Case studies
Selected client work across AI-native engineering, research infrastructure, and production pilots.
AI research copilot for an investment newsletter
Building a 4-week pilot to ingest earnings-call transcripts and SEC filings into a cited Q&A interface so analysts spend less time reading and more time judging.
Challenge
Research team drowning in filings, transcripts, and news feeds; zero AI expertise in-house.
Approach
4-week pilot: RAG pipeline, citation tracking, theme detection, and human review gates.
Outcome
Pilot scoped for $8,500 with optional $1,999/mo retainer for expansion.
Production LLM gateway + cost controls
Designed and deployed a multi-model LLM gateway with TensorZero on Fly.io for a team that needed predictable latency, cost limits, and A/B testing across model providers.
Challenge
Token spend spiking; no visibility into which model or prompt was driving cost.
Approach
Multi-model gateway, per-function budgets, eval harness, and observability hooks.
Outcome
Cost predictability, latency SLOs, and the ability to swap models without code changes.
AI roadmap for a seed-stage SaaS startup
Helped a seed-stage team go from "we should use AI" to a scoped 90-day pilot with clear evals, model choices, and a hiring plan.
Challenge
Founders had AI ideas but no ML engineer and no clear first milestone.
Approach
Discovery workshop, use-case scoring matrix, stack recommendation, and pilot scope.
Outcome
90-day plan with $15k pilot budget and clear go/no-go criteria.
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