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Building AI agents for real operational workflows.
This TechFoundry IMS demo shows an assistant moving from a client purchase-order PDF to vendor ordering, a packing-slip shipment, and invoice filing in one conversation. Each operational change waits for user approval.
Watch the AI agent demo:
https://www.youtube.com/watch?v=WsizXgwP_3w
#AIAgents #Automation #SoftwareDevelopment
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Connect with clients, get discovered, and run your business 100% commission-free
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Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.
It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.
I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io is recorded and anchored to Rekor every minute.
Impressive work! 👏 Excellent approach to AI agent security, tamper-proof audit trails, and human oversight for more trustworthy AI systems.
Short clip from Sim's launch video.
Open-source AI agent builder, $7M raised, YC X25.
AI really changed how I work. I spent the last month learning how to use it to amplify my work, now I’m looking for projects where I can put that into practice at scale. Open for work!
A month learning to use AI to amplify your work before taking it to clients is the right sequence, Jacob. Putting it into practice at scale is where the real lessons show up. All the best finding the right projects.