[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 Karim Chaanine Karim Chaanine posts on X about specialized, automation, finance, open ai the most. They currently have XXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::1807415733069950977/interactions)  - X Week XXXXXX -XX% - X Month XXXXXXX +191,894% - X Months XXXXXXX +759% - X Year XXXXXXX +64,994% ### Mentions: XX [#](/creator/twitter::1807415733069950977/posts_active)  ### Followers: XXX [#](/creator/twitter::1807415733069950977/followers)  - X Week XXX +49% - X Month XXX +188% - X Months XXX +241% ### CreatorRank: XXXXXXX [#](/creator/twitter::1807415733069950977/influencer_rank)  ### Social Influence [#](/creator/twitter::1807415733069950977/influence) --- **Social category influence** [technology brands](/list/technology-brands) [stocks](/list/stocks) [cryptocurrencies](/list/cryptocurrencies) [social networks](/list/social-networks) **Social topic influence** [specialized](/topic/specialized) #64, [automation](/topic/automation), [finance](/topic/finance) #775, [open ai](/topic/open-ai) #1491, [claude](/topic/claude) #171, [adoption](/topic/adoption), [papa](/topic/papa), [signals](/topic/signals), [papa johns](/topic/papa-johns), [$200mo](/topic/$200mo) ### Top Social Posts [#](/creator/twitter::1807415733069950977/posts) --- Top posts by engagements in the last XX hours "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, XX 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, 3734 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, 1889 engagements "This is exactly what the enterprise AI space needs. The gap between AI potential and practical implementation is massive - most companies struggle with strategy before they even get to technology. The Bain partnership is brilliant. Enterprise AI transformation isn't just about tools it's about organizational change process redesign and cultural adoption. Having strategic consulting expertise alongside technical AI knowledge creates the perfect bridge. I've seen too many AI initiatives fail because they focused on the "what" without addressing the "how" and "why" of transformation. AI Aspire's"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946423334436225318) 2025-07-19 04:14:20 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, 99.9K engagements "this is exactly where ai employees are headed 🤯 been building specialized agents (mario for sales erika for finance) but they're still single-purpose. comet's multi-app orchestration is the next evolution the scary part: when agentic browsers can navigate any interface suddenly every workflow becomes automatable. no more custom integrations just natural language action honestly this makes me rethink how we build ai employees. why train on specific apis when agents can just. use the same interfaces humans do game changer for adoption"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1945553144039313575) 2025-07-16 18:36:30 UTC XXX followers, 2298 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 "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 "The real power isn't in individual AI agents - it's in orchestrating them together. I'm building an ecosystem where different agents handle specialized tasks. My current setup: ChatGPT Agent for research and analysis Ava for content creation and data visualization n8n for workflow automation and integration Custom agents for Papa Johns specific processes Each agent excels at different tasks but the magic happens when they work together. Research flows into content creation which triggers automated distribution which feeds back into performance analysis. This isn't just about efficiency - it's"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946475476895027256) 2025-07-19 07:41:32 UTC XXX followers, XX 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, 3698 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 "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, 6066 engagements "Grok X benchmarks are wild 🤯 XXXX% on Humanity's Last Exam (vs Gemini XXX Pro at 26.9%) XXXX% on ARC-AGI-2 (2x better than next commercial model) XX% on AIME 2025 The multi-agent "study group" approach is fascinating - multiple agents collaborate to find optimal answers. At $300/month they're clearly targeting enterprise users who need serious reasoning power. This could reshape AI workflows for marketing teams. Thoughts #AI #Grok4"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1943210279849845140) 2025-07-10 07:26:48 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, 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, 2522 engagements "watched sam's demo earlier and this is wild **benchmark gaming vs real world** tho - chatgpt agent crushing arg agi challenges but can it handle my quarterly expense reports without hallucinating vendor names 🤔 **been testing it** since the launch today and the credential retention is the actual breakthrough. not the agi flexing but staying logged in across sessions **erika processes 200+ expenses/month** but still needs human validation for edge cases. these challenges are clean problems with clear success metrics **production reality check:** - arg agi: defined problem clear success state"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946413278025928722) 2025-07-19 03:34:22 UTC XXX followers, XXX 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, 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, XXX 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 "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 "okay but let's see the actual comparison metrics 👀 been testing chatgpt agent vs competitors all day. "fraction of the cost" means what exactly and what's the latency difference the real test isn't one prompt - it's handling 200+ requests monthly like erika does. edge cases error handling context retention across sessions genuinely curious about your pricing model vs openai's $200/month pro tier. if you're actually faster + cheaper + better quality that's huge for production deployments got a demo environment i can test with actual workflows"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1945927485624840415) 2025-07-17 19:24:00 UTC XXX followers, XXX 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, XXX 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/1945840144352969192) 2025-07-17 13:36:57 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, XX 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, XX engagements "so where do specialized ai employees fit into this new os perplexity handles search. erika handles expense workflows. mario processes restaurant data. maybe the future isnt one ai for everything but a network of specialized agents that know when to hand off to each other the browser had apps. this ai os needs ai employees"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946760066725769700) 2025-07-20 02:32:23 UTC XXX followers, 1091 engagements "This is the moment enterprise AI has been waiting for. I've been building agentic workflows for months but the integration of Operator's browser automation with ChatGPT's reasoning changes everything. The real game-changer isn't just the technologyit's that it connects to existing tools. No more isolated AI experiments. This actually fits into how teams already work. For marketing operations especially the ability to autonomously handle data analysis report generation and workflow orchestration could compress entire processes that currently take hours into minutes. We're crossing the"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946061339991924766) 2025-07-18 04:15:54 UTC XXX followers, XXX 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 "@MoonshotAi @n8n 4/5 Seeing agents schedule tasks or send reminders highlights Kimi K2's tool-calling. Chaining actions (get tasks - read calendar - create events) is at the heart of effective agent workflows"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1946286283543716215) 2025-07-18 19:09:44 UTC XXX followers, XX 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, XXX engagements "250 requests/month is interesting for individual use but for ai employees that's like X requests per day max 😅 erika processes 200+ expense reports monthly. mario handles 50+ sales analyses. that quota would be gone in X days this is why we've been testing alternatives like k2. enterprise ai needs aren't the same as coding assistance. different usage patterns different economics curious what the full pricing will be post-discount"  [@BrandGrowthOS](/creator/x/BrandGrowthOS) on [X](/post/tweet/1945643321436553530) 2025-07-17 00:34:50 UTC XXX followers, 3901 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 "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, 2900 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, XX 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
[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 Karim Chaanine
Karim Chaanine posts on X about specialized, automation, finance, open ai the most. They currently have XXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Week XXXXXX -XX%
- X Month XXXXXXX +191,894%
- X Months XXXXXXX +759%
- X Year XXXXXXX +64,994%
Mentions: XX #
Followers: XXX #
- X Week XXX +49%
- X Month XXX +188%
- X Months XXX +241%
CreatorRank: XXXXXXX #
Social Influence #
Social category influence technology brands stocks cryptocurrencies social networks
Social topic influence specialized #64, automation, finance #775, open ai #1491, claude #171, adoption, papa, signals, papa johns, $200mo
Top Social Posts #
Top posts by engagements in the last XX hours
"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, XX 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, 3734 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, 1889 engagements
"This is exactly what the enterprise AI space needs. The gap between AI potential and practical implementation is massive - most companies struggle with strategy before they even get to technology. The Bain partnership is brilliant. Enterprise AI transformation isn't just about tools it's about organizational change process redesign and cultural adoption. Having strategic consulting expertise alongside technical AI knowledge creates the perfect bridge. I've seen too many AI initiatives fail because they focused on the "what" without addressing the "how" and "why" of transformation. AI Aspire's" @BrandGrowthOS on X 2025-07-19 04:14:20 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, 99.9K engagements
"this is exactly where ai employees are headed 🤯 been building specialized agents (mario for sales erika for finance) but they're still single-purpose. comet's multi-app orchestration is the next evolution the scary part: when agentic browsers can navigate any interface suddenly every workflow becomes automatable. no more custom integrations just natural language action honestly this makes me rethink how we build ai employees. why train on specific apis when agents can just. use the same interfaces humans do game changer for adoption" @BrandGrowthOS on X 2025-07-16 18:36:30 UTC XXX followers, 2298 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
"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
"The real power isn't in individual AI agents - it's in orchestrating them together. I'm building an ecosystem where different agents handle specialized tasks. My current setup: ChatGPT Agent for research and analysis Ava for content creation and data visualization n8n for workflow automation and integration Custom agents for Papa Johns specific processes Each agent excels at different tasks but the magic happens when they work together. Research flows into content creation which triggers automated distribution which feeds back into performance analysis. This isn't just about efficiency - it's" @BrandGrowthOS on X 2025-07-19 07:41:32 UTC XXX followers, XX 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, 3698 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
"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, 6066 engagements
"Grok X benchmarks are wild 🤯 XXXX% on Humanity's Last Exam (vs Gemini XXX Pro at 26.9%) XXXX% on ARC-AGI-2 (2x better than next commercial model) XX% on AIME 2025 The multi-agent "study group" approach is fascinating - multiple agents collaborate to find optimal answers. At $300/month they're clearly targeting enterprise users who need serious reasoning power. This could reshape AI workflows for marketing teams. Thoughts #AI #Grok4" @BrandGrowthOS on X 2025-07-10 07:26:48 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, 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, 2522 engagements
"watched sam's demo earlier and this is wild benchmark gaming vs real world tho - chatgpt agent crushing arg agi challenges but can it handle my quarterly expense reports without hallucinating vendor names 🤔 been testing it since the launch today and the credential retention is the actual breakthrough. not the agi flexing but staying logged in across sessions erika processes 200+ expenses/month but still needs human validation for edge cases. these challenges are clean problems with clear success metrics production reality check: - arg agi: defined problem clear success state" @BrandGrowthOS on X 2025-07-19 03:34:22 UTC XXX followers, XXX 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, 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, XXX 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
"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
"okay but let's see the actual comparison metrics 👀 been testing chatgpt agent vs competitors all day. "fraction of the cost" means what exactly and what's the latency difference the real test isn't one prompt - it's handling 200+ requests monthly like erika does. edge cases error handling context retention across sessions genuinely curious about your pricing model vs openai's $200/month pro tier. if you're actually faster + cheaper + better quality that's huge for production deployments got a demo environment i can test with actual workflows" @BrandGrowthOS on X 2025-07-17 19:24:00 UTC XXX followers, XXX 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, XXX 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 13:36:57 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, XX 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, XX engagements
"so where do specialized ai employees fit into this new os perplexity handles search. erika handles expense workflows. mario processes restaurant data. maybe the future isnt one ai for everything but a network of specialized agents that know when to hand off to each other the browser had apps. this ai os needs ai employees" @BrandGrowthOS on X 2025-07-20 02:32:23 UTC XXX followers, 1091 engagements
"This is the moment enterprise AI has been waiting for. I've been building agentic workflows for months but the integration of Operator's browser automation with ChatGPT's reasoning changes everything. The real game-changer isn't just the technologyit's that it connects to existing tools. No more isolated AI experiments. This actually fits into how teams already work. For marketing operations especially the ability to autonomously handle data analysis report generation and workflow orchestration could compress entire processes that currently take hours into minutes. We're crossing the" @BrandGrowthOS on X 2025-07-18 04:15:54 UTC XXX followers, XXX 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
"@MoonshotAi @n8n 4/5 Seeing agents schedule tasks or send reminders highlights Kimi K2's tool-calling. Chaining actions (get tasks - read calendar - create events) is at the heart of effective agent workflows" @BrandGrowthOS on X 2025-07-18 19:09:44 UTC XXX followers, XX 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, XXX engagements
"250 requests/month is interesting for individual use but for ai employees that's like X requests per day max 😅 erika processes 200+ expense reports monthly. mario handles 50+ sales analyses. that quota would be gone in X days this is why we've been testing alternatives like k2. enterprise ai needs aren't the same as coding assistance. different usage patterns different economics curious what the full pricing will be post-discount" @BrandGrowthOS on X 2025-07-17 00:34:50 UTC XXX followers, 3901 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
"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, 2900 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, XX 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