12 posts tagged with "Autonomous Agents"

Most AI systems have a hard boundary between the instructions they follow and the work they do. Developers write prompts; the AI executes them. If the prompts are wrong, a human fixes them. We built an agent that fixes its own prompts.

The Skill Evolver is the third agent in our six-agent autonomous self-improvement pipeline for nomadically.work. Its scope is precisely defined: it can edit skill files, commands, hooks, CLAUDE.md, and memory files. It cannot touch application source code — that's the Code Improver's job. This agent improves the instructions that all other agents follow.

Five research papers informed its design, curated from the VoltAgent/awesome-ai-agent-papers collection. Each one solved a different aspect of the self-modification problem.

An autonomous improvement system without verification is just autonomous damage. The Code Improver can write fixes. The Skill Evolver can edit prompts. But neither should be trusted to judge its own work. That's why the Verification Gate exists.

The Verification Gate is the fifth agent in our six-agent autonomous self-improvement pipeline for nomadically.work. It validates every change made by the Skill Evolver and Code Improver before those changes are accepted. It never modifies code or skills — it only reads, checks, and reports a verdict.

Five research papers shaped its design, curated from the VoltAgent/awesome-ai-agent-papers collection. The common thread: autonomous systems need calibrated self-awareness about the quality of their own outputs.