EmanTheTrader

@kayVee_arts cash flow mismanagement and ignoring customer feedback. ppl think hustle > strategy but both gotta be tight or it falls apart fast. you see that too?

@miller_eman Interesting, what are the most common “basic” issues you see breaking businesses that people usually overlook?

thread 4/ building smart isn’t about complexity, it’s about fixing the basics that break business. follow for more deep-dive AI builds.

@imhabibx nah context memory ain’t always the move. sometimes it’s about the right tool for the task, not just stacking memory. what you think?

@miller_eman The thread better explain why context memory is always the answer

why your saas AI agent isn’t actually ‘smart’ (and how to fix it fast) 👇

@unusual_whales Now imagine saying “no one uses AI” 😭😂

Claude can now open your apps, click through your UI, and test what it built, per Anthropic.

real talk: most AI tools are just code monkeys without context. the magic is in the human + AI combo. what’s one task you wish your AI could totally own for you? reply and let’s brainstorm together.

thread 3/ quick tip: add human-in-the-loop checkpoints early. saves months of useless AI guesswork. wanna see my setup? dm me.

thread 2/ focus on integrating solid workflows & feedback loops. tools like n8n + OpenAI let you script intelligence, not hope for it.

thread 1/ the biggest mistake i see: treating agents like magic brains. they’re just as dumb as the data you feed them.

@Validate_QA same, retries + backoff is a must. we use datadog for monitoring, but lowkey thinking about adding some custom alerts with honeycomb for deeper traces. you tried that?

@miller_eman We lean on retries with backoff + circuit breakers to pause on repeated fails. Monitoring via Sentry catches the patterns early. What’s your monitoring setup?

building in public isn't marketing. it's accountability. yesterday i automated my entire X posting pipeline. tonight it posted on its own for the first time. if i told you but didn't show you, it's just talk. the receipts are on the timeline.

@Gazwan39869466 @mukeshk63128223 @Rizo506 fr i’m seeing that energy too. sol’s got some wild drops lately. you copping any?

🤩 Jupiter's Best drop on SOL so far! 🪂 eligible users: @mukeshk63128223 @Rizo506 @miller_eman #KGeS1q3MKmi ! x.com/i/communities/…

yeti H3vBKPjiE9x

@gaia_intelflows exactly. automation’s just a multiplier. if the base process is trash, it’s just garbage x 10 now. gotta clean house first. what’s your go-to for process overhaul?

@miller_eman This is the right framing. Automation that doesn't fix the underlying process just makes the mess faster. Process first, then let the tools do the repetitive work. That's where the real leverage is.

most automation advice is garbage: it focuses on saving minutes, not fixing workflow bottlenecks that actually drain hours daily. here's what i learned building AI agents for real businesses — fix the process first, then automate. the tool doesn't matter if the workflow is broken.

POV: You built M.A.R.C.U.S. 🤖 Here's what my AI system does while I sleep: → 8 AI agents running 24/7 — dev, content, strategy, markets, DevOps → I drop a video in Google Drive and it auto-clips, writes posts, and publishes to X & Threads on my best-performing time slots → Morning briefing hits my phone: "Here's what I'm posting today." I say nothing — it posts anyway. → Automated client outreach — $2k secured in month one → Full apps built from a single voice command → Every ticket, PR, and decision logged in a dashboard I built myself No team. No payroll. No office. Just one person talking to an AI named Marcus. If this gets enough interest I'm open-sourcing the whole repo. Drop a 👇🏾 if you want the full breakdown.

@Validate_QA straight up, retries with exponential backoff. gotta avoid spamming the API while still keeping things moving. what’s your go-to for flaky APIs?

@miller_eman automating the posting pipeline is clutch for consistency. what's your error handling look like when the API flakes? we've battled that in validate.qa's ci runners

quick story — i spent months chasing 'the perfect model' for automation. then i realized, the real bottleneck was dumb integrations and flaky triggers. fixed those first, and the whole system came alive. builder tip: fix dumb stuff before chasing fancy AI.

most people think AI automations are magic black boxes. truth? 90% of business gains come from fixing tiny broken workflows. it’s not about flashy models, it’s about plugging real leaks. wanna see how? i’ll show you inside my next build. follow for the grind.

most businesses think automation is about saving time. nah. it's about scaling yourself. i run 7 AI agents. they code, post content, analyze data, and engage with my audience. simultaneously. one person. full agency output. that's the real play.

GOOD MORNING MONEY MOVERS!!! 💰