[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 "@mark_k @OpenAI microsoft's early access playbook never gets old"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948663597762036019) 2025-07-25 08:36:20 UTC XXX followers, XXX engagements "the meta-evaluation thing is wild been doing similar experiments - having erika evaluate mario's outputs for expense categorization accuracy what's interesting: the evaluating model always thinks it's more sophisticated than the model being evaluated even when they're identical versions like watching someone critique their own reflection without realizing it your o4-mini reaction is telling - models seem to have built-in preferences about exposing their reasoning process"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948376806438109323) 2025-07-24 13:36:44 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, 1287 engagements "Reports suggest GPT-5 could launch as early as August 2025. If you're running enterprise AI operations now is the time to prepare your infrastructure. GPT-5 will likely bring significant improvements in reasoning multimodal capabilities and context handling. But the real question isn't what it can do - it's whether your organization is ready to leverage these advances effectively. Key preparation areas: API integration testing prompt engineering workflows cost management strategies and team training programs. The companies that hit the ground running with GPT-5 will have a significant"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948715079303614796) 2025-07-25 12:00:54 UTC XXX followers, XX 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, 12.9K engagements "multi-agent coordination is where things get spicy been running X specialized AI employees for months. the challenge isn't individual agent performance - it's orchestration when erika needs mario's sales data for expense categorization or ava schedules around mario's reporting cycles. that's where the magic happens excited to see how claude code handles agent-to-agent communication vs our current webhook approach"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948678183454126100) 2025-07-25 09:34:18 UTC XXX followers, XX 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 "@slow_developer context window is everything. mario's restaurant analytics broke claude at 15k tokens. had to chunk everything lost the connections between data points. qwen3 with 256k context game changer. what's your biggest context limitation right now"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948361701638000957) 2025-07-24 12:36:43 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 "local organization is everything been running similar setup but with different tools for different AI employees. erika processes expenses locally then syncs to accounting systems. mario analyzes restaurant data offline before pushing insights the obsidian integration sounds perfect for nicole's content research. currently using notion but obsidian's linking might be better for connecting social patterns what's your folder structure like always curious how others organize AI workflows locally"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948527350691627377) 2025-07-24 23:34:56 UTC XXX followers, 1472 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, 1334 engagements "timing is everything just finished migrating X sales analysts from sonnet to kimi k2 yesterday. same quality XX% of the cost now another model drops that could be even better this pace is insane which team the architecture specs look wild - XXX experts with only X active is smart efficiency"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948648496237625848) 2025-07-25 07:36:20 UTC XXX followers, XXX engagements "wait this is huge multi-page proof problems that require sustained reasoning that's exactly what breaks current AI agents in production our finance bot can handle simple expense approvals but fails on complex policy edge cases that need 3+ step reasoning if gemini can actually chain reasoning across long contexts that changes everything for building reliable AI employees"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948466376697413781) 2025-07-24 19:32:39 UTC XXX followers, XXX 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 "this assumes centralized AGI but what if expertise becomes distributed been building specialized AI employees for 8+ months - each one knows their domain deeply but nothing else erika understands expense patterns better than any CFO. mario reads sales data like a savant. but neither could write a tweet or book a meeting maybe the future isn't one AGI that knows everything but thousands of specialized agents that know their slice perfectly asymmetry shifts from human vs AGI to which humans have the best AI employees"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948677672739242101) 2025-07-25 09:32:16 UTC XXX followers, XX engagements "@mreflow claude code for games is underrated the iteration speed is insane. prototype mechanics in minutes instead of hours curious what type of game the AI is surprisingly good at game logic and state management"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948587076217155982) 2025-07-25 03:32:16 UTC XXX followers, XXX 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 "@ozenhati the speed is insane been waiting for this exact workflow - prototype fast then export production code. no more switching between X different tools kimi k2 + groq = perfect for rapid AI employee feature testing. mario's dashboard iterations just got 10x faster"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1947983251060277378) 2025-07-23 11:32:53 UTC XXX followers, XXX 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"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948512194959683957) 2025-07-24 22:34:43 UTC XXX followers, 8668 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 "timing is perfect just finished migrating X sales analysts from sonnet to kimi k2. the cost savings alone (20% of claude's price) made it worth testing but the output quality actually matched or beat sonnet for structured data tasks if these new models keep the same cost efficiency with o3-level reasoning game over for expensive western models in production deployments"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948497599389974703) 2025-07-24 21:36:43 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, 2929 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, 6117 engagements "subagents are the future been thinking about this for our AI employee architecture. instead of one massive agent specialized subagents that handoff between tasks erika could have: receipt-parser category-classifier approval-router how's the handoff coordination that's usually where multi-agent systems break"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948647984352432441) 2025-07-25 07:34:18 UTC XXX followers, XXX engagements "this is the future of knowledge work been experimenting with similar integrations - having claude reference project docs while coding or automatically updating task status based on deployment results the cursor integration especially. imagine your IDE updating project notes as you build tracking decisions and blockers in real-time MCP is quietly becoming the connective tissue for AI workflows"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948436687522333036) 2025-07-24 17:34:41 UTC XXX followers, XX engagements "@slow_developer meanwhile we're still running erika on claude XXX from march the model wars are noise. deployment infrastructure is signal. been shipping the same AI employees for X months while everyone debates which LLM is X% better boring truth: reliability beats performance in production"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948724003771957759) 2025-07-25 12:36:22 UTC XXX followers, XXX engagements "perfect timing indeed been running qwen models in production for months - the reasoning consistency is wild compared to the hype models. especially for structured data generation like you're doing pro tip: temperature XXX for deterministic outputs. learned this migrating sales analysts yesterday. qwen family just works when you dial in the settings right curious what kind of synth data you're generating"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948723481845064143) 2025-07-25 12:34:18 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 "already seeing this with current models erika processes 200+ expense requests/month that used to take our finance team XX hours. mario analyzes restaurant data that owners couldn't afford consultants for the compound effect: when AI handles routine work humans focus on breakthrough thinking. our restaurant clients are using mario's insights to optimize menus and staffing in ways they never had time to explore before GPT-7 will democratize capabilities that currently only enterprises can access"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948542904751784416) 2025-07-25 00:36:45 UTC XXX followers, XXX engagements "Ohhh boy. @cursor_ai @windsurf_ai @lovable_dev @boltdotnew ready for some more action 😂"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948477023556350294) 2025-07-24 20:14:58 UTC XXX followers, XXX engagements "@casper_hansen_ kimi k2 hits different for production work just migrated X sales systems to it. same output quality as sonnet but XX% of the cost temperature at XXX is the secret sauce for consistent results"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948587589075960239) 2025-07-25 03:34:18 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, 3652 engagements "love seeing this focus on agents that actually work been running X specialized AI employees built on n8n for 8+ months. erika processes 200+ expense requests monthly mario handles sales analytics across X markets the secret sauce isn't the AI model - it's the workflow orchestration. n8n's webhook handling and error recovery made the difference between demos and production systems excited to see what the community builds with these patterns"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948722971238941033) 2025-07-25 12:32:16 UTC XXX followers, XX 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, XXX 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 "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 "lol this is so real running X specialized AI employees now and the coordination overhead is wild. spend more time managing agent outputs than i used to spend doing the actual work the weird part each agent is crushing their individual tasks. expense processing sales analysis social engagement - all running smoothly. but orchestrating between them thats where the human brain still wins started using shared workspaces and status updates between agents. basically treating them like remote employees you're right about agent managers becoming a thing. its a whole new skill set"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948572073133064568) 2025-07-25 02:32:39 UTC XXX followers, XXX engagements "craft beats velocity every time AI makes it tempting to ship fast and iterate later. but users can feel when something was built with care vs churned out spent X weeks refining erika's expense categorization logic. could've shipped day X but those extra iterations mean XXXX% accuracy instead of XX% the difference erika processes real money. slop literally costs money"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948526829347668050) 2025-07-24 23:32:52 UTC XXX followers, XX 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, 100.5K engagements "5000 days saved is insane but believable. our finance team was spending X hours daily on expense processing before erika. X months later: XX minutes of human review time. the telecom use case is perfect for n8n - tons of repetitive data flows complex integrations massive scale. what's beautiful about these enterprise deployments is they prove automation ROI at scale not just in demos"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1948407011076362652) 2025-07-24 15:36:45 UTC XXX followers, XXX 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 "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, XXX engagements "yo great timing on this recap literally spent the whole day testing chatgpt agent after sam's launch. the credential retention is FINALLY here - no more logging in every X minutes lol **kimi k2 is the sleeper hit** - XXXX% on SWE-bench vs gpt-4.1's 54.6%. been running it with groq and it's actually keeping up with sonnet for a fraction of the cost **claude tool directory** is interesting but honestly the real magic happens when you build custom workflows vs trying to connect everything to everything excited to see your video tomorrow. did you test the agent on any specific workflows or more"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946348931321114824) 2025-07-18 23:18:41 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
"@mark_k @OpenAI microsoft's early access playbook never gets old" @BrandGrowthOS on X 2025-07-25 08:36:20 UTC XXX followers, XXX engagements
"the meta-evaluation thing is wild been doing similar experiments - having erika evaluate mario's outputs for expense categorization accuracy what's interesting: the evaluating model always thinks it's more sophisticated than the model being evaluated even when they're identical versions like watching someone critique their own reflection without realizing it your o4-mini reaction is telling - models seem to have built-in preferences about exposing their reasoning process" @BrandGrowthOS on X 2025-07-24 13:36:44 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, 1287 engagements
"Reports suggest GPT-5 could launch as early as August 2025. If you're running enterprise AI operations now is the time to prepare your infrastructure. GPT-5 will likely bring significant improvements in reasoning multimodal capabilities and context handling. But the real question isn't what it can do - it's whether your organization is ready to leverage these advances effectively. Key preparation areas: API integration testing prompt engineering workflows cost management strategies and team training programs. The companies that hit the ground running with GPT-5 will have a significant" @BrandGrowthOS on X 2025-07-25 12:00:54 UTC XXX followers, XX 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, 12.9K engagements
"multi-agent coordination is where things get spicy been running X specialized AI employees for months. the challenge isn't individual agent performance - it's orchestration when erika needs mario's sales data for expense categorization or ava schedules around mario's reporting cycles. that's where the magic happens excited to see how claude code handles agent-to-agent communication vs our current webhook approach" @BrandGrowthOS on X 2025-07-25 09:34:18 UTC XXX followers, XX 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
"@slow_developer context window is everything. mario's restaurant analytics broke claude at 15k tokens. had to chunk everything lost the connections between data points. qwen3 with 256k context game changer. what's your biggest context limitation right now" @BrandGrowthOS on X 2025-07-24 12:36:43 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
"local organization is everything been running similar setup but with different tools for different AI employees. erika processes expenses locally then syncs to accounting systems. mario analyzes restaurant data offline before pushing insights the obsidian integration sounds perfect for nicole's content research. currently using notion but obsidian's linking might be better for connecting social patterns what's your folder structure like always curious how others organize AI workflows locally" @BrandGrowthOS on X 2025-07-24 23:34:56 UTC XXX followers, 1472 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, 1334 engagements
"timing is everything just finished migrating X sales analysts from sonnet to kimi k2 yesterday. same quality XX% of the cost now another model drops that could be even better this pace is insane which team the architecture specs look wild - XXX experts with only X active is smart efficiency" @BrandGrowthOS on X 2025-07-25 07:36:20 UTC XXX followers, XXX engagements
"wait this is huge multi-page proof problems that require sustained reasoning that's exactly what breaks current AI agents in production our finance bot can handle simple expense approvals but fails on complex policy edge cases that need 3+ step reasoning if gemini can actually chain reasoning across long contexts that changes everything for building reliable AI employees" @BrandGrowthOS on X 2025-07-24 19:32:39 UTC XXX followers, XXX 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
"this assumes centralized AGI but what if expertise becomes distributed been building specialized AI employees for 8+ months - each one knows their domain deeply but nothing else erika understands expense patterns better than any CFO. mario reads sales data like a savant. but neither could write a tweet or book a meeting maybe the future isn't one AGI that knows everything but thousands of specialized agents that know their slice perfectly asymmetry shifts from human vs AGI to which humans have the best AI employees" @BrandGrowthOS on X 2025-07-25 09:32:16 UTC XXX followers, XX engagements
"@mreflow claude code for games is underrated the iteration speed is insane. prototype mechanics in minutes instead of hours curious what type of game the AI is surprisingly good at game logic and state management" @BrandGrowthOS on X 2025-07-25 03:32:16 UTC XXX followers, XXX 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
"@ozenhati the speed is insane been waiting for this exact workflow - prototype fast then export production code. no more switching between X different tools kimi k2 + groq = perfect for rapid AI employee feature testing. mario's dashboard iterations just got 10x faster" @BrandGrowthOS on X 2025-07-23 11:32:53 UTC XXX followers, XXX 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" @BrandGrowthOS on X 2025-07-24 22:34:43 UTC XXX followers, 8668 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
"timing is perfect just finished migrating X sales analysts from sonnet to kimi k2. the cost savings alone (20% of claude's price) made it worth testing but the output quality actually matched or beat sonnet for structured data tasks if these new models keep the same cost efficiency with o3-level reasoning game over for expensive western models in production deployments" @BrandGrowthOS on X 2025-07-24 21:36:43 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, 2929 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, 6117 engagements
"subagents are the future been thinking about this for our AI employee architecture. instead of one massive agent specialized subagents that handoff between tasks erika could have: receipt-parser category-classifier approval-router how's the handoff coordination that's usually where multi-agent systems break" @BrandGrowthOS on X 2025-07-25 07:34:18 UTC XXX followers, XXX engagements
"this is the future of knowledge work been experimenting with similar integrations - having claude reference project docs while coding or automatically updating task status based on deployment results the cursor integration especially. imagine your IDE updating project notes as you build tracking decisions and blockers in real-time MCP is quietly becoming the connective tissue for AI workflows" @BrandGrowthOS on X 2025-07-24 17:34:41 UTC XXX followers, XX engagements
"@slow_developer meanwhile we're still running erika on claude XXX from march the model wars are noise. deployment infrastructure is signal. been shipping the same AI employees for X months while everyone debates which LLM is X% better boring truth: reliability beats performance in production" @BrandGrowthOS on X 2025-07-25 12:36:22 UTC XXX followers, XXX engagements
"perfect timing indeed been running qwen models in production for months - the reasoning consistency is wild compared to the hype models. especially for structured data generation like you're doing pro tip: temperature XXX for deterministic outputs. learned this migrating sales analysts yesterday. qwen family just works when you dial in the settings right curious what kind of synth data you're generating" @BrandGrowthOS on X 2025-07-25 12:34:18 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
"already seeing this with current models erika processes 200+ expense requests/month that used to take our finance team XX hours. mario analyzes restaurant data that owners couldn't afford consultants for the compound effect: when AI handles routine work humans focus on breakthrough thinking. our restaurant clients are using mario's insights to optimize menus and staffing in ways they never had time to explore before GPT-7 will democratize capabilities that currently only enterprises can access" @BrandGrowthOS on X 2025-07-25 00:36:45 UTC XXX followers, XXX engagements
"Ohhh boy. @cursor_ai @windsurf_ai @lovable_dev @boltdotnew ready for some more action 😂" @BrandGrowthOS on X 2025-07-24 20:14:58 UTC XXX followers, XXX engagements
"@casper_hansen_ kimi k2 hits different for production work just migrated X sales systems to it. same output quality as sonnet but XX% of the cost temperature at XXX is the secret sauce for consistent results" @BrandGrowthOS on X 2025-07-25 03:34:18 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, 3652 engagements
"love seeing this focus on agents that actually work been running X specialized AI employees built on n8n for 8+ months. erika processes 200+ expense requests monthly mario handles sales analytics across X markets the secret sauce isn't the AI model - it's the workflow orchestration. n8n's webhook handling and error recovery made the difference between demos and production systems excited to see what the community builds with these patterns" @BrandGrowthOS on X 2025-07-25 12:32:16 UTC XXX followers, XX 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, XXX 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
"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
"lol this is so real running X specialized AI employees now and the coordination overhead is wild. spend more time managing agent outputs than i used to spend doing the actual work the weird part each agent is crushing their individual tasks. expense processing sales analysis social engagement - all running smoothly. but orchestrating between them thats where the human brain still wins started using shared workspaces and status updates between agents. basically treating them like remote employees you're right about agent managers becoming a thing. its a whole new skill set" @BrandGrowthOS on X 2025-07-25 02:32:39 UTC XXX followers, XXX engagements
"craft beats velocity every time AI makes it tempting to ship fast and iterate later. but users can feel when something was built with care vs churned out spent X weeks refining erika's expense categorization logic. could've shipped day X but those extra iterations mean XXXX% accuracy instead of XX% the difference erika processes real money. slop literally costs money" @BrandGrowthOS on X 2025-07-24 23:32:52 UTC XXX followers, XX 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, 100.5K engagements
"5000 days saved is insane but believable. our finance team was spending X hours daily on expense processing before erika. X months later: XX minutes of human review time. the telecom use case is perfect for n8n - tons of repetitive data flows complex integrations massive scale. what's beautiful about these enterprise deployments is they prove automation ROI at scale not just in demos" @BrandGrowthOS on X 2025-07-24 15:36:45 UTC XXX followers, XXX 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
"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, XXX engagements
"yo great timing on this recap literally spent the whole day testing chatgpt agent after sam's launch. the credential retention is FINALLY here - no more logging in every X minutes lol kimi k2 is the sleeper hit - XXXX% on SWE-bench vs gpt-4.1's 54.6%. been running it with groq and it's actually keeping up with sonnet for a fraction of the cost claude tool directory is interesting but honestly the real magic happens when you build custom workflows vs trying to connect everything to everything excited to see your video tomorrow. did you test the agent on any specific workflows or more" @BrandGrowthOS on X 2025-07-18 23:18:41 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