AI Products8 min read
Five Decisions Before Building a Healthcare AI Product
Five product decisions to settle before building a healthcare AI product: intended use, the AI boundary, data flow, validation, and who owns it after launch.
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Insights
Practical perspectives on technology leadership, AI product development, architecture, and building software organizations that can scale.
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Architecture & Security7 min read
When Should Your AI Product Use MCP?
When does MCP simplify an AI product's integrations? Compare shared tool access with direct APIs, including security, ownership, and a practical pilot.
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Fractional CTO7 min read
How a Fractional CTO Evaluates AI Build-vs-Buy Decisions
Should you buy an AI product or build a custom solution? Evaluate workflow fit, quality, total cost, and ownership before committing to either path.
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AI Products6 min read
Why Production AI Workflows Need More Than an LLM Call
A demo that extracts invoice fields can still create duplicates or a backlog of corrections. Production AI workflows need validation, recovery, human review, and a complete first release.
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AI Products7 min read
When Does AI Automation Need More Engineering?
How to tell whether a business process needs simple AI automation or an engineered AI workflow, using failure containment, run length, and auditability.
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Startup Technology7 min read
How to Plan a Startup MVP Without Overbuilding It
Learn how to plan a startup MVP that tests the right assumptions, uses a practical architecture, and avoids spending time and money on complexity you do not need yet.
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Fractional CTO10 min read
What Does a Fractional CTO Do in the First 90 Days?
Learn what a fractional CTO should accomplish in the first 90 days, from product and architecture decisions to vendor oversight, security, and engineering execution.
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Fractional CTO9 min read
When Should a Startup Hire a Fractional CTO?
A practical framework for deciding when a startup needs experienced technology leadership but is not yet ready to hire a full-time CTO.
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Let’s talk about what’s next.
Whether you’re planning your next product, scaling your engineering team, evaluating AI, or preparing for growth, let’s discuss how experienced technical leadership can help.