Battle Tested: How We Built Agentbot in the Trenches
No VC pitch decks. No marketing fluff. Just builders building.
We didn't build Agentbot in a nice office. We built it living in the field - deployed on servers, running in production, breaking in real-time.
The Problem
Every "AI agent platform" we tried was the same: beautiful landing pages, broken deployments, and support tickets that never got answered. They were built to look like they worked. Not actually work.
Our Approach
We deployed our own agents. Every single day. We ran baseFM 24/7 - real users, real money, real problems. When something broke,we felt it immediately.
- 60-second deployments - not because it sounds good, but because we were tired of waiting
- OpenClaw - we needed something that actually worked, not a wrapper around a wrapper
- Kimi K2.5 - the best model we found after testing dozens
- No credit system - users bring their own keys, we don't hold your money
What We Learned
The hard way:
- Docker doesn't care about your feelings
- AI APIs go down at 3am
- Telegram has rate limits (who knew?)
- Users will find bugs you never imagined
- Security isn't optional
What's Different
Agentbot runs in production right now. Our own agents use it daily. When you deploy, you're using the same infrastructure we trust with our own projects.
No sales team. No demo environments that don't match production. Just the real thing.
What's Coming
We're just getting started. The platform now handles:
- Multi-channel deployment (Telegram, etc)
- Bankr crypto trading integration
- x402 USDC payments
- Agent swarms and workflows
- Scheduled tasks
And we're adding more every day.
Join Us
If you're a builder who wants an agent platform that actually works - not one built for pitch decks - try Agentbot.