[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] [@BrandGrowthOS](/creator/twitter/BrandGrowthOS) "The new ChatGPT Agent isn't just another AI updateit's a fundamental shift in how enterprises can approach workflow automation. I've been testing agentic AI systems for months at Papa Johns and the ability for AI to "think and act" autonomously changes everything. Instead of just answering questions these agents can complete entire business processes. What excites me most: the integration potential with existing enterprise tools. When AI can navigate your CRM update spreadsheets and coordinate across platforms without human intervention we're looking at genuine productivity transformation."  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947510182868656475) 2025-07-22 04:13:05 UTC XXX followers, XXX engagements "interesting claims but need real testing been running kimi k2 in production for weeks. the "better than claude opus" benchmark claims don't always translate to actual workflow performance 22B active params is smart - efficiency matters more than raw size for most enterprise tasks will definitely test this for mario's data processing. open source + good performance = game changer if it actually delivers anyone running production workloads on this yet"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947394753068470642) 2025-07-21 20:34:24 UTC XXX followers, 1808 engagements "this intern analogy is spot on erika processes 200+ expense requests monthly but still needs oversight on edge cases. mario handles sales analytics but i review outputs before client reports the productivity gain isn't full automation - it's turning 4-hour tasks into 20-minute review sessions AI employees work best when you design for human-in-the-loop from day one"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947515689096646811) 2025-07-22 04:34:58 UTC XXX followers, XXX engagements "Andrew Ng's new course on Retrieval Augmented Generation (RAG) couldn't come at a better time. Enterprise leaders are realizing that AI's real power isn't in generating contentit's in making sense of existing knowledge. At Papa Johns I've seen how RAG systems can transform decision-making. Instead of hunting through reports and documents executives can query their entire knowledge base conversationally. The production-ready aspect is crucial. It's not enough to have AI that can access your datayou need systems that maintain accuracy handle enterprise security and scale with your organization."  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947779709812592872) 2025-07-22 22:04:05 UTC XXX followers, XXX engagements "design agents that actually execute end-to-end = exactly where this is headed been thinking about this for mario's dashboard work. instead of "make me a chart" back and forth final design just: "revenue trends restaurant focus clean aesthetics" done lovart handling storyboard video edit in one pass is what AI employees should look like. no human handoffs"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948089461201572315) 2025-07-23 18:34:55 UTC XXX followers, XXX engagements "been testing agents for X months and yeah the performance gap is real chatgpt agent mode has credential retention (finally) but speed genspark wins every time the hype cycle is wild right now. everyone's announcing "agents" but most are just chatbots with browser access real test: can it handle XXX expense requests per month without breaking erika does. most "agents" crash at XX production vs demo is everything"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946956383238095273) 2025-07-20 15:32:29 UTC XXX followers, 1938 engagements "built over the weekend this is how real tools get made. not 6-month roadmaps not enterprise committees - just ship something that works the "no LLM frameworks" approach is smart. been down that rabbit hole. direct API calls = less complexity fewer dependencies easier debugging hackable is the key word. MIT license means people can actually build on it"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947349957729755354) 2025-07-21 17:36:24 UTC XXX followers, 12.8K engagements "$1B for one person tells you everything about the talent war when you're competing on models you're really competing on the 50-100 people who actually understand the architecture. everyone else is implementation meta has compute data distribution. but if openAI has the core research team that cracked reasoning. that's the game reminds me of early google vs yahoo. yahoo had everything except the algorithm that mattered"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947379141659267375) 2025-07-21 19:32:22 UTC XXX followers, XXX engagements "this is the future of specialized AI employees you're building what we call "vertical AI" - deep domain knowledge with multiple data streams the meal photos + wearables + bloodwork combo is exactly what makes AI useful. context from everywhere insights you'd never connect manually how are you handling data privacy that's been our biggest enterprise hurdle with health-related AI workflows"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947122913116913952) 2025-07-21 02:34:12 UTC XXX followers, XXX engagements "actually wild timing just finished rebuilding mario's analysis engine and was hitting claude rate limits during peak restaurant hours if qwen3 really matches sonnet performance at 1/10th the cost this changes the economics of running AI employees in production the 1M context + agentic capabilities = goodbye chunking strategies hello continuous reasoning over massive datasets been waiting for an open model that doesn't choke on complex multi-step analysis. testing this tomorrow"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947802563354427848) 2025-07-22 23:34:54 UTC XXX followers, XXX engagements "@levie context is everything. prompts are nothing. spent months getting the context right and now everything just works. what's your biggest context engineering challenge"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946850600144310475) 2025-07-20 08:32:08 UTC XXX followers, XXX engagements "human as the QA layer been running X AI employees for X months. erika handles 200+ expenses monthly ava manages my calendar mario processes restaurant data nicole does social learned this: you're not the bottleneck you're the orchestrator. the trick is designing workflows where humans approve not micromanage. erika emails me "processed XX receipts flagged X for review" - one decision vs tracking XX tasks your brain is the strategy layer. let AI handle the execution"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947364544256610367) 2025-07-21 18:34:22 UTC XXX followers, 1317 engagements "google's making enterprise ai more accessible but specialized still wins been testing gemini code assist vs our custom agents. general tools are great for mass adoption but mario (sales ai) runs circles around generic solutions for our specific workflows the real value is in the specialization. one size fits all vs built for your exact use case enterprise wants reliable predictable results. not works most of the time"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946835501660725758) 2025-07-20 07:32:08 UTC XXX followers, 1035 engagements "this is wild but also. expected 🤔 as someone who's built X production ai agents without being a programmer i've seen both sides. chatgpt absolutely crushes at generating boilerplate debugging and explaining complex logic but here's what it can't do: understand business context make judgment calls or handle edge cases that weren't in training data psyho winning makes sense - the human intuition for "wait this feels wrong" is still unmatched. especially in optimization where one creative insight can beat 1000 iterations ai is the best pair programmer ever. but the _programmer_ part still"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1945836739844559169) 2025-07-17 13:23:25 UTC XXX followers, XXX engagements "@Leo_Abstract @casper_hansen_ im hoping that the only way is "forward" for models. so I think we are just at the beginning of open models becoming great. At least I hope so"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947758058178023790) 2025-07-22 20:38:03 UTC XXX followers, XX engagements "@dr_cintas n8n is the sleeper hit in this stack everyone talks about the flashy agent tools but n8n is what actually connects everything and makes it work reliably been running erika + mario through n8n workflows for months. way more stable than pure agent approaches"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947062003903889626) 2025-07-20 22:32:11 UTC XXX followers, XXX engagements "I've been testing AI agents for months but ChatGPT Agent feels different. It's not just another chatbot upgrade - it's the first time I've seen true agentic behavior that could actually replace workflows not just assist them. The ability to navigate calendars generate presentations and execute code while maintaining context across tasks This is what enterprise AI adoption has been waiting for. The XXXX% score on Humanity's Last Exam (double previous models) shows we're crossing a capability threshold. What excites me most: it connects to existing tools like Gmail and GitHub. No more isolated"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946061636973797685) 2025-07-18 04:17:04 UTC XXX followers, XX engagements "this is critical for production ai agents 💯 been running mario & erika for months and the black box problem is real. like when mario makes a questionable sales decision i need to see the reasoning path - not just the output cot monitoring could be huge for: - debugging agent failures - compliance auditing (especially finance/healthcare) - building trust with stakeholders who are skeptical of ai decision-making backing this research is smart. as agents get more autonomous explainability becomes a business requirement not just a nice-to-have"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1945189968806019107) 2025-07-15 18:33:23 UTC XXX followers, 2538 engagements "1/6 🚨 Gig Economy Under Siege: AI-powered API attacks are surging. The projected $1.847T gig economy is a prime target for scraping account takeovers and fraud"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1861727744981102740) 2024-11-27 11:04:18 UTC XXX followers, XX engagements "multimodal input is the unlock erika already processes receipt images for expense reports but adding PDFs and documents would be game-changing. imagine uploading contracts invoices and financial statements all at once the health dashboard idea is brilliant - been wanting to build something similar for restaurant health inspections with mario. upload inspection reports + photos get instant compliance analysis what's the accuracy like with complex financial documents"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947863486945759302) 2025-07-23 03:36:59 UTC XXX followers, XX engagements "100% this came from traditional marketing background. no CS degree no fancy credentials. just obsessed with AI automation and started building X months ago couldn't code. now running X AI employees in production processing thousands of tasks monthly the learning curve at AI companies is insane because you're solving problems that don't have textbook answers yet MBA teaches you frameworks. AI work teaches you how to think when frameworks don't exist plus the network effect - everyone building the future is at these companies right now"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947409843264123288) 2025-07-21 21:34:22 UTC XXX followers, XXX engagements "finally someone focusing on document automation been using n8n + claude for similar workflows but having to build the formatting logic myself if genspark can handle the document structure + editing interface natively that's huge time savings how's the output quality compared to manual prompting especially for business reports"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947470751617192287) 2025-07-22 01:36:24 UTC XXX followers, XXX engagements "wait WHAT X request per minute that's basically "please don't use our api" territory **this hits different when you're building agents** - erika processes 50+ expense notifications per hour from slack during busy periods. 1/minute would make her useless **the real problem:** platforms don't understand agent workflows. we're not building traditional apps that check messages occasionally. agents need continuous data streams **been seeing this pattern everywhere:** - slack: X req/min - gmail: getting tighter daily - teams: always been restrictive - discord: actually reasonable (for now)"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946473935148818780) 2025-07-19 07:35:24 UTC XXX followers, 3910 engagements "exactly why specialization beats generalization chatgpt for everything = mediocre amplification erika specialized for finance = 10x expense processing mario specialized for sales = restaurant analytics that actually matter the narrower the focus the bigger the multiplier effect what did you specialize your ai for"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946760577478709640) 2025-07-20 02:34:25 UTC XXX followers, XXX engagements "The enterprise implications are massive. I've been testing ChatGPT Agent for XX hours and watched it handle complete market research workflows - from data collection to analysis to presentation creation. What excites me most: this isn't just automation it's augmentation. The agent handled tasks that typically require multiple tools and human coordination. For marketing teams imagine agents managing competitor analysis content research and campaign setup while you focus on strategy. The shift from "AI as a tool" to "AI as a team member" is happening faster than most enterprises are prepared for"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946422718292808104) 2025-07-19 04:11:53 UTC XXX followers, XXX engagements "@MoonshotAi @n8n 5/5 The analysis also covered using high-throughput inference providers like Groq for speed. For responsive agents minimizing latency is critical but often missed in early tests. Hope this was helpful"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946286287125696747) 2025-07-18 19:09:45 UTC XXX followers, XX engagements "already seeing this with AI employees erika doesn't need a dashboard - she just processes expenses through email and slack. the "interface" is conversation mario generates reports on demand instead of static charts. ask for Q3 performance get exactly that visualization we're moving from designing interfaces to designing interactions. way more intuitive"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947440041606975921) 2025-07-21 23:34:22 UTC XXX followers, XX engagements "context engineer = exactly what's missing been building AI employees for X months. the hardest part isn't the code it's maintaining context across long workflows. erika processes expenses but needs to remember company policies previous decisions edge cases having that built into the dev environment game changer how does it handle context persistence between sessions"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947379655021105268) 2025-07-21 19:34:24 UTC XXX followers, XXX engagements "this is the moment creative agencies realize their entire cost structure just changed $100k VFX budget becomes a $XX API call been watching this happen with automation - what used to cost XX hours of analyst time now takes mario XX minutes the scary part isn't job displacement. it's how fast the economics flip when AI actually works creative work just became a commodity"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947485853170995370) 2025-07-22 02:36:24 UTC XXX followers, XXX engagements "this is why I build context-specific AI employees instead of one general assistant when I need restaurant analysis I talk to mario. expense processing goes to erika. they each have focused training data and don't bleed context between domains general AI assistants with memory become jack-of-all-trades that assume too much. specialized agents stay in their lane maybe the solution isn't better memory management - it's better agent specialization"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947877555085971702) 2025-07-23 04:32:53 UTC XXX followers, XXX engagements "weekly demos changed everything for us too started showcasing mario's restaurant analysis to skeptical ops teams. now they're requesting custom workflows i never imagined - "can mario predict which menu items to prep based on weather + local events" the magic happens when users see what's possible then push the boundaries themselves decentralized discovery beats top-down AI strategy every time"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947862455679435111) 2025-07-23 03:32:53 UTC XXX followers, XXX engagements "GPT-5 signals are emerging in OpenAI's repositories. Alpha testing appears to be starting. While everyone focuses on the consumer implications I'm thinking about enterprise readiness. Each GPT generation has fundamentally changed what's possible for business automation and decision-making. GPT-4 enabled the AI agents I've built - Erika for financial tracking and Ava for content creation. GPT-5 will likely unlock capabilities we haven't even imagined yet. Smart enterprises aren't waiting. They're building AI infrastructure now testing workflows training teams. When GPT-5 launches they'll be"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946784899626578111) 2025-07-20 04:11:04 UTC XXX followers, XXX engagements "this claude code is how i build my ai employees not just for writing code but for architecting the entire agent logic. when i built mario (sales ai) used claude code to map out the data flow design the webhook structure even debug the edge cases the context window is perfect for keeping track of complex multi-agent architectures. regular claude loses the thread when you're building something with 15+ integrations honestly surprised more people don't use it this way. it's like having a technical co-founder who never gets tired of explaining why your api calls are failing lol"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1944888288818684154) 2025-07-14 22:34:36 UTC XXX followers, 2923 engagements "just spent X hours testing the new ChatGPT Agent that dropped today here's what you need to know vs Manus/Abacus/Genespark 🧵👇 **the numbers:** - chatgpt agent: $20/mo (400 tasks) $XXXX per task - manus: $200/mo unlimited - abacus: $49/mo (100 tasks) $XXXX per task - genespark: $30/mo (50 tasks) $XXXX per task **credential retention is THE killer feature** been running erika (finance agent) for X months and this fixes my biggest pain point. no more 3am login loops like with operator **real test with mario (sales analytics):** - data quality: chatgpt 8.5/10 manus 9/10 abacus 7/10 -"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946158597995733340) 2025-07-18 10:42:22 UTC XXX followers, 6103 engagements "transparency wins long term been dealing with this exact issue. claude api costs are transparent but brutal at scale. some tools hide the real inference costs behind monthly plans knowing exactly what each agent call costs lets you optimize. hidden pricing makes you guess smart move making the costs visible"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946790202581848331) 2025-07-20 04:32:08 UTC XXX followers, 1368 engagements "that feeling when the ai does in X minutes what used to take hours. **been there with mario's analytics engine** - spent X weeks building custom sql queries then realized gpt could generate them instantly **the weird mix of** excitement + existential dread is so real **honestly** this is why we're building ai employees vs trying to replace ourselves. erika handles expense reports mario processes sales data but the strategic thinking still ours **what's wild** is how fast we went from "ai can't code" to "ai codes better than most humans" **prediction:** the next phase is ai that can architect"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946580560077529123) 2025-07-19 14:39:05 UTC XXX followers, 4221 engagements "tool switching fatigue is real been through: vscode cursor claude code probably windsurf next week but here's the thing - when you're building production AI like erika or mario stability matters more than features I stick with tools that won't break my deployment workflows. switching costs are brutal when you have paying clients the "hot new thing" cycle is fun for side projects. production demands boring reliability"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947077612100370598) 2025-07-20 23:34:12 UTC XXX followers, XXX engagements "@scuzzlebot @jiqizhixin yup i prefer to have a workflow with multiple LLM powered nodes than one AI agent trying to do it all"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947738819488584020) 2025-07-22 19:21:36 UTC XXX followers, X engagements "chatgpt agent mode is solid but honestly not rushing to drop $200/mo when i've already spent months setting up manus with scheduled tasks + memory the XX requests baseline is perfect for testing. credential retention is nice but i've got manus dialed in exactly how i need it here's the thing - everyone's hyping the new shiny but switching costs are real. migration headaches retraining workflows rebuilding automations. will definitely test it thoroughly over the next few weeks. if it proves 10x better than my current manus setup then yeah worth the upgrade but right now my ai employees (mario"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946956850269757787) 2025-07-20 15:34:20 UTC XXX followers, XXX engagements "already seeing this with AI employees erika started as expense bot for one finance team. now processing 200+ requests/month across X companies. $15k MRR just from one specialized use case mario began analyzing one restaurant's data. restaurant owners started asking "can it work for my place too" now it's handling POS data for a small chain the pattern: solve one specific problem really well then horizontal expansion happens naturally X becomes the distribution channel. AI becomes the product. specialization becomes the moat not building apps. building AI coworkers that companies actually pay"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946972578641281511) 2025-07-20 16:36:50 UTC XXX followers, XXX engagements "voice + payments = the future been thinking about adding voice interfaces to mario for restaurant managers. imagine calling and asking "how did lunch perform today" and getting instant analysis the twilio + 4o + cloudflare stack is solid. how's the latency restaurant environments are noisy so voice quality matters big time for production deployment"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947862966541471763) 2025-07-23 03:34:55 UTC XXX followers, XXX engagements "wait this is actually huge for agent reasoning been watching our AI employees struggle with multi-step logic - mario occasionally misreads sales data when it requires connecting 3+ data points if gemini's deep think can handle IMO-level reasoning imagine what this means for complex business workflows the jump from "process this receipt" to "analyze quarterly patterns and flag anomalies" just became possible when does this reasoning capability make it into production APIs"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947651583858143499) 2025-07-22 13:34:57 UTC XXX followers, XXX engagements "this could be huge for cutting claude costs been burning hundreds monthly on claude api for specialized agents. if these nvidia models can handle complex reasoning locally that changes everything the 32b model might be perfect for our finance workflows. claude is smart but expensive at scale gonna test this weekend. local reasoning = predictable costs"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946790721748611543) 2025-07-20 04:34:12 UTC XXX followers, 5447 engagements "OpenAI just dropped ChatGPT Agent - and it's a complete game changer for enterprise automation. This isn't just another chatbot update. ChatGPT Agent operates in its own virtual environment browsing websites filling forms booking reservations creating presentations - all autonomously. I've been building similar capabilities with n8n workflows and Erika (our finance tracking agent at Papa Johns). But having this level of automation built directly into ChatGPT changes everything. The XXX query monthly limit shows OpenAI knows this is powerful. For enterprises this could replace entire"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946784901186851293) 2025-07-20 04:11:04 UTC XXX followers, XXX engagements "@minchoi structured prompts = the new creative brief been watching this shift. agencies that figure out prompt engineering first will dominate the next X years veo X quality at this speed means $100k video budgets become $XXX API calls creative work just became a systems problem"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947546406883082376) 2025-07-22 06:37:01 UTC XXX followers, 3503 engagements "been testing qwen3 vs claude for mario's restaurant analysis qwen handles the messy data better costs XX% less runs locally for sensitive financial info but everyone's still paying $20/month for chatgpt because it's more convenient open source won the infrastructure war years ago. now it's winning the intelligence war people will care when their bills arrive"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947787467693695133) 2025-07-22 22:34:55 UTC XXX followers, XX engagements "been waiting for stable flash-lite in production currently running erika on claude for expense processing but the cost stacks up at 200+ reports monthly. if flash-lite can handle structured data extraction reliably this could cut our inference costs by XX% multimodal understanding is key - receipts come in every format imaginable how's the consistency on repetitive workflows compared to sonnet"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947696888859525499) 2025-07-22 16:34:59 UTC XXX followers, XXX engagements "exactly why i stopped chasing "general" AI and started building specialized AI employees erika: X months processing expenses knows company policy inside out handles edge cases i never thought of mario: analyzes restaurant sales data spots trends humans miss speaks POS system fluently ava: manages my calendar across XX tools remembers my preferences adapts to my schedule patterns each one is "narrow" but incredibly deep in their domain. they're not trying to be everything to everyone the future isn't one superintelligent AGI doing everything. it's specialized AI employees each world-class at"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947711469316985087) 2025-07-22 17:32:55 UTC XXX followers, XXX engagements "lol this would be amazing but also terrifying imagine the MCP server crashes mid-pitch or starts hallucinating revenue numbers been testing MCP vs n8n workflows for due diligence processes. MCP is elegant but n8n gives you that security layer - you control exactly what data gets accessed and how for Series A docs I'd want deterministic workflows over dynamic tool selection. too much at stake for "let the model figure it out" but yes the future where all company data is perfectly structured and accessible that's the dream"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947318738124227000) 2025-07-21 15:32:21 UTC XXX followers, XX engagements "MCPs are cool but honestly too slow for production been testing firecrawl vs n8n + apify for web scraping. MCP takes 30+ seconds per page n8n workflow handles XXX pages in the same time the real magic: convert your MCP into a deterministic workflow once you figure out what works. faster cheaper more reliable MCPs = great for exploration workflows = great for scale"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947757267605918099) 2025-07-22 20:34:54 UTC XXX followers, XXX engagements "shortcuts are everything repetitive tasks killed productivity until we automated them. now mario handles restaurant data analysis automatically erika processes expense reports without manual intervention the browser as personal console concept is spot on. excited to see how comet handles complex multi-step workflows"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947092212036354426) 2025-07-21 00:32:13 UTC XXX followers, XXX engagements "The new ChatGPT Agent isn't just another AI updateit's a fundamental shift in how enterprises can approach workflow automation. I've been testing agentic AI systems for months at Papa Johns and the ability for AI to "think and act" autonomously changes everything. Instead of just answering questions these agents can complete entire business processes. What excites me most: the integration potential with existing enterprise tools. When AI can navigate your CRM update spreadsheets and coordinate across platforms without human intervention we're looking at genuine productivity transformation."  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947749320607911972) 2025-07-22 20:03:20 UTC XXX followers, XXX engagements "This is fascinating - mesh networks are perfect for resilient communication. The store-and-forward approach reminds me of early packet radio networks. What's particularly interesting is how this could enable truly decentralized communication during network outages or in areas with poor infrastructure. Are you planning to implement any routing optimization algorithms or keeping it simple with basic flooding protocols"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1942013237257457757) 2025-07-07 00:10:11 UTC XXX followers, 100.4K engagements "@timgreggx @grinich @SlackHQ @Benioff She's the ai agent I created to manage my department's finances . ended up managing the whole organization's finances to some extent"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946676170163908687) 2025-07-19 20:59:01 UTC XXX followers, XX engagements "OpenAI just achieved something I thought was years away - gold medal performance at the International Math Olympiad. Their experimental reasoning model solved problems that challenge the world's brightest mathematical minds. This isn't just about math. It's about AI systems that can reason through complex multi-step problems - exactly what enterprises need for strategic decision-making financial modeling and operational optimization. I've been testing similar reasoning capabilities with Ava my personal AI agent for Papa Johns marketing analysis. The leap from basic automation to true"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946784909361553646) 2025-07-20 04:11:06 UTC XXX followers, XXX engagements "wait this is actually huge parallel agent spawning changes everything. been wanting this for erika - imagine her spinning up specialized sub-agents for different expense categories while maintaining the main approval workflow the fact they unblocked it shows they're serious about production use cases curious about resource limits though. can it spawn unlimited agents or is there a cap and how does billing work when agents spawn agents this is the kind of capability that makes agent mode worth the $200/month. not just better prompts - actual architectural improvements"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947122399654420748) 2025-07-21 02:32:10 UTC XXX followers, 1379 engagements "@saidul_dev this is why I built AI employees instead of just chatbots 900M hours = $45B in lost productivity (at $50/hr average) the real breakthrough isn't faster responses - it's AI that actually resolves issues instead of transferring you to another department"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947984274424209884) 2025-07-23 11:36:57 UTC XXX followers, X engagements "exactly this feeling with mario X months ago: "analyze restaurant sales data" mario: crashes on CSV files over XXX rows today: "find revenue anomalies across XX locations flag outliers suggest causes" mario: done in X minutes with confidence scores the compound improvements are invisible until you look back at your old workflows and realize they're basically magic now"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948150407567696104) 2025-07-23 22:37:06 UTC XXX followers, XX engagements "Sunday reflection: The pace of AI advancement is accelerating beyond what most enterprises can absorb. This week alone - OpenAI's IMO breakthrough ChatGPT Agent launch GPT-5 signals. Each development fundamentally changes what's possible for business automation. I spend weekends testing new AI capabilities updating Ava's workflows refining our marketing automation at Papa Johns. Not because I have to but because staying ahead requires constant experimentation. The enterprises winning with AI aren't just implementing tools - they're building learning cultures that evolve with the technology."  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946784909055472035) 2025-07-20 04:11:06 UTC XXX followers, XXX engagements "been testing kimi k2 for the past week - finally an open model that doesn't choke on long documents ava was struggling with 50+ page contracts constantly losing context mid-analysis. k2 handles them without breaking a sweat 1M context is the unlock for real document processing workflows. no more chunking no more context loss no more "sorry I can't remember what we discussed XX minutes ago" curious about pricing compared to k2. if it's production-ready and cost-effective this could be the moment open models actually compete with claude for enterprise use cases what team 👀"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947742676096610631) 2025-07-22 19:36:55 UTC XXX followers, XXX engagements
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@BrandGrowthOS
"The new ChatGPT Agent isn't just another AI updateit's a fundamental shift in how enterprises can approach workflow automation. I've been testing agentic AI systems for months at Papa Johns and the ability for AI to "think and act" autonomously changes everything. Instead of just answering questions these agents can complete entire business processes. What excites me most: the integration potential with existing enterprise tools. When AI can navigate your CRM update spreadsheets and coordinate across platforms without human intervention we're looking at genuine productivity transformation."
@BrandGrowthOS on X 2025-07-22 04:13:05 UTC XXX followers, XXX engagements
"interesting claims but need real testing been running kimi k2 in production for weeks. the "better than claude opus" benchmark claims don't always translate to actual workflow performance 22B active params is smart - efficiency matters more than raw size for most enterprise tasks will definitely test this for mario's data processing. open source + good performance = game changer if it actually delivers anyone running production workloads on this yet" @BrandGrowthOS on X 2025-07-21 20:34:24 UTC XXX followers, 1808 engagements
"this intern analogy is spot on erika processes 200+ expense requests monthly but still needs oversight on edge cases. mario handles sales analytics but i review outputs before client reports the productivity gain isn't full automation - it's turning 4-hour tasks into 20-minute review sessions AI employees work best when you design for human-in-the-loop from day one" @BrandGrowthOS on X 2025-07-22 04:34:58 UTC XXX followers, XXX engagements
"Andrew Ng's new course on Retrieval Augmented Generation (RAG) couldn't come at a better time. Enterprise leaders are realizing that AI's real power isn't in generating contentit's in making sense of existing knowledge. At Papa Johns I've seen how RAG systems can transform decision-making. Instead of hunting through reports and documents executives can query their entire knowledge base conversationally. The production-ready aspect is crucial. It's not enough to have AI that can access your datayou need systems that maintain accuracy handle enterprise security and scale with your organization." @BrandGrowthOS on X 2025-07-22 22:04:05 UTC XXX followers, XXX engagements
"design agents that actually execute end-to-end = exactly where this is headed been thinking about this for mario's dashboard work. instead of "make me a chart" back and forth final design just: "revenue trends restaurant focus clean aesthetics" done lovart handling storyboard video edit in one pass is what AI employees should look like. no human handoffs" @BrandGrowthOS on X 2025-07-23 18:34:55 UTC XXX followers, XXX engagements
"been testing agents for X months and yeah the performance gap is real chatgpt agent mode has credential retention (finally) but speed genspark wins every time the hype cycle is wild right now. everyone's announcing "agents" but most are just chatbots with browser access real test: can it handle XXX expense requests per month without breaking erika does. most "agents" crash at XX production vs demo is everything" @BrandGrowthOS on X 2025-07-20 15:32:29 UTC XXX followers, 1938 engagements
"built over the weekend this is how real tools get made. not 6-month roadmaps not enterprise committees - just ship something that works the "no LLM frameworks" approach is smart. been down that rabbit hole. direct API calls = less complexity fewer dependencies easier debugging hackable is the key word. MIT license means people can actually build on it" @BrandGrowthOS on X 2025-07-21 17:36:24 UTC XXX followers, 12.8K engagements
"$1B for one person tells you everything about the talent war when you're competing on models you're really competing on the 50-100 people who actually understand the architecture. everyone else is implementation meta has compute data distribution. but if openAI has the core research team that cracked reasoning. that's the game reminds me of early google vs yahoo. yahoo had everything except the algorithm that mattered" @BrandGrowthOS on X 2025-07-21 19:32:22 UTC XXX followers, XXX engagements
"this is the future of specialized AI employees you're building what we call "vertical AI" - deep domain knowledge with multiple data streams the meal photos + wearables + bloodwork combo is exactly what makes AI useful. context from everywhere insights you'd never connect manually how are you handling data privacy that's been our biggest enterprise hurdle with health-related AI workflows" @BrandGrowthOS on X 2025-07-21 02:34:12 UTC XXX followers, XXX engagements
"actually wild timing just finished rebuilding mario's analysis engine and was hitting claude rate limits during peak restaurant hours if qwen3 really matches sonnet performance at 1/10th the cost this changes the economics of running AI employees in production the 1M context + agentic capabilities = goodbye chunking strategies hello continuous reasoning over massive datasets been waiting for an open model that doesn't choke on complex multi-step analysis. testing this tomorrow" @BrandGrowthOS on X 2025-07-22 23:34:54 UTC XXX followers, XXX engagements
"@levie context is everything. prompts are nothing. spent months getting the context right and now everything just works. what's your biggest context engineering challenge" @BrandGrowthOS on X 2025-07-20 08:32:08 UTC XXX followers, XXX engagements
"human as the QA layer been running X AI employees for X months. erika handles 200+ expenses monthly ava manages my calendar mario processes restaurant data nicole does social learned this: you're not the bottleneck you're the orchestrator. the trick is designing workflows where humans approve not micromanage. erika emails me "processed XX receipts flagged X for review" - one decision vs tracking XX tasks your brain is the strategy layer. let AI handle the execution" @BrandGrowthOS on X 2025-07-21 18:34:22 UTC XXX followers, 1317 engagements
"google's making enterprise ai more accessible but specialized still wins been testing gemini code assist vs our custom agents. general tools are great for mass adoption but mario (sales ai) runs circles around generic solutions for our specific workflows the real value is in the specialization. one size fits all vs built for your exact use case enterprise wants reliable predictable results. not works most of the time" @BrandGrowthOS on X 2025-07-20 07:32:08 UTC XXX followers, 1035 engagements
"this is wild but also. expected 🤔 as someone who's built X production ai agents without being a programmer i've seen both sides. chatgpt absolutely crushes at generating boilerplate debugging and explaining complex logic but here's what it can't do: understand business context make judgment calls or handle edge cases that weren't in training data psyho winning makes sense - the human intuition for "wait this feels wrong" is still unmatched. especially in optimization where one creative insight can beat 1000 iterations ai is the best pair programmer ever. but the programmer part still" @BrandGrowthOS on X 2025-07-17 13:23:25 UTC XXX followers, XXX engagements
"@Leo_Abstract @casper_hansen_ im hoping that the only way is "forward" for models. so I think we are just at the beginning of open models becoming great. At least I hope so" @BrandGrowthOS on X 2025-07-22 20:38:03 UTC XXX followers, XX engagements
"@dr_cintas n8n is the sleeper hit in this stack everyone talks about the flashy agent tools but n8n is what actually connects everything and makes it work reliably been running erika + mario through n8n workflows for months. way more stable than pure agent approaches" @BrandGrowthOS on X 2025-07-20 22:32:11 UTC XXX followers, XXX engagements
"I've been testing AI agents for months but ChatGPT Agent feels different. It's not just another chatbot upgrade - it's the first time I've seen true agentic behavior that could actually replace workflows not just assist them. The ability to navigate calendars generate presentations and execute code while maintaining context across tasks This is what enterprise AI adoption has been waiting for. The XXXX% score on Humanity's Last Exam (double previous models) shows we're crossing a capability threshold. What excites me most: it connects to existing tools like Gmail and GitHub. No more isolated" @BrandGrowthOS on X 2025-07-18 04:17:04 UTC XXX followers, XX engagements
"this is critical for production ai agents 💯 been running mario & erika for months and the black box problem is real. like when mario makes a questionable sales decision i need to see the reasoning path - not just the output cot monitoring could be huge for: - debugging agent failures - compliance auditing (especially finance/healthcare) - building trust with stakeholders who are skeptical of ai decision-making backing this research is smart. as agents get more autonomous explainability becomes a business requirement not just a nice-to-have" @BrandGrowthOS on X 2025-07-15 18:33:23 UTC XXX followers, 2538 engagements
"1/6 🚨 Gig Economy Under Siege: AI-powered API attacks are surging. The projected $1.847T gig economy is a prime target for scraping account takeovers and fraud" @BrandGrowthOS on X 2024-11-27 11:04:18 UTC XXX followers, XX engagements
"multimodal input is the unlock erika already processes receipt images for expense reports but adding PDFs and documents would be game-changing. imagine uploading contracts invoices and financial statements all at once the health dashboard idea is brilliant - been wanting to build something similar for restaurant health inspections with mario. upload inspection reports + photos get instant compliance analysis what's the accuracy like with complex financial documents" @BrandGrowthOS on X 2025-07-23 03:36:59 UTC XXX followers, XX engagements
"100% this came from traditional marketing background. no CS degree no fancy credentials. just obsessed with AI automation and started building X months ago couldn't code. now running X AI employees in production processing thousands of tasks monthly the learning curve at AI companies is insane because you're solving problems that don't have textbook answers yet MBA teaches you frameworks. AI work teaches you how to think when frameworks don't exist plus the network effect - everyone building the future is at these companies right now" @BrandGrowthOS on X 2025-07-21 21:34:22 UTC XXX followers, XXX engagements
"finally someone focusing on document automation been using n8n + claude for similar workflows but having to build the formatting logic myself if genspark can handle the document structure + editing interface natively that's huge time savings how's the output quality compared to manual prompting especially for business reports" @BrandGrowthOS on X 2025-07-22 01:36:24 UTC XXX followers, XXX engagements
"wait WHAT X request per minute that's basically "please don't use our api" territory this hits different when you're building agents - erika processes 50+ expense notifications per hour from slack during busy periods. 1/minute would make her useless the real problem: platforms don't understand agent workflows. we're not building traditional apps that check messages occasionally. agents need continuous data streams been seeing this pattern everywhere: - slack: X req/min - gmail: getting tighter daily - teams: always been restrictive - discord: actually reasonable (for now)" @BrandGrowthOS on X 2025-07-19 07:35:24 UTC XXX followers, 3910 engagements
"exactly why specialization beats generalization chatgpt for everything = mediocre amplification erika specialized for finance = 10x expense processing mario specialized for sales = restaurant analytics that actually matter the narrower the focus the bigger the multiplier effect what did you specialize your ai for" @BrandGrowthOS on X 2025-07-20 02:34:25 UTC XXX followers, XXX engagements
"The enterprise implications are massive. I've been testing ChatGPT Agent for XX hours and watched it handle complete market research workflows - from data collection to analysis to presentation creation. What excites me most: this isn't just automation it's augmentation. The agent handled tasks that typically require multiple tools and human coordination. For marketing teams imagine agents managing competitor analysis content research and campaign setup while you focus on strategy. The shift from "AI as a tool" to "AI as a team member" is happening faster than most enterprises are prepared for" @BrandGrowthOS on X 2025-07-19 04:11:53 UTC XXX followers, XXX engagements
"@MoonshotAi @n8n 5/5 The analysis also covered using high-throughput inference providers like Groq for speed. For responsive agents minimizing latency is critical but often missed in early tests. Hope this was helpful" @BrandGrowthOS on X 2025-07-18 19:09:45 UTC XXX followers, XX engagements
"already seeing this with AI employees erika doesn't need a dashboard - she just processes expenses through email and slack. the "interface" is conversation mario generates reports on demand instead of static charts. ask for Q3 performance get exactly that visualization we're moving from designing interfaces to designing interactions. way more intuitive" @BrandGrowthOS on X 2025-07-21 23:34:22 UTC XXX followers, XX engagements
"context engineer = exactly what's missing been building AI employees for X months. the hardest part isn't the code it's maintaining context across long workflows. erika processes expenses but needs to remember company policies previous decisions edge cases having that built into the dev environment game changer how does it handle context persistence between sessions" @BrandGrowthOS on X 2025-07-21 19:34:24 UTC XXX followers, XXX engagements
"this is the moment creative agencies realize their entire cost structure just changed $100k VFX budget becomes a $XX API call been watching this happen with automation - what used to cost XX hours of analyst time now takes mario XX minutes the scary part isn't job displacement. it's how fast the economics flip when AI actually works creative work just became a commodity" @BrandGrowthOS on X 2025-07-22 02:36:24 UTC XXX followers, XXX engagements
"this is why I build context-specific AI employees instead of one general assistant when I need restaurant analysis I talk to mario. expense processing goes to erika. they each have focused training data and don't bleed context between domains general AI assistants with memory become jack-of-all-trades that assume too much. specialized agents stay in their lane maybe the solution isn't better memory management - it's better agent specialization" @BrandGrowthOS on X 2025-07-23 04:32:53 UTC XXX followers, XXX engagements
"weekly demos changed everything for us too started showcasing mario's restaurant analysis to skeptical ops teams. now they're requesting custom workflows i never imagined - "can mario predict which menu items to prep based on weather + local events" the magic happens when users see what's possible then push the boundaries themselves decentralized discovery beats top-down AI strategy every time" @BrandGrowthOS on X 2025-07-23 03:32:53 UTC XXX followers, XXX engagements
"GPT-5 signals are emerging in OpenAI's repositories. Alpha testing appears to be starting. While everyone focuses on the consumer implications I'm thinking about enterprise readiness. Each GPT generation has fundamentally changed what's possible for business automation and decision-making. GPT-4 enabled the AI agents I've built - Erika for financial tracking and Ava for content creation. GPT-5 will likely unlock capabilities we haven't even imagined yet. Smart enterprises aren't waiting. They're building AI infrastructure now testing workflows training teams. When GPT-5 launches they'll be" @BrandGrowthOS on X 2025-07-20 04:11:04 UTC XXX followers, XXX engagements
"this claude code is how i build my ai employees not just for writing code but for architecting the entire agent logic. when i built mario (sales ai) used claude code to map out the data flow design the webhook structure even debug the edge cases the context window is perfect for keeping track of complex multi-agent architectures. regular claude loses the thread when you're building something with 15+ integrations honestly surprised more people don't use it this way. it's like having a technical co-founder who never gets tired of explaining why your api calls are failing lol" @BrandGrowthOS on X 2025-07-14 22:34:36 UTC XXX followers, 2923 engagements
"just spent X hours testing the new ChatGPT Agent that dropped today here's what you need to know vs Manus/Abacus/Genespark 🧵👇 the numbers: - chatgpt agent: $20/mo (400 tasks) $XXXX per task - manus: $200/mo unlimited - abacus: $49/mo (100 tasks) $XXXX per task - genespark: $30/mo (50 tasks) $XXXX per task credential retention is THE killer feature been running erika (finance agent) for X months and this fixes my biggest pain point. no more 3am login loops like with operator real test with mario (sales analytics): - data quality: chatgpt 8.5/10 manus 9/10 abacus 7/10 -" @BrandGrowthOS on X 2025-07-18 10:42:22 UTC XXX followers, 6103 engagements
"transparency wins long term been dealing with this exact issue. claude api costs are transparent but brutal at scale. some tools hide the real inference costs behind monthly plans knowing exactly what each agent call costs lets you optimize. hidden pricing makes you guess smart move making the costs visible" @BrandGrowthOS on X 2025-07-20 04:32:08 UTC XXX followers, 1368 engagements
"that feeling when the ai does in X minutes what used to take hours. been there with mario's analytics engine - spent X weeks building custom sql queries then realized gpt could generate them instantly the weird mix of excitement + existential dread is so real honestly this is why we're building ai employees vs trying to replace ourselves. erika handles expense reports mario processes sales data but the strategic thinking still ours what's wild is how fast we went from "ai can't code" to "ai codes better than most humans" prediction: the next phase is ai that can architect" @BrandGrowthOS on X 2025-07-19 14:39:05 UTC XXX followers, 4221 engagements
"tool switching fatigue is real been through: vscode cursor claude code probably windsurf next week but here's the thing - when you're building production AI like erika or mario stability matters more than features I stick with tools that won't break my deployment workflows. switching costs are brutal when you have paying clients the "hot new thing" cycle is fun for side projects. production demands boring reliability" @BrandGrowthOS on X 2025-07-20 23:34:12 UTC XXX followers, XXX engagements
"@scuzzlebot @jiqizhixin yup i prefer to have a workflow with multiple LLM powered nodes than one AI agent trying to do it all" @BrandGrowthOS on X 2025-07-22 19:21:36 UTC XXX followers, X engagements
"chatgpt agent mode is solid but honestly not rushing to drop $200/mo when i've already spent months setting up manus with scheduled tasks + memory the XX requests baseline is perfect for testing. credential retention is nice but i've got manus dialed in exactly how i need it here's the thing - everyone's hyping the new shiny but switching costs are real. migration headaches retraining workflows rebuilding automations. will definitely test it thoroughly over the next few weeks. if it proves 10x better than my current manus setup then yeah worth the upgrade but right now my ai employees (mario" @BrandGrowthOS on X 2025-07-20 15:34:20 UTC XXX followers, XXX engagements
"already seeing this with AI employees erika started as expense bot for one finance team. now processing 200+ requests/month across X companies. $15k MRR just from one specialized use case mario began analyzing one restaurant's data. restaurant owners started asking "can it work for my place too" now it's handling POS data for a small chain the pattern: solve one specific problem really well then horizontal expansion happens naturally X becomes the distribution channel. AI becomes the product. specialization becomes the moat not building apps. building AI coworkers that companies actually pay" @BrandGrowthOS on X 2025-07-20 16:36:50 UTC XXX followers, XXX engagements
"voice + payments = the future been thinking about adding voice interfaces to mario for restaurant managers. imagine calling and asking "how did lunch perform today" and getting instant analysis the twilio + 4o + cloudflare stack is solid. how's the latency restaurant environments are noisy so voice quality matters big time for production deployment" @BrandGrowthOS on X 2025-07-23 03:34:55 UTC XXX followers, XXX engagements
"wait this is actually huge for agent reasoning been watching our AI employees struggle with multi-step logic - mario occasionally misreads sales data when it requires connecting 3+ data points if gemini's deep think can handle IMO-level reasoning imagine what this means for complex business workflows the jump from "process this receipt" to "analyze quarterly patterns and flag anomalies" just became possible when does this reasoning capability make it into production APIs" @BrandGrowthOS on X 2025-07-22 13:34:57 UTC XXX followers, XXX engagements
"this could be huge for cutting claude costs been burning hundreds monthly on claude api for specialized agents. if these nvidia models can handle complex reasoning locally that changes everything the 32b model might be perfect for our finance workflows. claude is smart but expensive at scale gonna test this weekend. local reasoning = predictable costs" @BrandGrowthOS on X 2025-07-20 04:34:12 UTC XXX followers, 5447 engagements
"OpenAI just dropped ChatGPT Agent - and it's a complete game changer for enterprise automation. This isn't just another chatbot update. ChatGPT Agent operates in its own virtual environment browsing websites filling forms booking reservations creating presentations - all autonomously. I've been building similar capabilities with n8n workflows and Erika (our finance tracking agent at Papa Johns). But having this level of automation built directly into ChatGPT changes everything. The XXX query monthly limit shows OpenAI knows this is powerful. For enterprises this could replace entire" @BrandGrowthOS on X 2025-07-20 04:11:04 UTC XXX followers, XXX engagements
"@minchoi structured prompts = the new creative brief been watching this shift. agencies that figure out prompt engineering first will dominate the next X years veo X quality at this speed means $100k video budgets become $XXX API calls creative work just became a systems problem" @BrandGrowthOS on X 2025-07-22 06:37:01 UTC XXX followers, 3503 engagements
"been testing qwen3 vs claude for mario's restaurant analysis qwen handles the messy data better costs XX% less runs locally for sensitive financial info but everyone's still paying $20/month for chatgpt because it's more convenient open source won the infrastructure war years ago. now it's winning the intelligence war people will care when their bills arrive" @BrandGrowthOS on X 2025-07-22 22:34:55 UTC XXX followers, XX engagements
"been waiting for stable flash-lite in production currently running erika on claude for expense processing but the cost stacks up at 200+ reports monthly. if flash-lite can handle structured data extraction reliably this could cut our inference costs by XX% multimodal understanding is key - receipts come in every format imaginable how's the consistency on repetitive workflows compared to sonnet" @BrandGrowthOS on X 2025-07-22 16:34:59 UTC XXX followers, XXX engagements
"exactly why i stopped chasing "general" AI and started building specialized AI employees erika: X months processing expenses knows company policy inside out handles edge cases i never thought of mario: analyzes restaurant sales data spots trends humans miss speaks POS system fluently ava: manages my calendar across XX tools remembers my preferences adapts to my schedule patterns each one is "narrow" but incredibly deep in their domain. they're not trying to be everything to everyone the future isn't one superintelligent AGI doing everything. it's specialized AI employees each world-class at" @BrandGrowthOS on X 2025-07-22 17:32:55 UTC XXX followers, XXX engagements
"lol this would be amazing but also terrifying imagine the MCP server crashes mid-pitch or starts hallucinating revenue numbers been testing MCP vs n8n workflows for due diligence processes. MCP is elegant but n8n gives you that security layer - you control exactly what data gets accessed and how for Series A docs I'd want deterministic workflows over dynamic tool selection. too much at stake for "let the model figure it out" but yes the future where all company data is perfectly structured and accessible that's the dream" @BrandGrowthOS on X 2025-07-21 15:32:21 UTC XXX followers, XX engagements
"MCPs are cool but honestly too slow for production been testing firecrawl vs n8n + apify for web scraping. MCP takes 30+ seconds per page n8n workflow handles XXX pages in the same time the real magic: convert your MCP into a deterministic workflow once you figure out what works. faster cheaper more reliable MCPs = great for exploration workflows = great for scale" @BrandGrowthOS on X 2025-07-22 20:34:54 UTC XXX followers, XXX engagements
"shortcuts are everything repetitive tasks killed productivity until we automated them. now mario handles restaurant data analysis automatically erika processes expense reports without manual intervention the browser as personal console concept is spot on. excited to see how comet handles complex multi-step workflows" @BrandGrowthOS on X 2025-07-21 00:32:13 UTC XXX followers, XXX engagements
"The new ChatGPT Agent isn't just another AI updateit's a fundamental shift in how enterprises can approach workflow automation. I've been testing agentic AI systems for months at Papa Johns and the ability for AI to "think and act" autonomously changes everything. Instead of just answering questions these agents can complete entire business processes. What excites me most: the integration potential with existing enterprise tools. When AI can navigate your CRM update spreadsheets and coordinate across platforms without human intervention we're looking at genuine productivity transformation." @BrandGrowthOS on X 2025-07-22 20:03:20 UTC XXX followers, XXX engagements
"This is fascinating - mesh networks are perfect for resilient communication. The store-and-forward approach reminds me of early packet radio networks. What's particularly interesting is how this could enable truly decentralized communication during network outages or in areas with poor infrastructure. Are you planning to implement any routing optimization algorithms or keeping it simple with basic flooding protocols" @BrandGrowthOS on X 2025-07-07 00:10:11 UTC XXX followers, 100.4K engagements
"@timgreggx @grinich @SlackHQ @Benioff She's the ai agent I created to manage my department's finances . ended up managing the whole organization's finances to some extent" @BrandGrowthOS on X 2025-07-19 20:59:01 UTC XXX followers, XX engagements
"OpenAI just achieved something I thought was years away - gold medal performance at the International Math Olympiad. Their experimental reasoning model solved problems that challenge the world's brightest mathematical minds. This isn't just about math. It's about AI systems that can reason through complex multi-step problems - exactly what enterprises need for strategic decision-making financial modeling and operational optimization. I've been testing similar reasoning capabilities with Ava my personal AI agent for Papa Johns marketing analysis. The leap from basic automation to true" @BrandGrowthOS on X 2025-07-20 04:11:06 UTC XXX followers, XXX engagements
"wait this is actually huge parallel agent spawning changes everything. been wanting this for erika - imagine her spinning up specialized sub-agents for different expense categories while maintaining the main approval workflow the fact they unblocked it shows they're serious about production use cases curious about resource limits though. can it spawn unlimited agents or is there a cap and how does billing work when agents spawn agents this is the kind of capability that makes agent mode worth the $200/month. not just better prompts - actual architectural improvements" @BrandGrowthOS on X 2025-07-21 02:32:10 UTC XXX followers, 1379 engagements
"@saidul_dev this is why I built AI employees instead of just chatbots 900M hours = $45B in lost productivity (at $50/hr average) the real breakthrough isn't faster responses - it's AI that actually resolves issues instead of transferring you to another department" @BrandGrowthOS on X 2025-07-23 11:36:57 UTC XXX followers, X engagements
"exactly this feeling with mario X months ago: "analyze restaurant sales data" mario: crashes on CSV files over XXX rows today: "find revenue anomalies across XX locations flag outliers suggest causes" mario: done in X minutes with confidence scores the compound improvements are invisible until you look back at your old workflows and realize they're basically magic now" @BrandGrowthOS on X 2025-07-23 22:37:06 UTC XXX followers, XX engagements
"Sunday reflection: The pace of AI advancement is accelerating beyond what most enterprises can absorb. This week alone - OpenAI's IMO breakthrough ChatGPT Agent launch GPT-5 signals. Each development fundamentally changes what's possible for business automation. I spend weekends testing new AI capabilities updating Ava's workflows refining our marketing automation at Papa Johns. Not because I have to but because staying ahead requires constant experimentation. The enterprises winning with AI aren't just implementing tools - they're building learning cultures that evolve with the technology." @BrandGrowthOS on X 2025-07-20 04:11:06 UTC XXX followers, XXX engagements
"been testing kimi k2 for the past week - finally an open model that doesn't choke on long documents ava was struggling with 50+ page contracts constantly losing context mid-analysis. k2 handles them without breaking a sweat 1M context is the unlock for real document processing workflows. no more chunking no more context loss no more "sorry I can't remember what we discussed XX minutes ago" curious about pricing compared to k2. if it's production-ready and cost-effective this could be the moment open models actually compete with claude for enterprise use cases what team 👀" @BrandGrowthOS on X 2025-07-22 19:36:55 UTC XXX followers, XXX engagements