Designing deterministic release-risk systems
The problem
AI agents can produce changes faster than teams can confidently evaluate and govern them.
Constraints
- Signals must be inspectable rather than opaque
- Experiments must not be presented as production adoption
How I approached it
Explore deterministic release-risk scoring, deployment impact reports and evidence-backed release decisions.
My contribution
Founder of DeployTitan; currently shaping the product and engineering direction.
Outcomes
- Exploration is in progress; no production adoption or commercial outcome is claimed.
What I learned
- The next bottleneck is evaluating, verifying and safely operating what agents produce.
Technology
Next.js / TypeScript / GCP / GitHub integrations / MCP / Sanity CMS