An adversarial AI finds the weakest point in your thinking. A drafter strengthens it. A regression check ensures nothing was lost. Round after round, until the gaps are gone.
"We 10x developer productivity"
The Premise
This is how Karpathy's autoresearch produces research-grade papers autonomously. We took the same adversarial loop and made it work for anything with stakes.
The Loop
An LLM is tasked with one job: find the weakest parts. Logical gaps, unsubstantiated claims, missing context, internal contradictions, audience mismatches. Each finding gets a severity — HIGH, MEDIUM, LOW.
A separate pass decides: are these real problems, or manufactured nitpicks? Returns 0 or 1. If 0, the loop stops — there's nothing substantive left to fix. If 1, the issues are real and we continue.
A drafter applies surgical changes — only what the critique identified. Every edit is logged with a reason. Your voice, your structure, your intent stay intact. Nothing changes that wasn't flagged.
Before accepting any fix, key assertions from the original are re-verified. Did the edit accidentally drop a data point? Soften a critical claim? Introduce a new contradiction? Nothing gets lost in the process.
The loop detects diminishing returns automatically. It stops when no substantive issues are found, when consecutive rounds only surface low-severity nitpicks, or when the changes between rounds drop below 2%. You set the max rounds. The system finds the natural convergence point.
Where it works
The loop doesn't care about the format. It cares about the claims, the logic, and the gaps. If you need something to survive scrutiny, run it through.
Fundraising & Investor Comms
Pitch decks, investor updates, board emails, term sheet memos
Catches unsubstantiated growth claims, missing context for board members, and asks that are buried below the fold.
Research & Academia
Papers, grant proposals, lit reviews, methodology sections
Finds logical gaps that a hostile reviewer would flag, unsupported claims, weak methodology framing, and missing citations.
Strategy & Planning
Business plans, roadmaps, RFPs, competitive analyses
Stress-tests assumptions, catches contradictions between sections, and hardens plans against the questions stakeholders will ask.
Sales & Client Work
Proposals, SOWs, case studies, pricing justifications
Ensures every stakeholder concern is addressed, pricing logic holds, and nothing in the fine print contradicts the pitch.
Content & Thought Leadership
Blog posts, newsletters, op-eds, launch announcements
Tightens structure, eliminates filler, strengthens your unique angle — while preserving the voice your audience expects.
Anything Else
Emails, memos, applications, policy docs, apologies
If someone important is going to read it, the loop finds what you missed. Even a 3-paragraph email can have blind spots.
Transparency
No black box. The reasoning feed streams every step: what the critic scanned, what it found, why the scorer said yes or no, what the drafter changed, and whether all assertions survived. You see the loop think.
Your Controls
Pick the model, set the temperature, choose how many rounds to run. The loop adapts to what you need — from a quick sanity check to a deep adversarial stress-test.
Model
GPT-4o, Claude, Gemini
Free & Pro tiers
Temperature
0.0 — 1.0
Critique intensity
Rounds
1 — 7
Depth of pressure
Mode
Auto / Review
Approve each round
Your next pitch, proposal, or paper is one adversarial loop away from surviving any scrutiny. Free to start.
Try the Loop →No credit card required · 3 free runs per day