The room you couldn't get into.
Pitch, PRD, brief, essay — multipov assembles the panel that would otherwise tell you no.
What stops most people
Real reasons. Worth naming before you start.
So we run four models in parallel and only surface what at least two agree on. The rest is shown as ‘single-model — verify’ so you can see what one machine made up.
Correct. The personas are sourced from what those people have publicly said, written, and shipped — interviews, books, talks, papers. Trained on the public record. Disclosed everywhere on the site.
That's the most expensive option. The cost of a wrong-shaped pitch is one investor's no. The cost of a sixty-second review is a coffee.
Cross the threshold
Paste anything. Pick three reviewers. See what they'd say. No account, no card.
Over 500 words? The free demo tops out here.
Sign in to review pitch decks, PDFs, and any-length text with no cap.
Sign in with Google →That was three voices through one model.
Sign in and the full room shows up — every persona, four models, consensus scoring.
Sign in with Google — FreeWhat we hand you
Four tools. One panel. Your work, kept yours.
The panel reads first.
Every persona reads your doc independently. You get a consensus report — what they all agree on, where they split, and the lone outlier worth a second look.
Pick a persona. Hear your argument in their cadence.
Pick a persona; watch your draft transform. Annotated diffs show every change so you keep the argument and adopt the cadence.
Let them debate it. The disagreement is the point.
Watch reviewers debate your idea in character across the full conversation. The disagreement is the point.
Catch the claim no one verified.
Fans your doc out to GPT-4o, Gemini, and Grok. Flags only when at least two agree AND a source URL is present. Built for briefings, board memos, and strategic-research deep-dives.
The room you can't be in
A strategic-research analyst we work with had a memo going to the chair of an IQT-funded board. He had ninety minutes. He didn't have ninety minutes of board chairs.
He ran the memo through a panel — a former SOCOM J-3, a cleared-defense-tech investor, a senior policy analyst, two consensus-fact-checkers. Six minutes later he had the question the board chair would ask first, the citation that wouldn't survive scrutiny, and the paragraph he could cut without losing the argument.
The memo went in. The chair asked the question. The analyst had the answer.
Composite of multiple multipov customers; details anonymized.
Run yoursPick your use case
Curated review panels for common document types. Browse all panels →
/investors
Practice your pitch with VCs and angels.
/homework
Teachers and professors review your essays.
/press
Reporters tear apart your story pitch.
/grants
Program officers review your proposal.
/wedding
Writers and comedians polish the toast.
/legal-review
Lawyers flag risk in your contract.
/medical
Clinicians explain your diagnosis.
/resume
Recruiters and hiring managers grade your CV.
/listing
Copywriters rewrite your Amazon listing.
/menu
Chefs and critics review your restaurant menu.
/standup
Comedians test your jokes before you go on.
/syllabus
Faculty review your course syllabus.
/constituents
Role-play with voters by state and district.
Your panel, picked for the work.
The router picks the right ones. You can override.
What happens in the sixty seconds
Three steps. The doc never leaves. The panel does the work.
Hand it over
PDF, DOCX, sheet, plain text. We extract content, encrypt at rest, and never use it for training.
The router picks the panel
Content-aware routing chooses the personas most likely to find what's wrong. You can override every pick.
Consensus, then detail
Four models read in parallel. Findings are deduplicated and ranked — what they all agree on first, the disputed calls next, and the single-model claims you should verify.
Use multipov from your AI agent
Claude Code, Cursor, Goose, or any MCP-compatible client. One install command, then submit reviews directly from your editor.
npx -y multipov-mcp-server- 35+ tools — submit_review, submit_plan_review, submit_pipeline_review, get_review_report, list_personas, and more
- Bearer-token auth via API key (mint at /admin/api-keys)
- Same multi-LLM panel + consensus engine as the web UI
Read the agent contract · llms.txt · full docs
What you walk out with.
A consensus report. The questions you'd be asked. The cuts you didn't see. Time back.
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