Shipped a trust upgrade across NexArt: • Canonical node now issues signed attestation receipts (Ed25519) + publishes public keys • @nexart/ai-execution v0.5.0: offline verification of node receipts + reason codes • @nexart/codemode-sdk v1.9.0: same receipt verification for deterministic runs Try it: 1. Generate a certified AI record: https://nexartaiauditor.xyz 2. Verify independently (no account): https://recanon.xyz Proofs are now portable + independently verifiable — no “trust our database”.

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Not too bad …

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Grok valuation of NexArt vs Claude valuation Not that someone offered anything near that and always with a large pinch of salt

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Proud to see NexArt listed as a verifiable execution layer in Google’s Cybernetic Agent Governance Engine repo. Building tamper-evident, independently verifiable records for AI agents and workflows. https://github.com/google/cybernetic-agent-governance-engine

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nexart.io is getting noticed

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Opened nexart.xyz after ages to write prompts Ended up getting the art instead. No complaints. Still love the app. @arrotu 🫡

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Feels good to see the outreach strategy for nexart.io working and getting the first meet/demo meeting. Not expecting a conversion just yet, but the feeling of getting someone understanding the pressure point in the industry and seeing the value of nexart is already a great +

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gm https://medium.com/@arrotu-nexart/the-missing-proof-layer-in-ai-verifiable-execution-infrastructure-9ec1d1376620

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If you are building agentic flows, retrieval pipelines, or internal decision automation, I would genuinely love to know whether this matches the kind of evidence layer you need. https://x.com/Nexart_io/status/2041469395247993148?s=20

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Most AI tooling stops at execution. Very little helps you prove what actually ran. We just published 2 official NexArt example repos for: • LangChain • n8n The goal is simple: make Certified Execution Records easier to add to real workflows. Not theory. Not just protocol docs. Working examples builders can start from now. https://github.com/artnames

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https://paragraph.com/@artnames/ just wrote another article on Nexart

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We’ve just published @nexart/agent-kit. Why we built it: As more builders move from single LLM calls to agent-style workflows, the integration problem changes. It’s no longer just about recording a model output. It’s about being able to attach verifiable records to: individual tool calls intermediate workflow steps final decisions The lower-level Nexart primitives already exist for that through @nexart/ai-execution and @nexart/signals. What @nexart/agent-kit does is make that path simpler. It is a thin convenience layer for builders who want agent tool calls and final decisions to produce tamper-evident, verifiable execution records with minimal integration work. With it, builders can: wrap a tool call so each invocation can produce its own CER certify the final decision or workflow outcome keep using standard NexArt execution records and verification flows What it is not: not an agent framework not orchestration not planning not memory not a new protocol surface It is just a cleaner way to make agent workflows CER-native. That was the goal. https://www.npmjs.com/package/@nexart/agent-kit

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https://paragraph.com/@artnames/ai-audit-trails-vs-verifiable-execution AI audit trails vs verifiable execution

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All the elements of Nexart as of today: Core infrastructure Nexart.io docs.nexart.io verify.nexart.io @nexart/codemode-sdk @nexart/ai-execution @nexart/ui-renderer @nexart/cli node.nexart.io Nexart protocol v1.2.0 Apps: Nexart.xyz ( what started this 😍 - creative coding ) Byxcollection.xyz ( creative coding ) Fronterria.xyz ( open world game ) Nexartaiauditor.xyz ( Verifiable AI execution ) Velocity.recanon.xyz ( Financial simulation with certification ) nexartscience.xyz ( Reproducible research ) All those app are being built with the nexart sdk and/or using the nexart node

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gm The Missing Layer in AI Systems: Verifiable Execution https://nexart.io/blog/verifiable-ai-execution

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