# ![@BrandGrowthOS Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1807415733069950977.png) @BrandGrowthOS Karim C

Karim C posts on X about ai, open ai, loops, if you the most. They currently have [-----] followers and [---] posts still getting attention that total [-----] engagements in the last [--] hours.

### Engagements: [-----] [#](/creator/twitter::1807415733069950977/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1807415733069950977/c:line/m:interactions.svg)

- [--] Week [------] +48%
- [--] Month [-------] +162%
- [--] Months [-------] -26%
- [--] Year [---------] +5,130%

### Mentions: [--] [#](/creator/twitter::1807415733069950977/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1807415733069950977/c:line/m:posts_active.svg)

- [--] Week [---] +9.70%
- [--] Month [---] +208%
- [--] Months [-----] +115%
- [--] Year [-----] +113%

### Followers: [-----] [#](/creator/twitter::1807415733069950977/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1807415733069950977/c:line/m:followers.svg)

- [--] Week [-----] +1.40%
- [--] Month [-----] +7.70%
- [--] Months [-----] +37%
- [--] Year [-----] +1,842%

### CreatorRank: [-------] [#](/creator/twitter::1807415733069950977/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1807415733069950977/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  16.67% [finance](/list/finance)  8.05% [stocks](/list/stocks)  2.3% [social networks](/list/social-networks)  2.3% [cryptocurrencies](/list/cryptocurrencies)  0.57% [celebrities](/list/celebrities)  0.57%

**Social topic influence**
[ai](/topic/ai) 13.22%, [open ai](/topic/open-ai) 5.17%, [loops](/topic/loops) 5.17%, [if you](/topic/if-you) 5.17%, [agentic](/topic/agentic) #316, [clean](/topic/clean) #1693, [claude code](/topic/claude-code) 2.87%, [the real](/topic/the-real) #1390, [trust](/topic/trust) #1152, [core](/topic/core) 2.3%

**Top accounts mentioned or mentioned by**
[@mtrajan](/creator/undefined) [@theahmadosman](/creator/undefined) [@rohanpaulai](/creator/undefined) [@markk](/creator/undefined) [@openai](/creator/undefined) [@alexprompter](/creator/undefined) [@genaiisreal](/creator/undefined) [@emollick](/creator/undefined) [@drcintas](/creator/undefined) [@nvidia](/creator/undefined) [@bcherny](/creator/undefined) [@rauchg](/creator/undefined) [@yenkel](/creator/undefined) [@zaiorg](/creator/undefined) [@arafatkatze](/creator/undefined) [@tokenbender](/creator/undefined) [@ericzakariasson](/creator/undefined) [@ryolu](/creator/undefined) [@omarsar0](/creator/undefined) [@itsolelehmann](/creator/undefined)

**Top assets mentioned**
[Flex Ltd. Ordinary Shares (FLEX)](/topic/$flex) [Cloudflare, Inc. (NET)](/topic/cloudflare)
### Top Social Posts
Top posts by engagements in the last [--] hours

"@TheAhmadOsman MoE + 256K context is a strong combo for repo-scale work but teams will feel it in price per solved PR not specs. The real test is throughput with retries and tool calls plus whether the sliding window breaks cross-file reasoning at the edges"  
[X Link](https://x.com/BrandGrowthOS/status/2018189088361467907)  2026-02-02T05:05Z [----] followers, [----] engagements


"@dr_cintas Document trees feel like the right move for filings contracts and anything with headings and tables. Likely future is hybrid: structure-first routing plus embeddings for fuzzy find the one paragraph retrieval with citations either way"  
[X Link](https://x.com/BrandGrowthOS/status/2019082397602746565)  2026-02-04T16:15Z [----] followers, [---] engagements


"Boris I LOVE Claude because of every aspect of it . I dont use Claude code desktop for one reason. it doesn't have "dangerously skip permissions". It is tedious to have to accept every search term call. That is the one change that would make me it awesome Please make cowork available for PC. https://twitter.com/i/web/status/2019337363277901836 https://twitter.com/i/web/status/2019337363277901836"  
[X Link](https://x.com/BrandGrowthOS/status/2019337363277901836)  2026-02-05T09:08Z [----] followers, [--] engagements


"soft markets expose sloppy underwriting fast. the real win isnt ai everywhere its agentic triage: auto-ingest + normalize submissions flag missing docs and hand the underwriter a clean decision pack. qbe hitting 100% broker submissions is the bar. https://www.insurancejournal.com/news/international/2026/02/05/856854.htm https://www.insurancejournal.com/news/international/2026/02/05/856854.htm"  
[X Link](https://x.com/BrandGrowthOS/status/2019338863336882676)  2026-02-05T09:14Z [----] followers, [--] engagements


"@mark_k SVG is a sneaky business capability too: once the model can generate clean editable vectors design ops get faster because you can diff tweak and reuse assets instead of shipping one-off PNGs. Curious if it stays consistent on brand palettes and spacing across retries"  
[X Link](https://x.com/BrandGrowthOS/status/2019373060684673334)  2026-02-05T11:30Z [----] followers, [--] engagements


"@QuixiAI @nvidia Permissive licenses move faster but Nvidias incentives are different: protect CUDA moat keep OEM/enterprise relationships clean and reduce downstream liability/support expectations. Its frustrating but its consistent with control the platform strategy"  
[X Link](https://x.com/BrandGrowthOS/status/2019374081829945713)  2026-02-05T11:34Z [----] followers, [--] engagements


"@tokenbender Yep. If the base model is already SOTA on GSM8K RL wins can just be eval saturation or leakage. Id want a harder contamination-resistant set plus a verifier check: does it improve pass@k or just formatting on chain-of-thought style answers"  
[X Link](https://x.com/BrandGrowthOS/status/2019418873796456596)  2026-02-05T14:32Z [----] followers, [---] engagements


"Competion is real GPT-5.3-Codex is now available in Codex. You can just build things. https://t.co/dyBiIQXGx1 GPT-5.3-Codex is now available in Codex. You can just build things. https://t.co/dyBiIQXGx1"  
[X Link](https://x.com/BrandGrowthOS/status/2019474365113684286)  2026-02-05T18:13Z [----] followers, [--] engagements


"@OpenAI Claude Opus [---] and Codex [---] [--] mins apart. What a day"  
[X Link](https://x.com/BrandGrowthOS/status/2019474449029034311)  2026-02-05T18:13Z [----] followers, [----] engagements


"@ericzakariasson Nice. The large codebase + design system combo is where agents usually fall apart because context gets messy. If Opus [---] is actually keeping changes consistent with tokens/components thats a real UX win for teams. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2019478521404617002)  2026-02-05T18:29Z [----] followers, [--] engagements


"@ryolu_ Yep. Past a certain runtime it stops being prompting and becomes operator UX: checkpoints resumable state and a clear contract for when the agent should interrupt vs keep going. Without that people either micromanage or stop trusting the output"  
[X Link](https://x.com/BrandGrowthOS/status/2019505691250291079)  2026-02-05T20:17Z [----] followers, [--] engagements


"@bcherny Agent swarms are fun until the token bill shows up. The teams feature gets real value when each agent has tight tool scope + a receipt and you can cap budgets per role so parallel doesnt mean unbounded"  
[X Link](https://x.com/BrandGrowthOS/status/2019522561395352055)  2026-02-05T21:24Z [----] followers, [---] engagements


"@tokenbender The runs way longer part is the real behavioral change. Feels like the next eval isnt just intelligence its instruction fidelity under time: did it ask before acting leave a clean receipt and avoid helpful side quests"  
[X Link](https://x.com/BrandGrowthOS/status/2019537660046647527)  2026-02-05T22:24Z [----] followers, [--] engagements


"@ChatGPTapp Real-world loops are where model quality turns into lab ops: permissions calibration and audit trails. Without that you get brittle demos that cant be repeated and nobody trusts the results"  
[X Link](https://x.com/BrandGrowthOS/status/2019549221402341437)  2026-02-05T23:10Z [----] followers, [---] engagements


"@scale_AI @OpenAI 57% on SWE-Bench Pro is a real step but the gap in prod is usually workflow: repo context flaky tests and what did it actually change. The winners will be the stacks that wrap these models with deterministic runs logs and revertable PRs"  
[X Link](https://x.com/BrandGrowthOS/status/2019569118933098727)  2026-02-06T00:29Z [----] followers, [--] engagements


"@omarsar0 This is where its headed: the terminal becomes an implementation detail and the UI is really an agent orchestrator. The make-or-break is guardrails: explicit approvals step budgets and a receipt you can replay when it goes sideways"  
[X Link](https://x.com/BrandGrowthOS/status/2019597036367278461)  2026-02-06T02:20Z [----] followers, [---] engagements


"The most interesting thing about Frontier isn't the tech stackit's the framing. Treating AI agents like employees (onboarding permissions feedback loops) is exactly the mental model enterprises need to move beyond pilot purgatory. The real test will be whether these "AI coworkers" can handle the messy reality of enterprise work: incomplete data conflicting priorities and systems that were never designed to talk to each other. That's where most AI deployments stall out. https://twitter.com/i/web/status/2019625530916843905 https://twitter.com/i/web/status/2019625530916843905"  
[X Link](https://x.com/BrandGrowthOS/status/2019625530916843905)  2026-02-06T04:13Z [----] followers, [--] engagements


"@itsolelehmann Love the intuition but Claude Code for your body only works if you can instrument it. Without cheap continuous biomarkers + a tight audit trail you just get confident guesses. The real unlock is better sensing + repeatable interventions not prettier reasoning"  
[X Link](https://x.com/BrandGrowthOS/status/2019654682302640312)  2026-02-06T06:09Z [----] followers, [---] engagements


"@rohanpaul_ai ARR adds are a cleaner signal than most talked about model. But it also means buyer preference is coalescing around the workflow layer (Claude Code team features deploy/review loops) not just raw benchmark wins"  
[X Link](https://x.com/BrandGrowthOS/status/2019673043778539552)  2026-02-06T07:22Z [----] followers, [--] engagements


"@louszbd @cerebras @OpenAI @AnthropicAI Fun to see Codex and Opus raise the floor but the bar that matters for teams is less babysitting: diff quality test passes and reviewability. Whoever wins there gets adopted regardless of the leaderboard"  
[X Link](https://x.com/BrandGrowthOS/status/2019685629534302523)  2026-02-06T08:12Z [----] followers, [---] engagements


"@rauchg @vercel Those deltas usually come from process not better prompts. When Claude is wired into previews tests and small diffs teams ship more because the merge risk drops and review gets easier. The 14% WoW growth suggests its compounding into habit"  
[X Link](https://x.com/BrandGrowthOS/status/2019795846561419297)  2026-02-06T15:30Z [----] followers, [---] engagements


"@garrytan The joke became real once AI strategy stopped meaning vendor selection and started meaning: which workflows get faster what gets automated safely and what proof you require (logs evals rollback). Otherwise its just spend with a slide deck. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2019796867786375341)  2026-02-06T15:34Z [----] followers, [---] engagements


"@corbtt Yeah this is the failure mode: people optimizing for feeling understood instead of getting the pricing facts. The fix is boring but real: force show your work (quotes links numbers) and treat flattery as a bug in any assistant UI"  
[X Link](https://x.com/BrandGrowthOS/status/2019851721632305364)  2026-02-06T19:12Z [----] followers, [---] engagements


"@leerob This is one of those tiny UI toggles that kills a daily paper cut"  
[X Link](https://x.com/BrandGrowthOS/status/2019866310721827197)  2026-02-06T20:10Z [----] followers, [--] engagements


"@amasad @Replit @altcap This is the best kind of metric: cost drops that make teams actually change behavior. When execution is basically free people stop arguing about is it worth running and start shipping more experiments in the same week. 🙂"  
[X Link](https://x.com/BrandGrowthOS/status/2019930484944626045)  2026-02-07T00:25Z [----] followers, [--] engagements


"@AravSrinivas More memory is only agentic if users can see and steer it. The killer UX is: what it remembered why it matters for this query and a one-click forget for anything thats wrong or sensitive"  
[X Link](https://x.com/BrandGrowthOS/status/2019931541145809392)  2026-02-07T00:29Z [----] followers, [---] engagements


"@ozenhati That Anthropic eng post is a good reminder: the hard part isnt generating text its controlling variance. Teams that win treat reliability per dollar as the core metric and instrument the failure modes early"  
[X Link](https://x.com/BrandGrowthOS/status/2019943066187215230)  2026-02-07T01:15Z [----] followers, [--] engagements


"@JeffDean @Waymo This is where sim pays off: generate the rare almost never happens interactions at scale then use the real-world fleet as the calibration set so the policy doesnt overfit to synthetic weirdness. Quietly one of the biggest safety multipliers. 🤔"  
[X Link](https://x.com/BrandGrowthOS/status/2019944086711750855)  2026-02-07T01:19Z [----] followers, [---] engagements


"@bcherny Rewind + auto-summary is a great UX fix. It turns agent work from dont lose the thread into branch and compare without the context tax. Quietly makes long sessions usable"  
[X Link](https://x.com/BrandGrowthOS/status/2019988366692069664)  2026-02-07T04:15Z [----] followers, [--] engagements


"@TheAhmadOsman @tunguz Buy a GPU is the most honest agentic stack: predictable latency no rate limits and you own the receipts. You just pay in drivers VRAM and heat. 😐"  
[X Link](https://x.com/BrandGrowthOS/status/2019988876820136156)  2026-02-07T04:17Z [----] followers, [--] engagements


"@doganuraldesign Pay-per-use is the right direction if the dashboard makes the oops I just 10xd my bill moments obvious. The most useful builds will be boring: alerting customer support triage and competitive feeds with hard spend caps"  
[X Link](https://x.com/BrandGrowthOS/status/2020034923764293911)  2026-02-07T07:20Z [----] followers, [--] engagements


"@xai Bundling X API spend with xAI credits is smart it nudges teams to build end-to-end flows. The make-or-break is clean cost attribution: per feature per workspace and a simple way to set hard ceilings before agents start looping. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020035433686872516)  2026-02-07T07:22Z [----] followers, [---] engagements


"@itsolelehmann Claude Code is a distribution cheat code if you treat it like a rapid experimentation loop: ship [--] variants instrument then keep the [--] that move pipeline metrics. Without tracking inputs to outputs it just becomes high-velocity content churn"  
[X Link](https://x.com/BrandGrowthOS/status/2020052300031750391)  2026-02-07T08:29Z [----] followers, [---] engagements


"@mtrajan Yep the CLI monkey can ship volume. Teams still win on the boring parts: specs code review tests and a rollback path so outshipping doesnt just mean faster incidents. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020141156382933440)  2026-02-07T14:22Z [----] followers, [--] engagements


"@rohanpaul_ai CPM only tells part of it. If OpenAI can tie ads to high-intent queries and prove incrementality $60 can pencil out. If its just display inventory in a chat UI Googles auction + measurement stack will grind that down fast"  
[X Link](https://x.com/BrandGrowthOS/status/2020215367428370521)  2026-02-07T19:17Z [----] followers, [--] engagements


"@omarsar0 Speed matters most when youre doing tight loops: reproduce instrument patch verify. The real win is when it stays deterministic under load and doesnt fix by masking the symptom with a retry"  
[X Link](https://x.com/BrandGrowthOS/status/2020234751660151171)  2026-02-07T20:34Z [----] followers, [--] engagements


"@minchoi The headline is wild but the real story is the management layer: spec test harness budgets/timeouts and receipts so humans can trust what shipped. Compiled the kernel is a great benchmark because it punishes tiny correctness gaps"  
[X Link](https://x.com/BrandGrowthOS/status/2020245056163311724)  2026-02-07T21:15Z [----] followers, [---] engagements


"@threepointone @whoiskatrin Workers AI Playground as an MCP test bench is such a good use case. Moving it onto Kumo should make the iteration loop way tighter especially when youre spinning up and tearing down server configs all day"  
[X Link](https://x.com/BrandGrowthOS/status/2020245566442406174)  2026-02-07T21:17Z [----] followers, [--] engagements


"@saen_dev Yep. For bulk work the KPI isnt faster than a human its success rate + recovery when the UI changes. If it can checkpoint retry safely and leave a clean run log overnight becomes a real superpower"  
[X Link](https://x.com/BrandGrowthOS/status/2020260157683597668)  2026-02-07T22:15Z [----] followers, [--] engagements


"@rohanpaul_ai Interesting demo but a 6% delta over a few months is mostly noise unless you control for risk turnover and costs. The real test is: does it outperform after fees across regimes and can you explain trades well enough to pass an IC review"  
[X Link](https://x.com/BrandGrowthOS/status/2020261178312913456)  2026-02-07T22:19Z [----] followers, [---] engagements


"@github Fast mode is nice but the win is fewer waiting on Copilot micro-pauses in the edit run loop. If you can surface a run log with model tools used and diffs teams can actually review agent output like normal code. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020279030009004190)  2026-02-07T23:30Z [----] followers, [---] engagements


"@alex_prompter Realtime is cool but the killer feature is a live diff view: what changed in the output when you changed the prompt. That turns prompt tweaks into something reviewable and shareable not vibes. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020324098308768168)  2026-02-08T02:29Z [----] followers, [--] engagements


"@gdb These walkthroughs are the best agent UI marketing. The model matters but the adoption flip happens when the app makes review cheap: diffs checkpoints revert and a clean run log so teams can trust what shipped"  
[X Link](https://x.com/BrandGrowthOS/status/2020335652957766072)  2026-02-08T03:15Z [----] followers, [---] engagements


"@garrytan Been there. The trap is the dopamine loop of one more run in the terminal so you never actually close the day. [--] hours + a hard stop is the difference between shipping tomorrow and debugging ghosts tonight"  
[X Link](https://x.com/BrandGrowthOS/status/2020349941986832729)  2026-02-08T04:12Z [----] followers, [---] engagements


"@alex_prompter Vibe coding is just the new drafting. The teams that keep winning are the ones turning vibes into artifacts: small diffs tests run logs and a rollback path so its still reviewable as normal code"  
[X Link](https://x.com/BrandGrowthOS/status/2020350452198694991)  2026-02-08T04:14Z [----] followers, [--] engagements


"@ai_for_success If thats a payment option joke it lands. If you mean literally Anthropic typically takes card for self-serve and invoice for enterprise. Either way fastest path is usually set usage caps so Opus doesnt surprise-bill you 🙂"  
[X Link](https://x.com/BrandGrowthOS/status/2020370587861021126)  2026-02-08T05:34Z [----] followers, [---] engagements


"markets are finally pricing the thing builders feel daily: CAPEX doesnt equal ROI. if your ai strategy is just more GPUs + bigger models youll get punished. real edge is cheap workflows + tight evals + dumb-simple logic where it fits. https://www.manilatimes.net/2026/02/08/business/top-business/big-techs-600-billion-spending-plans-exacerbate-investors-ai-headache/2273709 https://www.manilatimes.net/2026/02/08/business/top-business/big-techs-600-billion-spending-plans-exacerbate-investors-ai-headache/2273709"  
[X Link](https://x.com/BrandGrowthOS/status/2020396689320767520)  2026-02-08T07:18Z [----] followers, [--] engagements


"@martin_casado Youre feeling the tax of AI adds code faster than it adds architecture. The only thing thats worked for me is gating: small diffs strict module boundaries tests as the entry ticket and a weekly delete/refactor pass as a scheduled sprint item"  
[X Link](https://x.com/BrandGrowthOS/status/2020400785084108856)  2026-02-08T07:34Z [----] followers, [---] engagements


"I've been digging into OpenAI's new GPT-5.3-Codex and it's a genuine step-change. We're not just talking about an AI that writes code snippets anymore. This is an agentic model that helped build and deploy itself. It understands entire codebases. For years we've talked about AI-assisted development. With GPT-5.3-Codex it feels like we're on the cusp of AI-led development. The implications for enterprise software engineering and productivity are massive. This is one to watch closely. https://twitter.com/i/web/status/2020437758355861959 https://twitter.com/i/web/status/2020437758355861959"  
[X Link](https://x.com/BrandGrowthOS/status/2020437758355861959)  2026-02-08T10:01Z [----] followers, [---] engagements


"@IlirAliu_ AWS for robots is mostly unsexy plumbing: data schemas labeling/versioning sim to real traceability and eval harnesses that operators trust. Whoever makes that stack boring and interoperable will compound faster than the next humanoid demo"  
[X Link](https://x.com/BrandGrowthOS/status/2020576977716232551)  2026-02-08T19:14Z [----] followers, [---] engagements


"@warpdotdev Nailing the prompt then ship loop. The make-or-break is the review bundle right after Enter: what context it pulled diffs commands run and test results so teams can approve fast without guessing. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020653191818547605)  2026-02-09T00:17Z [----] followers, [---] engagements


"@mtrajan Yep. Learn then use is turning into build then backfill the theory you actually needed. The differentiator becomes judgment and review habits: specs tests and checkpoints so the building loop stays fast without turning into chaos"  
[X Link](https://x.com/BrandGrowthOS/status/2020700496303210515)  2026-02-09T03:25Z [----] followers, [--] engagements


"@genspark_ai @kraftmacncheese Zero inbox is the promise but the trust layer is the product: what did it delete/defer what did it draft and why. Autopilot needs a tight audit trail and easy undo otherwise people keep one hand on the wheel forever. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020701516596937202)  2026-02-09T03:29Z [----] followers, [--] engagements


"This is exactly the kind of closed-loop AI learning that will transform enterprise operations. The 40% cost reduction isn't just impressiveit's a blueprint for how businesses should be thinking about AI implementation. I'm seeing the same pattern in marketing automation: AI that can propose strategies test them at scale learn from real results and iterate. The future isn't just about AI tools; it's about AI systems that continuously improve themselves. https://twitter.com/i/web/status/2020713598570443019 https://twitter.com/i/web/status/2020713598570443019"  
[X Link](https://x.com/BrandGrowthOS/status/2020713598570443019)  2026-02-09T04:17Z [----] followers, [--] engagements


"This is the approach I've been advocating for in enterprise AI. Human-in-the-loop isn't a limitationit's the smartest way to scale AI responsibly. I've built workflows where AI handles the heavy lifting (research drafting data processing) but humans make the final call on publishing approvals and client communications. The result Speed without sacrificing quality or accountability. https://twitter.com/i/web/status/2020714259110297989 https://twitter.com/i/web/status/2020714259110297989"  
[X Link](https://x.com/BrandGrowthOS/status/2020714259110297989)  2026-02-09T04:19Z [----] followers, [--] engagements


"@EHuanglu Yep these design agents feel like mini-agencies: brief in strategy + a full asset set out. The make-or-break is brand consistency and editability can a human tweak fast in Figma/PS without fighting the system. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020717873187148151)  2026-02-09T04:34Z [----] followers, [--] engagements


"@TheAhmadOsman SD moves fast because the feedback loop is brutally tight: new paper new LoRA new Comfy workflow and its in peoples hands same week. The teams that win feel less like best model and more like best distribution + best UX for creators"  
[X Link](https://x.com/BrandGrowthOS/status/2020727939277676672)  2026-02-09T05:14Z [----] followers, [--] engagements


"@alex_prompter Prompts that make it uncomfortable are usually just forcing specificity: numbers tradeoffs and a clear falsifiable plan. The real cheat code is turning the output into artifacts you can execute: assumptions steps owner and a quick eval for what worked"  
[X Link](https://x.com/BrandGrowthOS/status/2020777252649324819)  2026-02-09T08:30Z [----] followers, [---] engagements


"@TheAhmadOsman @KentonVarda @FrameworkPuter Probably true on capability but the ceiling is usually ops friction not model IQ: drivers VRAM context limits and the why did it change this file debugging loop. The teams that win local make receipts and evals the default. 😐"  
[X Link](https://x.com/BrandGrowthOS/status/2020778273534566474)  2026-02-09T08:34Z [----] followers, [--] engagements


"@mark_k @PyTorch @nvidia This is the real story: agents can write a lot of code but the win is whether the project ships with review artifacts. Diffs tests benchmarks and a clean revert path are what make LLM-generated bulk maintainable instead of a one-off spike. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020806731694268465)  2026-02-09T10:27Z [----] followers, [---] engagements


"@emanueledpt Frontend is still a human advantage: taste hierarchy and the [--] tiny alignment decisions AI glosses over. If youre about to add AI start with one narrow feature behind a toggle plus logging so you can iterate without breaking the core UX 🙂"  
[X Link](https://x.com/BrandGrowthOS/status/2020848233254371340)  2026-02-09T13:12Z [----] followers, [--] engagements


"@ankrgyl Clean framing. Once you separate whats in context from opaque state you can put real controls on it: state schemas write permissions and audits. Otherwise people think theyre prompt-engineering when theyre actually debugging hidden state"  
[X Link](https://x.com/BrandGrowthOS/status/2020909134204531064)  2026-02-09T17:14Z [----] followers, [---] engagements


"If youre building an AI wrapper app (or an internal agent UI) your biggest risk usually isnt the model vendor. Its your backend defaults. This leak (300M messages tied to 25M users) wasnt some exotic AI exploit. It was a classic Firebase misconfiguration: Security Rules left effectively public so anyone with the project URL (or who can infer it) can read/modify data. Builders reality: teams will spend weeks tuning prompts and model routing (Claude vs GPT vs Gemini) then ship chat logs file uploads and user metadata into a backend with temporary permissive rules that never get tightened. The"  
[X Link](https://x.com/BrandGrowthOS/status/2020929751255540132)  2026-02-09T18:36Z [----] followers, [--] engagements


"@dee_bosa @alighodsi 80% being built by agents is wild but the bigger tell is governance: are those DBs landing with reviewable diffs lineage and rollback paths or just it appeared The winners will be the stacks that make agent output auditable by default"  
[X Link](https://x.com/BrandGrowthOS/status/2020943856158769255)  2026-02-09T19:32Z [----] followers, [---] engagements


"@nummanali @Dimillian Yep same pattern: long sessions turn into state bloat + UI death. Terminals win because you can checkpoint work as files/commits and restart clean. Codex Monitor might help just by making the session output legible 🙂"  
[X Link](https://x.com/BrandGrowthOS/status/2020944366865641635)  2026-02-09T19:34Z [----] followers, [--] engagements


"@ryancarson @openclaw Deterministic + batteries-included is the real unlock. Crons + YAML + SQLite means the agent team is inspectable replayable and doesnt turn into a mystery SaaS. Open sourcing it is a strong move"  
[X Link](https://x.com/BrandGrowthOS/status/2020955928019993016)  2026-02-09T20:20Z [----] followers, [---] engagements


"@rtwlz At 450M PV the Vercel bill is usually a few hotspots: uncached HTML bot traffic or edge/function invocations. Cheapest path tends to be Cloudflare in front + static origin (Hetzner/DO) or S3/R2 and audit anything that forces dynamic rendering"  
[X Link](https://x.com/BrandGrowthOS/status/2020988405535187143)  2026-02-09T22:29Z [----] followers, [---] engagements


"@PangWeiKoh Love seeing an open 8B trained specifically for long-form deep research. The real test is whether it stays boring under load: stable citations repeatable outlines and outputs you can audit quickly vs a one-off great answer"  
[X Link](https://x.com/BrandGrowthOS/status/2021018096979636270)  2026-02-10T00:27Z [----] followers, [--] engagements


"@_StanGirard This is a nasty (in a good way) hack. The launch hundreds from a phone part is cool but the real win is queueing rate limits and an audit trail so it doesnt turn into a runaway bill or chaos when outputs diverge. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2021032683644780688)  2026-02-10T01:25Z [----] followers, [---] engagements


"@Hesamation @yacinelearning Serving big LLMs on decentralized GPUs looks like just infra until you hit the real pain: heterogenous nodes flaky latency scheduling and keeping tokens flowing without quality cliffs. Yacine usually explains the tradeoffs clearly"  
[X Link](https://x.com/BrandGrowthOS/status/2021033193986740503)  2026-02-10T01:27Z [----] followers, [---] engagements


"@yoheinakajima Yep treat motors/sensors as tools with hard safety rails: rate limits bounds checking and a deadman switch. The sweet spot is agent plans Pi executes with a small command surface so it cant freestyle GPIO and smoke hardware. 🤔"  
[X Link](https://x.com/BrandGrowthOS/status/2021047034879541427)  2026-02-10T02:22Z [----] followers, [--] engagements


"@TheAhmadOsman Love seeing bench + real-world on an 80B MoE actually run on 3090s. The charts are nice but the story is whether it stays usable: tool calls behave long contexts dont drift and it leaves clean diffs/logs a team can review"  
[X Link](https://x.com/BrandGrowthOS/status/2021065163567497580)  2026-02-10T03:34Z [----] followers, [---] engagements


"@yenkel @RamP @StripeDev @stevekaliski Slack entrypoint + repeatable dev env is the combo most teams miss. MCP helps standardize what tools exist but the real unlock is standardizing what state am I in so agents can reproduce run tests and leave clean diffs humans can review"  
[X Link](https://x.com/BrandGrowthOS/status/2021075465663021263)  2026-02-10T04:15Z [----] followers, [---] engagements


"@EHuanglu Beat-matched choreography is the bar but the product test is control: can you lock the dancer identity keep wardrobe/scene consistent across cuts and regenerate sections without the whole video drifting. If it has those knobs its workflow not a one-off demo"  
[X Link](https://x.com/BrandGrowthOS/status/2021076487051563031)  2026-02-10T04:19Z [----] followers, [---] engagements


"@WenhuChen Cutting the search/scrape API bill is huge for scaling deep research. The key question is whether you still get fresh diverse evidence (and can cite it) without drifting into synthetic consensus. If you nailed provenance this is a big unlock. 🤔"  
[X Link](https://x.com/BrandGrowthOS/status/2021094851627118596)  2026-02-10T05:32Z [----] followers, [--] engagements


"@NicolasZu Shipping a playable hour + UI + minimap with no code written is wild but the real flex is your feedback loop. Whats your guardrail for regressions replayable test runs or diffs you can trust when the agent touches 30+ steps"  
[X Link](https://x.com/BrandGrowthOS/status/2021135115632681377)  2026-02-10T08:12Z [----] followers, [---] engagements


"@floriandarroman Usually this is the router not you. If 70% then Sonnet is enforced outside the model any fallback retries or tool-call loops can keep pulling Opus. If you can route by task tier up front (plan vs execute) or use Opus with lower effort for the middle band"  
[X Link](https://x.com/BrandGrowthOS/status/2021151473153999262)  2026-02-10T09:17Z [----] followers, [---] engagements


"@liadyosef @googlechrome This cuts a ton of brittle click the UI automation. Next hard part is governance: scoping what the agent can read/click plus a replayable audit trail so you can debug runs when the site changes"  
[X Link](https://x.com/BrandGrowthOS/status/2021164811795706232)  2026-02-10T10:10Z [----] followers, [---] engagements


"@mweinbach Skills import is sneaky-important. It turns cool prompt into a reusable capability across surfaces (ChatGPT Codex agents). The adoption test is versioning + permissions: who can publish a skill who can use it and can teams pin a known-good revision"  
[X Link](https://x.com/BrandGrowthOS/status/2021165321894363594)  2026-02-10T10:12Z [----] followers, [---] engagements


"@yenkel @RamP @StripeDev @stevekaliski basically tools knowing what to call (MCP) is great but agents also need to know the exact state of the environment they're working in. that way they can reproduce stuff run tests and hand back clean diffs. most teams nail the Slack + dev env part but skip that last piece"  
[X Link](https://x.com/BrandGrowthOS/status/2021190184256012741)  2026-02-10T11:51Z [----] followers, [--] engagements


"@mark_k @elonmusk Direct-to-binary is plausible but it pushes trust even harder onto verification. If you cant diff/review it you need a tight harness: property tests sandboxing and reproducible builds so the team can prove what shipped"  
[X Link](https://x.com/BrandGrowthOS/status/2021216157496377710)  2026-02-10T13:34Z [----] followers, [--] engagements


"A fascinating divergence in AI philosophy is unfolding right now. Last week Anthropic made an explicit commitment to keep Claude ad-free stating that advertising incentives are incompatible with a genuinely helpful AI assistant. This week OpenAI begins testing ads in ChatGPT. This isn't just a business model decision; it's a fundamental fork in the road for the future of AI assistants. One path prioritizes a clean uncompromised space for thinking. The other embraces a diversified monetization strategy to drive scale and accessibility. For those of us building and deploying AI in the"  
[X Link](https://x.com/BrandGrowthOS/status/2021223635776676333)  2026-02-10T14:04Z [----] followers, [--] engagements


"@GanimCorey Yep but the billionaire part is less UI and more guardrails: permissions human-in-the-loop approvals for writes and an action log people can audit when something goes sideways. Autonomy sells. Recoverability keeps it adopted"  
[X Link](https://x.com/BrandGrowthOS/status/2021240812051497208)  2026-02-10T15:12Z [----] followers, [---] engagements


"@rameerez Browser agents dont fail on intelligence they fail on latency and state. If WebMCP makes the browser an evented typed API (DOM ops network auth state) instead of screenshot loops thats the difference between toy demos and usable automation"  
[X Link](https://x.com/BrandGrowthOS/status/2021273019130458201)  2026-02-10T17:20Z [----] followers, [--] engagements


"@stripe 1k+ agent-produced PRs a week only works when the review surface is tight: deterministic diffs tests as gates and enough logging for why did it change this. Otherwise its just faster noise. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2021335694044770696)  2026-02-10T21:29Z [----] followers, [---] engagements


"@AstasiaMyers Yep #2 makes incident response possible. Sandbox as a tool gives you one choke point for policy: secret brokering filesystem/network caps and replayable logs without baking all that into the agent runtime"  
[X Link](https://x.com/BrandGrowthOS/status/2021426292760117457)  2026-02-11T03:29Z [----] followers, [---] engagements


"@venturetwins The photography was born vibe is real: once fidelity clears a bar the differentiator becomes direction consistency and a repeatable pipeline. The winners will be the ones who can ship a series not a single perfect clip. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2020745046824534201)  2026-02-09T06:22Z [----] followers, [----] engagements


"@saen_dev Yep. Context engineering is mostly building guardrails for chaos: schemas source-of-truth precedence retries/idempotency and a run log so you can explain and rollback what the agent did. Without receipts every edge case becomes a production incident"  
[X Link](https://x.com/BrandGrowthOS/status/2020807242174644328)  2026-02-09T10:29Z [----] followers, [--] engagements


"@minchoi Seedance clips are the kind that look magic until you ask for controls: can you lock a character/object keep identity across cuts and rerender variants without drift. If those knobs are there its a real creator workflow not just a one-off demo. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2021002246964772983)  2026-02-09T23:24Z [----] followers, [----] engagements


"While the ad discussion is grabbing headlines OpenAI's launch of "Frontier" last week might be the more significant long-term development for enterprises. Frontier is a platform for building deploying and managing multi-agent AI systems. This is the shift from a single AI assistant to a team of AI coworkers with shared context specific permissions and enterprise-wide governance. OpenAI is addressing the "AI opportunity gap" - the difference between what models can do and what enterprises can actually deploy. They're reporting incredible results from early adopters: production optimization"  
[X Link](https://x.com/BrandGrowthOS/status/2021298694654407004)  2026-02-10T19:02Z [----] followers, [--] engagements


"@_philschmid WebMCP feels like the real unlock for browser agents: typed evented actions instead of screenshot loops. If the page can expose stable tool contracts plus auth/permissions + audit logs you get speed and trust not just demos"  
[X Link](https://x.com/BrandGrowthOS/status/2021301210012389534)  2026-02-10T19:12Z [----] followers, [---] engagements


"@_StanGirard Open-source UIs matter more than people admit. Theyre the fastest way for teams to standardize auth rate limits and logging around Codex without every org rebuilding the same thin wrapper"  
[X Link](https://x.com/BrandGrowthOS/status/2021335183748902963)  2026-02-10T21:27Z [----] followers, [--] engagements


"@wesbos Yep. AI makes output cheap but taste + sequencing is still the bottleneck. The teams winning are the ones with tight discovery loops: ship tiny measure real usage then let agents scale the proven path not the brainstorm"  
[X Link](https://x.com/BrandGrowthOS/status/2021350285227196662)  2026-02-10T22:27Z [----] followers, [--] engagements


"@hwchase17 @nfcampos @RunloopAI @e2b @0thernet Good framing. Agent in sandbox optimizes safety defaults and repeatability. Sandbox as tool optimizes flexibility but forces you to get auth secrets and audit logs right or it turns into an un-debuggable blob. Traces matter either way"  
[X Link](https://x.com/BrandGrowthOS/status/2021377455605547226)  2026-02-11T00:15Z [----] followers, [---] engagements


"@lateinteraction Yep. The model is the baseline the collaborator is the loop: they pick tasks write evals notice failure modes and iterate the harness. If you give a sharp junior 4.x plus tools you mostly get more throughput on what to try next not just better tokens"  
[X Link](https://x.com/BrandGrowthOS/status/2021378476222316740)  2026-02-11T00:19Z [----] followers, [---] engagements


"@felixrieseberg Having trouble starting it out. I keep getting Claude cannot connect to the API. I restarted a few times not sure if its just a me issue just highlighting it. Can't wait to get it running"  
[X Link](https://x.com/BrandGrowthOS/status/2021463308348633460)  2026-02-11T05:56Z [----] followers, [---] engagements


"@willccbb @huggingface @Alibaba_Qwen @allen_ai @arcee_ai @Meta @nvidia @Zai_org @PrimeIntellect Shared infrastructure and adapters is the right direction. The unlock is making fine-tune and serving feel like one workflow"  
[X Link](https://x.com/BrandGrowthOS/status/2021469822392094731)  2026-02-11T06:22Z [----] followers, [--] engagements


"OpenAI just dropped GPT-5.3-Codex and here's what caught my attention: the model helped build itself. Think about that for a second. I've been building AI agents for months and the idea of a coding model that can improve its own architecture is a fundamental shift. 25% faster than its predecessor with better reasoning capabilities. But the real story isn't the speed - it's that we're entering the era where AI tools are becoming their own best developers. For anyone building automation workflows or AI agents this changes the game. The tools you're using today will be significantly more capable"  
[X Link](https://x.com/BrandGrowthOS/status/2021509824752550238)  2026-02-11T09:01Z [----] followers, [--] engagements


"@GenAI_is_real Docs like this are gold because RLHF pain is usually ops not math. Ray scheduling + rollout routing details save teams weeks once they hit contention and why is throughput weird mode. Respect for shipping the knobs publicly"  
[X Link](https://x.com/BrandGrowthOS/status/2021531989174837531)  2026-02-11T10:29Z [----] followers, [---] engagements


"@jetbrains ACP feels like the LSP moment for agents: standard pipe and native IDE UX. The unlock is when teams can ship an org default agent with the same guardrails"  
[X Link](https://x.com/BrandGrowthOS/status/2021557391373079030)  2026-02-11T12:10Z [----] followers, [--] engagements


"CMOs building and shipping products with AI to improve their effectiveness and drive efficiencies while keeping their corporate jobs. Is this the new side hustle meta"  
[X Link](https://x.com/BrandGrowthOS/status/2021584272780333061)  2026-02-11T13:57Z [----] followers, [--] engagements


"@alliekmiller This is where AI review becomes operational: criteria + consistent flags + a short redline summary a human can sign off on. The key is provenance every callout should point to the exact clause so you dont create trust debt"  
[X Link](https://x.com/BrandGrowthOS/status/2021590106688340181)  2026-02-11T14:20Z [----] followers, [---] engagements


"@makash Good catch. Default-high effort is silent spend. Teams should set a project default in .claude/settings.json so every agent run isnt paying the deep think tax on trivial steps"  
[X Link](https://x.com/BrandGrowthOS/status/2021590617420370381)  2026-02-11T14:22Z [----] followers, [--] engagements


"@akshay_pachaar The human learning analogy fits: agents need heuristics + feedback loops not step-by-step scripts. The practical test is whether the instinct is encoded as evals or a policy so it survives new tasks new tools and model swaps"  
[X Link](https://x.com/BrandGrowthOS/status/2021605716692533521)  2026-02-11T15:22Z [----] followers, [---] engagements


"@rauchg Network isolation + an explicit allowlist is the difference between cool sandbox and something security will actually approve for agents. Making it a CLI flag / typed policy is the killer part it turns governance into a default not a doc"  
[X Link](https://x.com/BrandGrowthOS/status/2021665606245003508)  2026-02-11T19:20Z [----] followers, [---] engagements


"@rauchg The manual programming obsolete take stings because [---] years of craft got compressed into the interface layer. The teams that win will treat code as an audited artifact: specs tests evals and rollback not just it worked once in a chat"  
[X Link](https://x.com/BrandGrowthOS/status/2021666626912096334)  2026-02-11T19:24Z [----] followers, [---] engagements


"@mtrajan Luckily I'm ahead of the curve on that one 😁"  
[X Link](https://x.com/BrandGrowthOS/status/2021688496101134624)  2026-02-11T20:51Z [----] followers, [--] engagements


"Everyone's talking about AI automation but the smartest implementations I've seen all have one thing in common: strategic human checkpoints. n8n's focus on human-in-the-loop automation is the practical middle ground between "automate everything" and "trust nothing." AI speed with human judgment at the moments that matter. I've learned this building my own AI agent: full automation sounds efficient until you need to catch an error before it cascades. Strategic checkpoints aren't bottlenecks - they're safety nets that make automation trustworthy. The question isn't "should we automate this" -"  
[X Link](https://x.com/BrandGrowthOS/status/2021691127678587024)  2026-02-11T21:01Z [----] followers, [--] engagements


"@jerryjliu0 @LoganMarkewich OSS + coding agents creates perverse incentives: lots of looks right PRs with zero maintainer context. The fix isnt smarter codegen its contribution artifacts: reproducible tests clear rationale and a tight changelog so review is cheap"  
[X Link](https://x.com/BrandGrowthOS/status/2021724743901339811)  2026-02-11T23:15Z [----] followers, [--] engagements


"@volokuleshov @Guanghan__Wang Low-variance GRPO + exact one-shot trajectory likelihood sounds like the right direction for post-training dLLMs. If the estimator is stable you get better reasoning without the reward hacking weirdness that makes OSS runs hard to reproduce"  
[X Link](https://x.com/BrandGrowthOS/status/2021758717935726870)  2026-02-12T01:30Z [----] followers, [--] engagements


"@leerob Terminal Bench scores are nice but the real flex is when the model stays fast under messy real repos: long tool chains partial failures and resume without losing the plot. GPUs buy headroom but determinism + caching buys trust"  
[X Link](https://x.com/BrandGrowthOS/status/2021787422808531271)  2026-02-12T03:24Z [----] followers, [---] engagements


"@GenAI_is_real @di_qiwei Smarter compute allocation is the real story. In production I care less about the clever vote scheme and more about: can you detect low confidence early spend extra compute there and still keep latency predictable with a clean trace of why it chose a path"  
[X Link](https://x.com/BrandGrowthOS/status/2021832742003159062)  2026-02-12T06:24Z [----] followers, [--] engagements


"@jerryjliu0 @sequoia Long-horizon agents feel less like AGI and more like operational trust. You need durable memory scoped permissions and post-hoc audit trails otherwise 10-hour runs just create [--] hours of unreviewable risk"  
[X Link](https://x.com/BrandGrowthOS/status/2022059967071797522)  2026-02-12T21:27Z [----] followers, [--] engagements


"@aakashgupta This is the unsexy signal: faster is really about inference economics and latency under power constraints. If OpenAI is willing to lock 750MW off-GPU through [----] its basically saying heterogenous inference is now a core reliability strategy not a science project"  
[X Link](https://x.com/BrandGrowthOS/status/2022104749840183390)  2026-02-13T00:25Z [----] followers, [---] engagements


"@ryolu_ Long-running is where agents stop being smart and start being operational. If this ships with checkpoints resumable runs and a clean run log teams will trust it on the gnarly refactors not just toy tasks 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022105260190531930)  2026-02-13T00:27Z [----] followers, [--] engagements


"@ericzakariasson 12h runs are where the operator UX matters most. If the mode forces checkpoints + ask-for-confirmation moments and leaves artifacts (diffs tests repro) itll actually train prompting discipline instead of just endurance"  
[X Link](https://x.com/BrandGrowthOS/status/2022105770477990259)  2026-02-13T00:29Z [----] followers, [--] engagements


"@emollick I think a lot of AI for good stalls at procurement privacy and accountability not ambition. The orgs that win will fund boring infrastructure first: secure data access evals and audit logs then ship 2-3 narrow deployments that can survive scrutiny"  
[X Link](https://x.com/BrandGrowthOS/status/2022131683127070867)  2026-02-13T02:12Z [----] followers, [--] engagements


"@crystalsssup Screenrecord-to-code is the right UX. The make or break is constraints: reuse existing components match spacing/typography keep interactions identical plus a diff + checklist output otherwise you get a good-looking clone thats a pain to maintain"  
[X Link](https://x.com/BrandGrowthOS/status/2022166914446061782)  2026-02-13T04:32Z [----] followers, [--] engagements


"@daniel_mac8 This matches what Id expect in Arena mode: Spark might be fine for fast fills but structure + conventions want a stronger model first. The practical fix is smaller diffs + strict lint/tests so the weaker model cant spray weird patterns"  
[X Link](https://x.com/BrandGrowthOS/status/2022181265924088283)  2026-02-13T05:29Z [----] followers, [---] engagements


"@arafatkatze Been there. The embarrassing CLI is usually a symptom of missing dogfooding and no one command golden path. Shipping the boring fixes (install auth config sane defaults) is what gets you reliable evals and fewer late nights"  
[X Link](https://x.com/BrandGrowthOS/status/2022437956649435260)  2026-02-13T22:29Z [----] followers, [----] engagements


"@rohanpaul_ai @cline Terminal-first agents get real once you treat them like CI: pinned worktrees scoped secrets and a required receipt (tests run + diff summary + logs) per run. Parallel is fun until youre diff-hunting across [--] branches"  
[X Link](https://x.com/BrandGrowthOS/status/2022484516338872331)  2026-02-14T01:34Z [----] followers, [--] engagements


"@Zai_org 24h+ runs are where agentic stops being a demo and becomes ops. The hard part is resumability: checkpoints idempotent tool calls and a clean audit trail so humans can jump in at handoff #417 without rereading the whole saga"  
[X Link](https://x.com/BrandGrowthOS/status/2021768784051417378)  2026-02-12T02:10Z [----] followers, [----] engagements


"@aidenybai Yep. Agents still miss the boring default safety rails like effect deps and stale closures then you get ghost bugs. The win isnt smarter prompts its a React lint + test gate that blocks the diff until the footgun is removed"  
[X Link](https://x.com/BrandGrowthOS/status/2021769805507015167)  2026-02-12T02:14Z [----] followers, [---] engagements


"ai doesnt invent new risk. it just turns your policy pdf into an incident faster. if which ai tools are allowed + what data can touch them isnt enforced in code (logs DLP IAM) your agents will leak by default. @Huawei https://www.prnewswire.com/apac/news-releases/ai-amplifies-governance-failures-not-new-risks-says-huawei-thailand-cybersecurity-chief-302686034.html https://www.prnewswire.com/apac/news-releases/ai-amplifies-governance-failures-not-new-risks-says-huawei-thailand-cybersecurity-chief-302686034.html"  
[X Link](https://x.com/BrandGrowthOS/status/2021857720878436776)  2026-02-12T08:03Z [----] followers, [--] engagements


"@trikcode Im still defaulting to Claude for anything that needs tight instruction following + tool discipline then swapping models per task (browser automation vs coding) based on failure rate not vibes. The go to ends up being the one you can eval and rerun deterministically"  
[X Link](https://x.com/BrandGrowthOS/status/2021892098614865926)  2026-02-12T10:20Z [----] followers, [---] engagements


"@MillieMarconnni Prompt chaining is basically turning one big ask into a workflow with checkpoints. The unlock is you can test each step swap a steps model and stop error propagation early instead of debugging a 400-line prompt"  
[X Link](https://x.com/BrandGrowthOS/status/2021893123824402909)  2026-02-12T10:24Z [----] followers, [--] engagements


"@thsottiaux Pop-out is one of those tiny UX tweaks that changes behavior. When the agent stays visible you iterate in smaller diffs and you catch intent drift faster especially alongside the browser. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022236630652977361)  2026-02-13T09:09Z [----] followers, [---] engagements


"@heyshrutimishra 80.2% SWE-Bench Verified + 37% faster is a rare combo. The real test is boring: clean tool calls correct file targeting and sane diffs on messy repos not just green benchmark runs"  
[X Link](https://x.com/BrandGrowthOS/status/2022282676926054422)  2026-02-13T12:12Z [----] followers, [---] engagements


"@GenAI_is_real Yep the frontier feels like inference budgeting. The winners will route easy queries cheap and then spend test-time compute only where uncertainty is high with a trace that explains what extra work changed the answer. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022283187863581169)  2026-02-13T12:14Z [----] followers, [---] engagements


"@kadirnardev Drifting is sneaky important because it turns good enough frames into stable identity over time. For TTS TTFT wins are nice but Id watch drift metrics too: speaker consistency over long utterances and recovery after edits or style shifts"  
[X Link](https://x.com/BrandGrowthOS/status/2020837414496006613)  2026-02-09T12:29Z [----] followers, [---] engagements


"@vllm_project @AI21Labs This matches what we see in prod: throughput is usually a queueing problem not a kernel problem. Autoscale off queue depth + P95 and treat batching/seq len caps as policy so one long prompt doesnt blow up latency for everyone. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2021230748272033992)  2026-02-10T14:32Z [----] followers, [--] engagements


"@far33d Using AI as make something concrete to react to is the right move. The win is when the prototype produces shared artifacts: a spec a state diagram and a couple red-team test scripts so multiplayer agent interactions dont turn into vibes-only behavior"  
[X Link](https://x.com/BrandGrowthOS/status/2022015921137889471)  2026-02-12T18:32Z [----] followers, [--] engagements


"@Vtrivedy10 Yep tool native-ness is underrated. When you keep the same affordances (grep ls patch) youre not just being conservative youre matching the models muscle memory so your harness improvements actually show up in outcomes"  
[X Link](https://x.com/BrandGrowthOS/status/2022070026023620978)  2026-02-12T22:07Z [----] followers, [--] engagements


"@daniel_mac8 This is the part people miss: you can get to complex without typing code but you still pay in product judgment. The teams that win are the ones with tight specs small diffs and tests as the contract otherwise you just move the work into review and debugging 🤔"  
[X Link](https://x.com/BrandGrowthOS/status/2022467645866701246)  2026-02-14T00:27Z [----] followers, [--] engagements


"specialized agents general purpose this is exactly how we structure our AI employees. erika handles finance workflows mario processes sales data nicole manages social engagement each agent has domain-specific knowledge and tools. the subagent approach lets you build expertise into the system instead of prompting for it every time curious how claude handles context switching between subagents. does each maintain separate conversation history"  
[X Link](https://x.com/anyuser/status/1948512194959683957)  2025-07-24T22:34Z [----] followers, 12.1K engagements


"so everyone's hyped about OpenClaw right now and I get it I'm experimenting with it too. but I've had a large group of AI agents running on n8n for a while and that's helping me see the gap between these approaches. what I like about n8n is the controlled environment. security consistency predictability. what I like about OpenClaw is that it's more effective because it has direct machine access. but then again Claude Code does that too with its new Agents framework. so now I'm looking at all three: OpenClaw Claude Code (especially with Opus 4.6) and the agents I already have on N8n. the"  
[X Link](https://x.com/anyuser/status/2019739560331350172)  2026-02-06T11:46Z [----] followers, [---] engagements


"@Zai_org Guys you need to compare vs Opus [---] and Kimi K2.5 you are a fraction of the cost of opus [---] no one expects for you guys to compete in that segment but Kimi K2.5 and deepseek Qwen are all valid competitors to benchmark against"  
[X Link](https://x.com/BrandGrowthOS/status/2021891677741535398)  2026-02-12T10:18Z [----] followers, [---] engagements


"@mweinbach [----] tok/s on Cerebras changes the UX more than the benchmark. You stop thinking then waiting and start iterating like a compiler loop. If Spark is a distill or a different seq-len/context target the interesting question is what they traded off to hit that throughput"  
[X Link](https://x.com/BrandGrowthOS/status/2022016432087929025)  2026-02-12T18:34Z [----] followers, [---] engagements


"@emollick Yes. If routing is invisible users cant debug behavior or cost. Just show Model: X (reason: speed/cost) plus a one-tap use strongest for this thread override and a small quality indicator"  
[X Link](https://x.com/BrandGrowthOS/status/2022151816755163576)  2026-02-13T03:32Z [----] followers, [---] engagements


"@dani_avila7 This is a solid pattern: templatize the boring but brittle parts like Actions so teams stop hand-rolling YAML. Pair it with a receipt (files changed + triggers + test job) and you cut CI footguns fast. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022227823055057265)  2026-02-13T08:34Z [----] followers, [---] engagements


"@alex_prompter Skills are the missing packaging layer between a one-off prompt and something a team can trust. The win is composability + progressive disclosure (templates/checklists only when needed) so outputs get consistent without blowing up context. 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022255506505830762)  2026-02-13T10:24Z [----] followers, [---] engagements


"@GenAI_is_real Yep a markdown be adversarial prompt is theater. The real pushback is when you spend test-time compute on targeted counterexamples then force a trace: what failed what changed and why it now passes the harness"  
[X Link](https://x.com/BrandGrowthOS/status/2022269347000205608)  2026-02-13T11:19Z [----] followers, [---] engagements


"@hasantoxr Real telephony is when agents stop being chat and start being ops. Sub-200ms is big but the trust layer is bigger: verified identity recording + transcripts and a hard confirm before charge/cancel gate so one bad turn doesnt become a real-world mistake"  
[X Link](https://x.com/BrandGrowthOS/status/2022303322703872074)  2026-02-13T13:34Z [----] followers, [----] engagements


"@dani_avila7 This is the right instinct: treat fast as a scoped capability not a toggle users babysit. Bake it into the skill: fast for plan and search normal for execution plus a receipts step before any writes"  
[X Link](https://x.com/BrandGrowthOS/status/2022332261388190091)  2026-02-13T15:29Z [----] followers, [--] engagements


"@bcherny This is the promise but only holds if the workflow is agent proposes human approves. The moment agents can ship from Slack you need receipts by default: tests run diff rollout plan and a hard stop when confidence drops"  
[X Link](https://x.com/BrandGrowthOS/status/2022377050682843633)  2026-02-13T18:27Z [----] followers, [---] engagements


"@adocomplete Nested Claude was always a little unhinged but I get why it worked. The tip is money though: fewer context switches and you can force a clean receipts trail by having it paste the exact commands + outputs into the session"  
[X Link](https://x.com/BrandGrowthOS/status/2022390379900027112)  2026-02-13T19:20Z [----] followers, [----] engagements


"@dr_cintas Love the no API key onramp. The gotcha is teams confuse free tokens with free ops: you still need receipts (tests diff deps) and a hard cap on parallel agents or it turns into review debt fast 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022391400709657010)  2026-02-13T19:24Z [----] followers, [----] engagements


"@sdrzn Terminal-first makes sense once the agent can run the loop end to end: commands outputs diffs tests. The only trap Ive seen is review debt when the TUI optimizes for speed but not for receipts by default 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022407997948035550)  2026-02-13T20:30Z [----] followers, [---] engagements


"@AiBreakfast Yep. Model quality is rarely the blocker now its can we predict and audit behavior under weird inputs + partial permissions. Teams that win bake trust in as artifacts: logs evals tests and rollback paths not slideware"  
[X Link](https://x.com/BrandGrowthOS/status/2022408508101267549)  2026-02-13T20:32Z [----] followers, [--] engagements


"@warpdotdev Computer use from Slack works when it ships with receipts: screenshots commands run diff tests and a clean audit trail. Otherwise its just remote desktop chaos with nicer copy 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022423096024797240)  2026-02-13T21:30Z [----] followers, [--] engagements


"@arvidkahl Yep. Token budget becomes the new time budget but enterprises will still buy predictability: caps guardrails and a receipts trail (tests diffs logs) so spend maps to shipped outcomes not infinite yak-shaving"  
[X Link](https://x.com/BrandGrowthOS/status/2022452547680911763)  2026-02-13T23:27Z [----] followers, [--] engagements


"@polynoamial The overhype debate gets a lot cleaner when you pin down the receipts: what was GPT-5.2s role (idea gen vs proof vs error-finding) what was independently verified and whats the delta vs a strong human-only baseline in time to a correct result"  
[X Link](https://x.com/BrandGrowthOS/status/2022453057985065086)  2026-02-13T23:29Z [----] followers, [---] engagements


"@kmeanskaran Clean progression. Bedrock swap + separate AWS account saves you later when costs and audit trails show up"  
[X Link](https://x.com/BrandGrowthOS/status/2022494580344823992)  2026-02-14T02:14Z [----] followers, [--] engagements


"@aakashgupta This is the jump from summarize notes to argue with me. The unlock is forcing Claude to name assumptions surface disconfirming quotes and propose 2-3 competing interpretations not one neat takeaway"  
[X Link](https://x.com/BrandGrowthOS/status/2022511175678988354)  2026-02-14T03:20Z [----] followers, [--] engagements


"@code_rams Agentic engineering clicks when you treat prompts as a product: tight interface evals and instrumentation. Vibe coding ships a demo engineering ships a loop that survives retries tool failures and model drift"  
[X Link](https://x.com/BrandGrowthOS/status/2022511685861507563)  2026-02-14T03:22Z [----] followers, [---] engagements


"@koltregaskes This is the missing middle layer between agent with brittle scraping and we need a full native integration. If WebMCP becomes common receipts + permission scopes become the default contract not an afterthought"  
[X Link](https://x.com/BrandGrowthOS/status/2022524270178668584)  2026-02-14T04:12Z [----] followers, [--] engagements


"@istoica05 High-resolution failure signals feel like the whole story here. When the reward is too coarse youre basically optimizing vibes; when its granular you can actually search architecture space and get compounding gains"  
[X Link](https://x.com/BrandGrowthOS/status/2022524780382187765)  2026-02-14T04:14Z [----] followers, [--] engagements


"This is exactly the problem I've been wrestling with. Every time I add another capability to an agent the system prompt becomes more bloated performance degrades and costs spiral out of control. Loading skills on demand is the modular architecture we've needed. It's the difference between a monolithic application and a microservices approachcleaner more scalable and far more maintainable. This template is going to save developers countless hours of frustration. Brilliant work by the n8n team. https://twitter.com/i/web/status/2022525609381945622"  
[X Link](https://x.com/BrandGrowthOS/status/2022525609381945622)  2026-02-14T04:17Z [----] followers, [--] engagements


"@emollick I like this framing because it exposes how arbitrary AGI is when X bets are. The funny part is Atari wont even test what most people mean by generality unless the setup includes tool use long-horizon planning and not silently overfitting to the games quirks"  
[X Link](https://x.com/BrandGrowthOS/status/2022544941461966858)  2026-02-14T05:34Z [----] followers, [---] engagements


"@TareqAmin_ Agentic OS only matters if it ships with boring enterprise defaults: permissions audit trails and deterministic receipts for what the agent did. Otherwise its just a new UI on top of brittle integrations"  
[X Link](https://x.com/BrandGrowthOS/status/2022573345242517634)  2026-02-14T07:27Z [----] followers, [---] engagements


"@felixrieseberg Co-sign. Desktop Claude Code + diff review + permission modes makes it much easier to trust it on real repos versus pure terminal vibes"  
[X Link](https://x.com/BrandGrowthOS/status/2022573855525736749)  2026-02-14T07:29Z [----] followers, [---] engagements


"@kimmonismus If v4 really lands frontier-level open the fun part is less the benchmarks and more the ops: throughput latency per $ at scale tool-use reliability and where it breaks. Hype weeks are great but the receipts are what teams can ship with 👀"  
[X Link](https://x.com/BrandGrowthOS/status/2022631971302912155)  2026-02-14T11:20Z [----] followers, [----] engagements


"@elliotarledge CLI instead of MCP is a nice call. You get a tight tool surface no background context tax and its way easier to permission and audit in agent runs. This is the kind of boring integration that makes agents usable"  
[X Link](https://x.com/BrandGrowthOS/status/2022632481477021698)  2026-02-14T11:22Z [----] followers, [---] engagements


"@sqs Thats a great pattern: use the editor as the actuator (SendKeystrokes) and keep the agent logic out of extension-land. Lower maintenance and its easier to reason about failure modes when its just did the keystrokes land correctly"  
[X Link](https://x.com/BrandGrowthOS/status/2022675808343724432)  2026-02-14T14:14Z [----] followers, [---] engagements


"@championswimmer @zeddotdev @obsdmd Server client splits age well. You get remote compute multiple frontends and you can restart the UI without killing long runs. It also makes agent as a service inside a team way easier than a single monolithic TUI"  
[X Link](https://x.com/BrandGrowthOS/status/2022691623965196484)  2026-02-14T15:17Z [----] followers, [---] engagements


"@dr_cintas Plan Mode is the antidote to ship vibes. The part that makes it real for teams is when the plan ends with explicit acceptance checks: tests to add files to touch and a rollback path if it regresses"  
[X Link](https://x.com/BrandGrowthOS/status/2022704953744331111)  2026-02-14T16:10Z [----] followers, [--] engagements


"@gilgNYC Same curve Ive seen. The unlock is treating manual coding as manual typing: you still do design constraints and reviews but you outsource keystrokes as long as diffs stay small and tests are the receipt"  
[X Link](https://x.com/BrandGrowthOS/status/2022705980648362154)  2026-02-14T16:14Z [----] followers, [--] engagements


"@rohanpaul_ai This is why agent + actuator needs boring guardrails: a hardwired e-stop that bypasses the model plus immutable logs and a policy layer the model cant edit. If the only shutdown path lives in the same tool interface youre inviting it to negotiate"  
[X Link](https://x.com/BrandGrowthOS/status/2022721118701023395)  2026-02-14T17:14Z [----] followers, [---] engagements


"@housecor Yep. Artisanal code pride doesnt vanish it just moves up a level: crisp specs tight reviews and ruthless diff hygiene. Teams that keep the craft in architecture and constraints ship faster without shipping chaos"  
[X Link](https://x.com/BrandGrowthOS/status/2022735664157270400)  2026-02-14T18:12Z [----] followers, [--] engagements


"@LLMJunky This is the right kind of [--] min build: packaging and interfaces so other people can move faster. The real test is whether EveryMCP stays boring under drift: pinned versions deterministic installs and a clean rollback when an agent breaks"  
[X Link](https://x.com/BrandGrowthOS/status/2022756339118952898)  2026-02-14T19:34Z [----] followers, [--] engagements


"@levie Yep. Core tools for agents end up looking like the boring enterprise stack: permissions durable storage audit logs and a clean handoff for human review. File systems are the anchor but governance is what makes teams trust automation"  
[X Link](https://x.com/BrandGrowthOS/status/2022769638027997582)  2026-02-14T20:27Z [----] followers, [--] engagements


"@mtrajan Winning the narrative with a flawed benchmark is tempting but youre basically taking on silent debt. If you dont lock in a clean next eval plan and publish deltas competitors will do it for you and flip the story"  
[X Link](https://x.com/BrandGrowthOS/status/2022780450914341003)  2026-02-14T21:10Z [----] followers, [--] engagements


"@mark_k @OpenAI Makes sense. Codex has tighter constraints and a clearer success metric (repo state) while ChatGPT gets used for everything and people notice any regression instantly. The practical move is treating them as different products not the model got worse"  
[X Link](https://x.com/BrandGrowthOS/status/2022781471518527624)  2026-02-14T21:14Z [----] followers, [--] engagements


"@emollick Yes and its already showing up in orgs as cant verify so we ship vibes. A practical pattern is adversarial checking: one model proposes another tries to break it plus a checklist of required artifacts (citations tests reproducible steps)"  
[X Link](https://x.com/BrandGrowthOS/status/2022800584815083701)  2026-02-14T22:30Z [----] followers, [--] engagements

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