Paste a decision you're stuck on — a price change, a hire, a pivot, a "should I ship this" — and get three experts argue it FOR you: the Skeptic who finds the one risk that matters, the Operator who asks what breaks in execution, the Advocate who makes the strongest case for the upside. A synthesis then names the single question that resolves it. Reasons from your input + domain knowledge only — no invented numbers, no browsing. For founders and PMs tired of arguing with themselves alone.
Investors fall in love with the story they bought and stop testing it. Give this auditor a ticker and the original reasoning behind a position, and it breaks the thesis into falsifiable pillars, checks each against current public evidence, and labels it SUPPORTED, WEAKENING, CONTRADICTED, or INSUFFICIENT DATA — with the source and date behind each. It's a research tool, not a decision tool: no buy/sell/hold calls, no price targets, no sizing. Delivered as a self-contained HTML report.
Research, write, and defend your own essay. A supervised harness that frames the question, researches, drafts a scaffold, has an independent reviewer check it, then helps YOU write it in your own words — and before you submit it checks word-count compliance and that every citation resolves to a real source. Paste your notes or a Google Doc/Drive link (file or folder). Not a humanizer, no fake AI score — the point is work that's genuinely yours.
Turn your pasted research proposal into clear, natural academic prose while preserving your real evidence, methods, limits, and required claims.
Can't choose between options? Three independent AI lenses build the strongest cited case for each one, cross-examine the evidence, and name a winner.
Put any thinker, writer or poet in the room and get a debate that ends in a decision. Name one figure, a few, or none: it picks two that disagree. Each applies their documented way of thinking to your dilemma, then they clash and close with where they agree, where they differ and one step for this week. Claims are labelled Documented, Extension or Speculation. Careful with real people; offers perspectives, not professional advice.
Daily arXiv reading across NLP, computer vision, RL, and LLM systems through ICML, NeurIPS, and ICLR cycles. This skill forces a judgment — contributions, results vs. prior SOTA, honest limitations, and reproduction difficulty — so you decide read/skip/implement in under 5 minutes. Covers LLM architecture, MoE scaling, efficient attention, RLHF, and vision-language models.