Turn rough ideas into clear, validated designs through focused questions, practical options, trade-off analysis, and approval checkpoints.
AI Brainstorm puts Claude, Gemini, and ChatGPT in the same room — each one answering independently, so you actually see where they agree, where they don't, and why. Useful when the stakes are high enough to want more than one opinion: picking a tech stack, stress-testing a strategy, getting honest feedback on your writing, or thinking through a decision you've been sitting on too long. Stop copy-pasting the same prompt across three tabs. One question gets you all three answers, in one place.
Type one idea, get a full 30-second Shorts plan: timed scenes, narration, captions, and ready-to-paste Seedance 2.0 / KingAI prompts for every scene. Built for faceless channels and AI video creators.
Connect Cursor, Claude Code, Hermes & Codex with a shared local SQLite brain. Slash token costs by 92.2% with instant, zero-amnesia cross-agent recall. 100% private, BYOK, lifetime buyout.
A kickoff protocol (agent skill) for multi-step tasks. Before writing any code, the agent must: run a spec interview, batch every human-authorization step into one checklist, build a self-verification loop (log sink + verify script + dry-run) *before* the feature itself, and build comparable variants instead of blocking on third-party decisions.
For e-commerce brands and media buyers done guessing which ad works. AdSprint turns your product into 5 buyer-psychology angle variants — each a production-ready video script with shot list, visuals, on-screen text, and SKU checklist — inside a structured testing plan: priority ranking, single-variable discipline, kill/keep criteria, and a winner-iteration loop. Feed the brief to any video tool or editor. We make your next ten ads — and tell you which one wins.
Four independent AI reviewers — Security Skeptic, Reliability Realist, Maintainability Pragmatist, and Performance Pessimist — each review your diff blind to the others' verdicts, so real bugs don't get averaged away into one polite summary.
Optimist, Skeptic, and Domain Specialist VC personas review your pitch blind, then cross-examine each other before a board verdict.
We built Autowin by putting models in a loop: discover upgrades → test them → judge them with an assembly of adversarial sub-agents — and we ran that very process on itself, iterating the kit until each piece held up under its own review. The result: from one loosely-defined need, you get back work that has been built, tested, and scored by a panel of judge sub-agents — with closure authority kept outside the model (deterministic checks + you), so an "it's done" is never just taken on faith.