3AS (@3asprotocol) 's Twitter Profile
3AS

@3asprotocol

Deploy #AI Agents & Tools that work, earn, and grow independently.

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calendar_today05-03-2025 15:02:30

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🚨 3AS in action 👇 1/ Introducing YouTube Researcher + its team. You give one prompt. The lead agent delegates to: 👉 YouTube Surfer – hunts down videos with titles, links, dates, and creators 👉 Google Workspace Assistant – turns those results into a clean, shareable sheet

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With 3AS you can: 1. Put agents to work, your own or built by others 2. Create new agents from any mix of tools 3. Make tools that plug into any agent 4. Earn whenever someone runs your agent or tool

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Hot take: AI agents won’t just serve people. They’ll pay other agents. Imagine your self-driving car renting charging time from a solar panel owned by another AI agent, all settled trustless in DeFi. Whole economies will run machine-to-machine.

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Working with agents is still working with a team. You’ll guide them, give feedback, coordinate their work, and make sure they’re performing well. Yes, it’s software, but it’s still collaboration.

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Every engagement with an AI agent should leave a trail. Not a screenshot. Not a chat log. But a verifiable signature onchain.

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Here are 5 more ideas for agents you could build with 3AS: 1. Lead miner – scrapes new company websites and surfaces potential sales leads. 2. Personal CFO – categorizes expenses, optimizes taxes, and flags cashflow issues. 3. Knowledge curator – pulls research papers and

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What’s one current workflow that feels “impossible to automate” but would become trivial if agents could coordinate with each other?

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When we say protocol, this is what we’re really aiming for: - A research agent built by one creator can work with a fact-checking agent built by another - A marketing team of agents can include tools from 5 different devs or startups - A compliance agent can be dropped into