Make AI agents a working part of your SDLC
I help engineering orgs move past demos to spec-driven development, agent-assisted delivery, and adoption you can actually measure, with the guardrails senior teams need.
Who this is for
- Engineering leaders whose teams are experimenting with AI but haven't made it dependable in production.
- R&D orgs that want spec-driven development and agent workflows without gambling on quality or security.
- Founders and CTOs who need a credible adoption roadmap to show their board, not another pilot that stalls.
Engagement packages
Readiness Audit
I review your codebase, pipeline, and team practices to find where agents can safely take load, and where they can't yet.
- Adoption scorecard & risk map
- Prioritized 90-day roadmap
- Exec-ready readout
Pilot Implementation
We pick one real workflow and make it work end to end, spec-driven, agent-assisted, measured against your own baseline.
- Working agent workflow in prod
- Guardrails, evals & review gates
- Team enablement & playbook
Ongoing Advisory
A standing technical partner as you scale adoption across teams, architecture calls, reviews, and hiring input.
- Biweekly architecture sessions
- Async review & escalation
- Roadmap & hiring guidance
How the work goes
Assess
Baseline your pipeline, code, and team against where agents can help.
Design
Define specs, guardrails, and the metrics that prove it's working.
Pilot
Ship one real workflow to production and measure against baseline.
Scale
Roll the playbook across teams with enablement and standing support.
I've built the thing I'm advising you to build
Questions
Do you write code, or just advise?
Both. I'm hands-on in web and mobile technologies, and I'll pair with your team in the codebase during a pilot, advice lands better when it's proven in your repo.
Which models and tools do you use?
Model-agnostic. I fit the stack to your constraints, cloud or on-prem, frontier or open weights, and design so you can swap providers without a rewrite.
How do you handle security and IP?
Guardrails, evals, and review gates are part of every engagement, not an afterthought. I've led software at a regulated hardware company and design for that bar by default.
What if a pilot doesn't pan out?
We measure against your own baseline from day one. If a workflow isn't ready for agents, that's a finding worth knowing, and the audit points to the ones that are.
How quickly can we start?
A readiness audit usually kicks off within two weeks of a discovery call. Pilots follow once we've agreed on the workflow and success metrics.