How To Make Your AI Second Brain Auditable With GitHub
GitHub is not only for programmers. It gives an AI second brain history, review, and recovery, so agents can help without turning your workspace into a black box.
I write and teach how to build AI systems that expand human intelligence, creativity, and agency: memory, skills, workflows, and creative strategy.
GitHub is not only for programmers. It gives an AI second brain history, review, and recovery, so agents can help without turning your workspace into a black box.
Multi-agent workflows do not start with more agents. They start with better work design: separating responsibilities so creation, review, judgment, and context each have their place.
Better prompts are not enough for serious AI work. Agents become useful when they can inspect the state of a project, see what changed, and operate inside a shared world.
Agents need more than prompts. This practical guide shows how to give them persistent project state: matters, status, rules, documents, and logs they can inspect and update.
AI agents should not be supervised everywhere or trusted nowhere. The useful pattern is human checkpoints: clear places where judgment, risk, and publication decisions stay with you.
A practical checkpoint model for agentic work: where to let agents run, where to stop them, and where human approval protects the whole workflow.