Join CryptoMondays on Wednesday, March 11 for aa special AI on Bitcoin session with Parth Pathak, Founding Contributor at TACHI.
As AI agents evolve into economic actors, they will need a secure, censorship-resistant financial settlement layer. Bitcoin is uniquely positioned to fill that role—but historically it has lacked programmability.
TACHI aims to change that.
This session will explore how agentic smart contracts and AI-driven financial agents could unlock a new era of programmable Bitcoin capital.
About the Guest
Parth Pathak is a founding contributor at TACHI, the Agentic Execution Layer for Bitcoin.
He previously helped build unicorn blockchain ecosystems at Polygon, where he worked on Supernets and the CDK, and earlier created India’s nation-scale Geospatial Data Platform.
Parth also founded Nakamoto Hub, an initiative focused on seeding deep-tech research and development on Bitcoin.
About TACHI
TACHI is building the Agentic Execution Layer for Bitcoin, enabling BTC to move from passive store-of-value to active programmable capital.
The Problem – The Sovereignty Gap
Institutions and AI agents want to access yield, DeFi, and payments on Bitcoin, but most solutions rely on custodial bridges or wrapped assets.
The Solution
TACHI provides a non-custodial environment for native execution on Bitcoin.
How It Works
Through SatVM, a novel runtime enabling agentic smart contracts operating on virtualized satoshis.
First Product: Agentic Yield
Autonomous agents optimizing native BTC yield strategies.
Why Now?
As AI agents become economic actors, they require a settlement layer that is trustless, censorship-resistant, and globally secure. Bitcoin is the only asset that fits that role—TACHI makes it programmable.
Discussion Topics
⚡ The rise of AI agents as financial actors
⚡ Why Bitcoin may become the settlement layer for machine economies
⚡ What agentic smart contracts look like in practice
⚡ Native Bitcoin yield without custodial bridges
⚡ The future of AI + Bitcoin infrastructure
🗓 Wednesday, March 11, 2026
🕔 Time: 1:00 PM – 2:00 PM EDT
📍 Online
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