Pitch Deck Prover MCP Connector for Claude
A+An AI built a pitch deck that claimed a '$4.2B TAM' with no source, described the problem as 'everyone struggles with this,' showed '15K downloads' as traction with 3% D30 retention, and asked for 'funding to accelerate growth' — no amount, no use of funds, no milestones. The deck got rejected in 8 minutes. This tool forces problem validation with evidence, sourced market sizing, defined unit economics, retention-based traction, and a specific fundraising ask.
AI agents build pitch decks that look professional — and get rejected in the first meeting. They invent TAM numbers from thin air. They describe problems nobody validated with actual users. They skip unit economics entirely. They show vanity metrics as traction. They ask for money without specifying what it buys.
The Problem
LLMs commit five pitch deck failures that VCs catch in minutes:
- Unvalidated Problem — 'Everyone has this problem' without a single user interview, survey, or quantified pain point. The problem slide is a belief statement, not evidence. 42% of startups fail because of no market need — and the deck did nothing to prove one exists.
- Fictional Market — '$4.2B TAM' pulled from a Google search with no methodology. No SAM filtering. No SOM grounding. 'We only need 1% of the market' — the most dangerous sentence in fundraising.
- Undefined Model — 'We will figure out monetization later.' No pricing tiers. No CAC. No LTV. No margin structure. The business model slide says 'freemium' with no conversion rate assumption.
- Vanity Traction — '15K downloads' with 3% D30 retention. 'Strong interest from potential customers.' 'Growing waitlist.' None of these are traction — traction is revenue, retained active users, or contractual commitments.
- Vague Ask — 'Seeking $2-5M to accelerate growth.' No specific amount. No use of funds breakdown. No milestones this capital unlocks. No runway calculation. The investor has no basis for evaluation.
How It Works
Pitch Deck Prover validates fundraising narratives through 5 Decision Pivots:
- problemValidated — Evidence the problem exists at scale. User interviews with count, surveys with sample size, quantified existing spend on workarounds. Not 'we believe.'
- marketSized — TAM/SAM/SOM with sourced data and named methodology (top-down from industry reports or bottom-up from customer count × ACV). Not 'billion dollar opportunity.'
- modelDefined — Revenue mechanic, specific pricing tiers, unit economics (CAC, LTV, LTV/CAC ratio, payback period), and gross margin. Not 'we will monetize later.'
- tractionDemonstrated — MRR/ARR if available, active users with retention cohorts, week-over-week growth rate, engagement frequency. Not downloads or waitlist signups.
- askSpecified — Exact amount, use of funds percentage breakdown, milestones unlocked, runway months, and terms. Not 'seeking funding to scale.'
The Verdict Matrix
| First Failing Pivot | Verdict | Meaning |
|---|---|---|
| problemValidated = false | PROBLEM_UNVALIDATED | No evidence the problem exists. Building for a belief. |
| marketSized = false | MARKET_FICTIONAL | TAM without sources. Aspirational arithmetic. |
| modelDefined = false | MODEL_UNDEFINED | No pricing, no unit economics. Hope is not a model. |
| tractionDemonstrated = false | TRACTION_ABSENT | Vanity metrics only. Downloads are not traction. |
| askSpecified = false | ASK_VAGUE | No amount, no milestones, no runway. Unevaluable. |
| All pivots pass | PITCH_PROVEN | Validated, sized, modeled, demonstrated, specified. |
Why It Works
- Tool calls are obligations. The agent cannot skip market sizing or claim traction without stating retention rates. Filling the fields IS the fundraising preparation.
- Consistency engine catches contradictions. If the agent claims
tractionDemonstrated=truebut lists only waitlist signups, the engine rejects with a specific coaching message. - Semantic traps detect hand-waving. Phrases like 'we only need 1%,' 'growing fast,' or 'seeking funding to scale' trigger automatic rejection. Name the number. Name the source. Name the milestone.
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