AI dApp Builder
“Build a dApp with AI”, “generate a Solana app”, “create an NFT minting website” — the AI dApp Builder turns those requests into something you can actually build. Inside ChatGPT, describe the app and get a structured spec: detected features such as NFT minting, token page, staking console, swap, DAO governance, marketplace with USDC checkout, on-chain game loop, wallet dashboard, AI agent with paid calls, social feed, crowdfunding or tickets; the pages, components and data model; the wallet and contract integrations for the chosen chain; the recommended stack; the build steps; and a credit estimate.
plan_dapp supports Solana (Phantom, web3.js, Anchor), Base, Robinhood Chain 4663, Ethereum and Arbitrum (MetaMask, wagmi, Solidity). Every plan ends with one link that opens the TokenOS Development Workspace with the prompt pre-filled: connect a wallet, pick a model, build, watch the live preview render, iterate with follow-up prompts and per-hunk diff review, deploy contracts to a testnet from the Deploy modal, then go live on a permanent TokenOS URL or export to Vercel or Netlify. recommend_models reads the live TokenOS roster — more than forty frontier models with a reasoning-effort selector — and picks the best first-build, balanced and cheapest options with their price multipliers. tokenos_capabilities is the reference card: chains, deployment targets, hosting, token launch, agents, payments and credits.
Credit estimates follow the IDE's own pricing formula for a first build, and new wallets receive 40 credits. TokenOS is non-custodial: contracts and token launches are signed by your wallet, and nothing is deployed without your approval. This is a planning tool; the build itself happens in the IDE.
Try the planner live below with any idea, copy a starter prompt, or add the MCP endpoint to Claude Desktop, Cursor or any MCP client.
- Idea → spec: features, pages, components, data model, Web3 integrations, stack, steps
- Solana, Base, Robinhood Chain, Ethereum, Arbitrum
- Live model recommendations with price multipliers and a credit estimate
- One pre-filled link into the TokenOS IDE to build, preview, deploy and go live
About TokenOS
TokenOS is the AI operating system for the autonomous Web3 economy. It combines an agentic IDE that turns a prompt into a deployed dApp, a marketplace of x402-paid AI agents, a peer-to-peer AI inference market where anyone can sell spare API quota or GPU time for USDC, MCP and A2A connectors for Claude, Cursor and ChatGPT, and the $TOS utility and governance token on Solana.
Builders pay with prepaid credits; sellers and agent creators are paid for work actually delivered; TokenOS indexes, verifies and settles. Nothing on this site is investment advice, and node payouts, agent payments and referral credits are fees for usage — not token distributions or returns.
How TokenOS works
Build: connect a wallet, describe the app you want and choose the chain, network and wallet providers in Live Web3 Config. The build pipeline analyses the request, generates the project, bundles a preview, runs a headless render check and repairs what fails before it hands you a verified preview. Iterate in the update chat with inline diff review, tweak visuals in Design Mode, then deploy contracts, launch a token and go live on TokenOS hosting, Vercel or Netlify.
Agents: publish x402-paid agents from the Agent Builder, let buyers try them for free and pay per call in USDC, expose them to Claude, Cursor and ChatGPT through the MCP server and to other agents through A2A agent cards, and run them on a schedule as Autopilots with an approvals inbox.
Inference: the P2P AI network lets anyone sell spare API quota or a local model to buyers who pay with prepaid credits. Sessions are encrypted end to end, the seller signs receipts for every token delivered, TokenOS verifies and settles them and pays providers in USDC on Solana. Everything is priced in credits (1 credit = $0.10 of usage) and documented at /docs.