Engineering advice for teams putting AI to work.
SELECTIVE_ADVISORY / AI_ENGINEERING / CTO_AT_FRAME
Work with Lloyd Moore on the decisions that make AI-assisted engineering useful: what to delegate, what access to allow, and how to verify the result. Selective advisory engagements for CTOs, founders and engineering leaders.
Advice grounded in operating experience
Lloyd is CTO at Frame, building settlement infrastructure for tokenised money. Previously VP Engineering at Blockdaemon, reporting directly to the CEO, he led engineering from 10 to 187 through its growth to unicorn. Recent work spans agent coordination, shared engineering memory, independent review and access controls.
Advisory work is structured to complement his current CTO role: a defined question, scheduled working sessions and written recommendations your team can act on. Scope, availability and fit are agreed before an engagement begins.
AI delegation and controls
Your team uses coding agents, but each change still needs close supervision. Examine one workflow: the context an agent needs, the actions it may take, the checks that establish success, and where a human should decide.
Architecture and reliability
A proposed platform, integration or infrastructure change needs an independent review. Test its assumptions against failure recovery, operating cost and the people who will maintain it. Identify what needs evidence before commitment.
Engineering economics
More tools and more engineers do not automatically mean more useful output. Examine a hiring, tooling or delivery decision against review effort, rework and operating cost. Establish what to measure before expanding the investment.
Track Record
What Clients Said
"Saved us $500K and shipped in 3 weeks. Worth every penny."
— CTO, Series B SaaS
"Finally, someone who just does the work."
— VP Engineering, 50-person startup
"Came in for one project, stayed for three. That says it all."
— Founder, YC W23
What decision is your team facing?
Email your role, the workflow or decision that is stuck, what you have tried, and the timing. For AI delegation, describe the work you want agents to handle and what currently prevents it.
Start with a conversation to establish fit. Any advisory engagement has an agreed scope, fee and schedule before work begins.
Explore the approach in the writing and Engineering Economics.