Opinion research and narrative synthesis: turning cross-platform noise (Reddit / X / YouTube / Hacker News / forums) into a named, source-attributed, period-over-period narrative brief—dominant narratives, per-platform sentiment, emerging concerns, representative quotes (all cited)—not a single sentiment score.
Create polished reports and business documents from user-supplied notes, transcripts, briefs, technical findings, and strategy material.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Most AI research sounds confident and quietly makes up its citations. This does the opposite: paste your question (and any sources you have) and get a structured brief — summary, findings, synthesis, limitations, recommendations — that reasons from solid knowledge and the sources YOU provide, and never fabricates a citation. Anything it can't ground is marked [UNVERIFIED], so you know what's solid and what to check. For founders, analysts, and anyone who needs a brief that survives scrutiny.
Turn pasted customer interview notes into an evidence-ranked product decision memo. Separate customer evidence from interpretation, surface contradictions, and choose the smallest useful next test.
Market Research from affaan-m’s ECC project. Use it for market sizing, competitive analysis, investor due diligence, technology scans, and other business research. It gathers sourced evidence, flags stale data, includes risks and counterarguments, separates facts from inference, and turns findings into clear, decision-oriented recommendations.
Three independent AI reviewers audit your grant narrative for reviewer fatigue, eligibility gaps, and weak impact proof, then cross-examine each other.
Turn pasted incident notes into a factual postmortem draft with a timeline, evidence ledger, bounded causal analysis, and follow-up plan that leaves unknowns visible.