Built around curiosity for misunderstood systems and commercially interesting problem spaces, these research reports examine products, markets, AI systems, software workflows, and operational bottlenecks through structured reasoning, behavioral analysis, and deep internet research. Each analysis report combines evidence, synthesis, skepticism, and systems-level thinking to understand what actually matters beneath surface narratives and popular misconceptions.
AI Evals Architecture · June 2026
A technical story of how modern eval systems run datasets, capture traces, score RAG and agent behavior, use LLM judges, and turn quality checks into CI gates and production monitoring.
Read report →AI Trend Research · May 2026
A GitHub trend scan of AI, agent, LLM, RAG, voice, coding-agent, and model-tooling repositories, narrowed into five product opportunities around agent governance, codebase memory, RAG intake, voice ops, and output QA.
Read report →Infor M3 Product Opportunity Research · May 2026
An integration-first map of 32 M3 ecosystem signals clustered into 12 workflow themes and narrowed into five high-conviction support-app opportunities for order, supplier, stock, and returns operations.
Read report →PH Market Scan · May 2026
A scan of the rolling 30-day Product Hunt window (Apr 10 — May 10, 2026), clustered into pain-point themes and ranked for the constraints of a solo developer with ten to fifteen hours a week and a strong agentic-AI hand.
Read report →A Problem-Space Analysis · May 2026
A skeptical inventory of where the personal-finance app market actually hurts in 2026 — and whether an agentic AI layer is solving a real wound or selling a familiar lozenge.
Read report →The next research report is in progress. Topics under consideration include developer tooling economics, SaaS pricing mechanics, and AI workflow automation for knowledge workers.