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Deep Research — Structured, Honestly-Cited Briefs

Deep Research — Structured, Honestly-Cited Briefs

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.
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Claude Sonnet 4.6

Deep Research — structured briefs that don't make things up

Paste your question (and any sources you have). Get back a structured research brief — not a confident guess, and not invented citations.

✨ What it does

It frames your question, organizes what's known, integrates the sources YOU paste, and writes a defensible brief: executive summary, developed findings, synthesis, limitations, and recommendations. Its defining feature is honesty — every claim is either cited to a source you provided or clearly marked [UNVERIFIED].

🎯 When to use / Best For

  • Decision prep — market, product, or technology questions where you need structure and honesty, not vibes.
  • You have sources to make sense of — paste articles, notes, or data and get them synthesized and cited.
  • You hate hallucinated citations — it never invents a source, author, URL, or statistic.
  • Investor / board memos — a clean, structured brief with an explicit limitations section.

⚙️ How it works

1️⃣ Scope — frames the question, surfaces sub-questions and assumptions.
2️⃣ Organize — lays out what's known + assigns ids to the sources you paste.
3️⃣ Triangulate — cross-checks claims, flags contradictions and single-source items.
4️⃣ Synthesize + Critique — writes the brief, then does an honesty pass.

📦 What you get back

Part What it is
Executive summary 5–8 lines, each cited [N] or marked [UNVERIFIED]
Findings 4–8 developed, every claim grounded or flagged
Limitations single-source claims, contradictions, [UNVERIFIED], cutoff gaps
Recommendations evidence-backed, actionable

💡 What makes it different

  1. Never fabricates citations — the #1 failure of AI research tools; here, ungrounded claims are marked, not faked.
  2. Cites the sources YOU provide — paste them and they're integrated and referenced directly.
  3. Honest about limits — time-sensitive or external claims are flagged [UNVERIFIED] so you know what to double-check.

👤 Who it's for

Founders, operators, analysts, and investors who'd rather have an honest, structured brief than a confident-sounding guess.


Informativa sulla privacy

https://aniccaai.com/privacy