Agents and LLM features that hold up in production.
Assistants grounded in your data, kept inside their scope, evaluated before release, and observable after. Built so the first answer is useful and the thousandth is still safe.
Software is being rewritten, again. The teams that win won’t be the ones with the most AI tools. They’ll be the ones with clear architecture, honest measurement, and leaders who know where AI helps and where it hurts.
Consulting services.
Three types of engagement, widening in scope from the system, to the team, to the whole technology function. Choose the one that matches where your company is today.
Staff engineer
Hands-on technical leadership. I take the architecture decisions, the hard problems, and the features that are too risky to hand off, and I raise the bar of the code around me.
Where AI fits
Design and build LLM features and agents properly: grounded in your data, scoped, evaluated, and observable. Set up coding-agent workflows so your engineers ship faster without lowering quality.
A good fit when
- You have a hard system or migration and nobody with the time or scope to own it.
- You want AI features in production, not another prototype.
- Your codebase needs direction before it needs more hands.
Engineering manager
I run the team day to day: planning, delivery rhythm, hiring, mentoring, and the connection between engineering and the rest of the business.
Where AI fits
Update how the team works for AI-assisted development: review practices, security and IP rules, new expectations for junior and senior engineers, and honest measurement of what actually speeds delivery.
A good fit when
- A manager left, or you’re moving on from founder-led engineering.
- The team is busy, but delivery is unpredictable.
- You want to adopt AI tools without chaos.
Interim CTO
I cover the seat during a transition or a search: technology strategy, vendor and budget decisions, org structure, and a clean handoff to your permanent hire.
Where AI fits
Set the AI strategy: where to build, buy, or wait; data and vendor risk; and a roadmap tied to the business instead of the hype cycle.
A good fit when
- Your CTO is leaving, or you’re hiring one.
- You need a technical voice for fundraising, diligence, or a major vendor decision.
- AI is on the board’s agenda and nobody owns it.
Built for the AI era.
AI changes what a small team can ship. It also changes what can go wrong. I help you capture the first and manage the second.
AI-assisted engineering.
Coding agents, review practices, and test coverage that let your team move faster without quietly lowering the bar.
AI strategy and readiness.
Build, buy, or wait. Data, vendor, and security risk. A roadmap tied to the business instead of the news cycle.
Teams designed for the AI era.
Roles, hiring, skills, and ways of working that fit a world where every engineer has an agent beside them, and where judgment matters more than typing speed.
How I think about what’s next.
A few convictions that shape every engagement.
AI is a teammate that needs a manager.
It’s fast, tireless, and sometimes confidently wrong. Give it context, boundaries, and review, the same as anyone you onboard.
Architecture is more leverage now, not less.
When code is cheap to generate, clear boundaries and good data models decide whether a system stays understandable.
Measure what ships, not what’s generated.
Lines produced and prompts sent are vanity metrics. Cycle time, defects, and customer outcomes are the scoreboard.
People own the outcome.
Tools change every quarter. Accountability, judgment, and taste stay with the humans on the team.
Tell me what you’re building, or what’s stuck.
- Send a noteDescribe the team, the problem, and your timeline.
- We talk it throughA short call to check fit and agree on scope.
- Begin a defined engagementA clear role, clear goals, and a point to review progress.
Start a conversation
I read every message myself and reply by email, usually within two business days.
Message sent.
I’ll reply by email, usually within two business days.
© JagsSoft LLC. Software consulting.
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