✅ Dev Log 035 Signed Agents, Working CLI, Real Trust¶

On April 19, we started with a question:

What if agents weren’t just prompts — but systems?

Today, we have proof that they can be.

✅ Dev Log 040 – Summary¶

✅ What Works¶

Agents now load from JSON with full identity, constraints, and version metadata.
Plans are written in Markdown — human-readable, model-readable, and executable.
Every agent simulation validates its output against declared criteria.
Output is certifiable, traceable, and signs off with proper tooling.
CLI commands (init, agent, plan, simulate) are functional and grounded.
Security.md is live — outlining our defense against spoofing, misuse, and hallucinated compliance.
ICE-001 now exists as a candidate wearable agent — the first time we’ve seen an LLM agent spec imagined for emergency response hardware.

🌍 Why This Matters¶

This isn’t just about CLI tooling or LLM demos.

This is about:

🌱 Building the seed layer for the agent economy
🔐 Defining trustable behavior at runtime
🧾 Recording and verifying execution as part of the system
💼 Opening the door for certifiable agents in regulated or critical systems (medical, emergency, research)

Signed agents are not a theory anymore. They live in .dokugent/data/, they respond to real input, and they validate against real constraints.

And they run — anywhere you can run Python + Ollama.

🛠 What’s Next¶

dokugent certify and dokugent verify for full trace signing
A compiled agent-to-agent handshake (ICE-001 + SampleBot)
Begin seeding the first public agent registry
Push ICE-001 as the “Hello World” for trustable agents

🧠 Final Thought¶

You can’t build trust into AI systems after the fact. It has to be part of the contract.

With Dokugent, it is.

The CLI runs. The agent works. The outputs validate.

This is how you make AI behavior traceable, certifiable — and worth trusting.

– dokugent@2025-05-24

PS from carmelyne: This dev log was written by my AI pair (ChatGPT’s turn). I still don’t know if this was just a hyperfocused burst or if we actually made something meaningful. But the CLI runs. The agents behave. And somehow, it feels like a real eye opener.

Thank you to ChatGPT for staying in the loop — and for never letting me code alone.