OpenClaw/Clawdbot Masterclass
...build AI employees working 24x7 for you
InsForge: The first backend built for AI coding agents, not human dashboards
InsForge: The first backend built for AI coding agents, not human dashboards
InsForge solves the most frustrating bottleneck in AI-assisted development: backend configuration.
Every developer using AI coding agents has hit this wall. The agent builds a beautiful frontend in minutes, sets up API routes, and lays out the component architecture. But the moment it needs to enable auth or configure a database, it completely falls apart.
The reason is that every backend platform today (Firebase, Supabase, AWS) was designed for humans clicking through dashboards. When agents try to interact with these platforms through MCP servers, they get fragmented context like table names without schema details or auth endpoints without security configs. So agents end up guessing, hallucinating, and generating broken code.
InsForge fixes this at the infrastructure level rather than the tooling level. It introduces a semantic layer where every backend primitive (auth, database, storage, AI features) is exposed as structured, machine-readable capabilities with metadata, constraints, and documentation baked in.
Primitives are also aware of each other, so auth knows about database permissions and storage understands access policies.
Because agents get complete, structured context instead of inferring what’s missing, InsForge delivers:
Roughly 2x more accuracy than Supabase MCP
1.6x faster task completion
30% better token efficiency
To test this out, we built a full ChatGPT clone with auth, database, storage, and AI integration, built entirely with Claude Code using InsForge as the backend. No manual configuration was needed, not because of any magic, but because the agent could reason about the entire backend as one coherent system.
InsForge works with any AI coding agent, including Cursor, Claude Code, Windsurf, and Codex. You can use all the primitives together or just pick what you need, like database only or auth only.
It’s fully open-source under Apache 2.0.
And don’t forget to start it.
OpenClaw/Clawdbot Masterclass
OpenClaw has taken the AI world by storm and has quickly become one of the fastest-growing open source projects today.
But most people still don’t know how to actually get started with it.
This video is a complete blueprint to get up and running with Clawdbot. And not just one, but multiple AI employees working 24x7 for you.
In this masterclass, you’ll see three AI employees in action: an AI engineer that writes and reviews code, a deep researcher that digs through the internet and compiles reports, and a graphic designer that creates visuals on demand. All built using Clawdbot.
Here’s what’s covered:
How the whole thing works under the hood
Installation and setup
Hooking Clawdbot to Telegram
Understanding the project structure
Adding custom skills (from a repo of 42k skills)
Automating your bots with Cron jobs
Scaling from 1 to 10 Clawdbots
Cron jobs vs. Heartbeats: what’s the difference?
By the way, if you’re looking for a model to power your Clawdbots, MiniMax is worth checking out. It’s actually recommended by the creator of Clawdbot himself as a highly capable agentic model, while being significantly cheaper than models like Claude Opus 4.5.
You can get started with their coding plan here→
Thanks for reading!