SELF-DIRECTED PROJECT / AI WORKFLOW AUTOMATION
Autonomous development loops, with review gates.
Connect task execution, independent review and verification with explicit workflow states and stopping conditions.
SELF-DIRECTED PROJECT
AI WORKFLOW AUTOMATION
The problem
AI tools can generate changes quickly, but context, review and verification can become inconsistent across projects.
The approach
- Build bounded task loops around isolated worktrees, implementation, independent review and verification.
- Project execution events into structured runs and evaluate allowed state transitions, evidence and review results tied to a specific code revision.
- Generate evidence-backed improvement proposals with budgets and stop conditions, keeping adoption under explicit review.
What was built
Implemented loop scripts, offline workflow-graph evaluation and bounded improvement tooling. The graph evaluator reports on workflow state; improvement proposals require review before adoption.
How this applies to your team
For teams adopting AI development tools: start with one recurring workflow, make its success criteria explicit, then build the integration and review loop.
LET’S BUILD SOMETHING USEFUL
What should your team spend less time on?
Tell me about the workflow, platform or strategy you want to improve. We can start with a focused technical conversation.
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