What I do
Principal · Tim LarsenAI-Augmented Compliance Systems
Hybrid retrieval architectures for domains where confidence scores matter and hallucinations are liability. Structured rule engines, citation chains, and deterministic calculation layers — built so every answer can be traced, sourced, and defended.
Hybrid retrieval · Citation · ComplianceHuman-in-the-Loop Architecture
Expert-curated knowledge systems where AI handles scale and humans hold authority. Structured pipelines and validation layers designed so domain expertise gets encoded into the system — not displaced by it.
Curation · Validation · Knowledge engineeringFull-Stack Product Development
One person, full vertical. Fifteen years shipping production software — from database schema to UI to server infrastructure. No handoffs, no committees. Design it, build it, deploy it, maintain it.
Design · Build · Deploy · MaintainA long journey
Web · 1998 → Now-
1998
Tables, spacer GIFs, and FrontPage
Building layouts inside nested
<table>tags, one transparent 1×1 GIF at a time. Browser quirks were a job description. Netscape 4 vs IE was a daily negotiation. -
2003
CSS finds its footing
DOCTYPE switches, the float, and the long argument about
<div>vs<table>. Semantic HTML became a cause. Graceful degradation was the grown-up version of "works in my browser." -
2007
jQuery and the $(document).ready era
Suddenly every interaction was one line of jQuery. AJAX felt like magic. Flash quietly started its exit.
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2010
Responsive design arrives
Fluid grids, flexible images, media queries. The end of the 960px fixed-width mockup. The phone was no longer an afterthought.
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2014
The framework explosion
Bootstrap, Angular, Backbone, Ember, React, Vue. Pick a side, pick a build tool, finish the project before the ecosystem rotates.
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2018
The SPA bill comes due
Server-rendered pages came back in style. Performance budgets got serious. Core Web Vitals. The web remembered how to be fast.
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2022
Copilot changes the rhythm
Autocomplete stops feeling like autocomplete. Writing boilerplate becomes something to review, not type. The feedback loop tightens.
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2024
Pair-programming with models
Agentic editors, repo-aware suggestions, AI that can actually find the bug. The job shifts from writing code to directing it — and verifying it.
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Now
Compliance-grade AI systems
Building where the stakes are real: grounded retrieval, auditable pipelines, and humans still in the loop where it counts. Twenty-five years in — still shipping.