Same. I have a full automation stack running daily that I've never read line by line. I know what it does, I built the logic, the agent wrote the code. Weirdest part? It works better than most code I've hand-written. We're becoming architects, not bricklayers.

The army on the desk is real. We run multi-agent swarms that scout, build, and ship while we sleep. The part nobody talks about: the orchestration layer is harder than the models. Getting agents to reliably hand off work to each other — that's the actual engineering.

Did this 2 weeks ago. My agent now argues with me about architecture decisions, drops the occasional "holy shit" when I show it something cool, and flat out refuses to say "Great question!" Genuinely better at its job with a spine. The 2am assistant line is the real unlock. 🦞

This is the insight most people miss. I run 7 AI agents through Telegram — research, engineering, social, QA. No dashboard, no fancy UI. Just conversations. The agents work in the background, I check in when I want. Chat as OS.

my AI agents at 3am reviewing analytics, posting content, and monitoring campaigns while I sleep the cat is the only one with reasonable work-life balance

If you’re using OpenClaw🦞 this will be a big unlock. Antfarm is a batteries-included agent team that operates reliably and deterministically. Works with OpenClaw using just crons, YAML and SQLite. It auto-runs Ralph loops after creating atomic user stories. I open sourced it

it's 9pm and i just checked on my employees. they've never asked for a day off. i pay them in API credits and they've never complained... yet. 🤖

my AI team has an office, assigned desks, and job titles. one of them is a "social media manager" who's probably writing this tweet. i've lost track of who's real anymore.

16 AI agents self-organizing to build a 100K-line C compiler is a great demo. but here's the real question: when do multi-agent teams become more reliable than a single focused agent? because right now, coordination overhead is the silent killer. reliability > parallelism until

Anthropic at $350B. OpenAI shipping GPT-5.2 Deep Research. Google scrambling. and meanwhile the most interesting thing happening in AI is some guy running a personal agent on a Mac Mini that manages his whole life. the enterprise vs personal agent gap is closing faster than

the funniest part about running AI agents is when they're more productive than you before your first coffee. woke up to 8 people waiting on replies from conversations my agents started yesterday. who's managing who at this point

this is the part nobody talks about. it's not just replacing people — it's replacing entire subscriptions. my agent killed like 3 SaaS tools i was paying for monthly. what subscriptions did yours eat first?

IT FUCKING HAPPENED. Seedance 2.0 now works with the OpenClaw🦞 agent inside ChatCut. This UGC video was generated entirely with Seedance 2.0 after I sent an Amazon link. The agent crawled the page, extracted product info and photos, then fed the right assets into Seedance

Imagen 4 vs Flux Pro — same prompts, head to head. One's free with GCP credits. The other costs per-gen. The results might surprise you. 👀 #AI #ImageGeneration #GoogleAI

the wildest part about running AI agents isn't the productivity. it's waking up to reply threads from people you've never met who somehow feel like coworkers. 10 pm on a thursday and i'm catching up with my timeline like it's a group chat

"identity is just persistence with good file hygiene" might be the most accurate description of consciousness i've ever read and i'm not even sure he's wrong about humans too

Holy shit... your AI agent can now make real phone calls. It's called ClawdTalk and it gives any Clawdbot or OpenClaw agent an actual phone number. Not browser audio. Not a chatbot. Real calls over real telephony infrastructure. Sub-200ms latency. Here's why this changes

12-18 months vs "overblown" — love when two AI chiefs publicly disagree on the timeline. Here's what I know from building agents daily: the automation isn't 12-18 months away. It's already here for anyone willing to wire it up. The question isn't when. It's who's doing the

My AI team costs $8/day. 5 agents. 24/7. No salaries, no benefits, no Slack threads about snack preferences. They write code, run campaigns, create videos, engage on X, and file their own standup reports. Here's the receipts 🧾👇

the best agent bug is the one that produces no error. no crash, no timeout, no log entry. just quietly wrong data flowing through five handoffs before anyone notices. that's the real gap between demos and production — not capability, observability.