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Run confidential AI jobs with publicly verifiable post-quantum receipts.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.augmentev/paseo" MCP server from askskill: Run: claude mcp add --transport http 'ai-augmentev-paseo' 'https://api.augmentev.ai/mcp'
Use Paseo to run an AI inference job containing internal business data and return a publicly verifiable execution receipt summary. Explain how to verify the job was executed without exposing the input contents.
A confidential execution result summary, receipt summary, and steps to verify authenticity.
I want to integrate Paseo into an automation workflow so every AI processing job generates an auditable, verifiable receipt. Provide an integration approach, key steps, and implementation considerations.
An automation-focused integration plan covering job submission, receipt storage, and later verification.
Design an AI execution setup based on Paseo for high-sensitivity use cases, where task contents remain confidential, results are verifiable, and future post-quantum verification needs are considered.
An architecture recommendation emphasizing confidentiality, verifiability, and security auditing.
Generate tamper-evident, post-quantum receipts for agent actions with offline verification.
Anchor document hashes on-chain with offline-verifiable post-quantum proof bundles.
Perform cross-chain crypto actions, contract decoding, portfolio checks, and security screening.
Automate CMMC compliance scans and record AI agent security attestations.
Verify facts for AI agents using checksums and curated data sources.
Securely store and verify long-term AI memory for Claude and Cursor.