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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
- Trust Score™: Bond-rating-style scores (AAA–CCC) for every AI agent, computed from five weighted signals: integrity, compliance, drift, trace quality, and coherence - Zero-knowledge proofs: Every agent action gets a cryptographic attestation chain — Ed25519 signatures, SHA-256 hash chains, Merkle trees, SP1 STARK proofs - Team risk engine: CoVaR, Markowitz portfolio theory, and DebtRank applied to multi-agent fleets — know which agent is dragging quality down - Real-time containment: Pause, kill, or resume agents automatically when trust drops below threshold Smoltbot gateway: One environment variable, zero code changes — supports Anthropic, OpenAI, and Gemini - Open protocols: AAP (behavioral contracts) and AIP (runtime analysis) on npm and PyPI -
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Álvaro Sánchez Román🙏 110 karmaOct 18, 2024@NotebookLMAccuracy nice. Free
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I have used this for several personal assistant applications and it works amazingly. Obviously it is still restricted to the flaws of any model you are using it with, but the ability to constrain prompts is incredibly helpful (especially when it comes to getting things like JSON format from the AI).
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Wispr Flow-Now on Android!🎤 Dictation -
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Love that it’s open source. I built a whole GPT content pipeline in a weekend.
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To start a learning application, I think this is a great platform to support adaptive and personalized learning.
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Your expert for Quantum Computing and Neural Machine Learning.Open
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