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Point README demo link at the live URL (ledgerloop-eta.vercel.app)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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README.md

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Four cooperating AI agents run an invoice through the **procure-to-pay** loop — intake → 2/3-way matching → approval routing → reconciliation — and the dashboard **streams the agent execution trace live** as it happens. When a price/quantity mismatch is caught, the run is conditionally routed to approval and **pauses for a real human decision** (Approve / Reject) before anything posts. Built with [Mastra](https://mastra.ai).
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### ▶︎ [Try the live demo →](https://ledgerloop.vercel.app/)
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### ▶︎ [Try the live demo →](https://ledgerloop-eta.vercel.app/)
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> A deliberately small, finished, deployable demo. The point isn't feature breadth — it's that the production parts (typed agent boundaries, runtime validation, conditional orchestration, graceful failure, live streaming) are all here and working, which is what separates a multi-agent *system* from a prompt in a loop.
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I build production-grade AI features fast — freelance / contract, fintech & AI. If this is the kind of thing you'd want shipped, let's talk.
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- **Live demo**<https://ledgerloop.vercel.app/>
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- **Live demo**<https://ledgerloop-eta.vercel.app/>
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- **GitHub**[@DylanMerigaud](https://github.com/DylanMerigaud)
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- **LinkedIn**[in/dylanmerigaud](https://www.linkedin.com/in/dylanmerigaud/)
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- **Email**[dylanmerigaud.pro@gmail.com](mailto:dylanmerigaud.pro@gmail.com)

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