Prescott Data Developers @prescottdevs

This is a detailed breakdown of what JarvisCore v1.12 shipped last week. Go test out how the Jev integration works for you and let us know about your experience in Discord discord.gg/SqzscmAfj

Muyukani Kizito @askmuyukani

2 days ago

anyone with 1 hr to spare to sit through this recorded session i did yesterday on using Jev in an agent runtime (JarvisCore)? Pass this test: can you ask Jev if you should watch the video? youtube.com/watch?v=WH2vkI…

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Office Hours with Lisa is ongoing. Join the hands-on building session here: discord.gg/frm462tTc?even…

Jev in JarvisCore 🚀

Muyukani Kizito @askmuyukani

3 days ago

best way to close my day with a webinar on @typesafeai Jev in JarvisCore! i covered the 4 places we are using Jev in our agent runtime: RAG classification and ranking, model routing, subagent routing, and directly in agent decisions this is not the end, i believe there is much

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Tomorrow we will be live with @askmuyukani Come learn about how Jev on JarvisCore will help you build not only smart, but fast and cheaper agents! RSVP: discord.gg/frm462tTc?even…

No, 'caliente, caliente no más! We shipped JarvisCore 1.12 and it comes with Jev by @typesafeai ! Come and learn about Jev next week on Wednesday. We're bringing @askmuyukani founder at @prescottdata for a live discussion on how JarvisCore is using Jev to build faster and cheaper agents, and what opportunities exist to extend Jev in agent harnesses.

@typesafeai Jev on #JarvisCore RAG! We ran real FAISS index, real embeddings, four concurrent live Jev calls and we got 1.37s wall at $0.000074 🤯 What are you building with Jev on JarvisCore this weekend?

JarvisCore 🤝 Jev!

Muyukani Kizito @askmuyukani

a week ago

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Release: github.com/Prescott-Data/…

Your agent should not generate an essay to decide between four tools. JarvisCore v1.12 now supports Jev from @typesafeai natively for typed Choice, Score and Noul decisions. Try it— Jev decides, JarvisCore executes, remembers, budgets and recovers. jarviscore.developers.prescottdata.io/concepts/decis…

Join us on Tuesday, Sep 22 for a Deep-technical Office Hour session with @MutuaDevOps, as we dig into AI agents in production - what actually breaks once they leave the lab, and what that teaches you about building AI Agents. #Jarviscore discord.gg/bBsVa7Qm?event…

Build with us

Muyukani Kizito @askmuyukani

2 weeks ago

a nice debut to founder-led distribution "right of passage" without using "hey guys" okay folks we've open-sourced an agent runtime and we think you will like it for 5 things: no MCP wiring, no master agent just pure mesh with peer-to-peer, deterministic control, zero-trust

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Having a mesh architecture design is not about bloating the harness with fancy technology. We truly believe that agent orchestration should be a true mesh with a shared ledger where all agents are equal peers with an identity and capabilities. No supervisor router. No single point of failure. No single point of scale. That is what #JarvisCore does different!

Correct facts do not always mean that they are useful memory artefacts for agent recall

Built for ever evolving and learning AI agents 🤖 How are developers building agent memory on #JarvisCore?@prescottdata 's Marriane takes devs through a build-along session on a garage desk use case during last week's OH!

@prescottdata In Athena, memory is more than just chat history

OH is live now! Today @devmarrie is scratching the surface on agent memory systems, and it is a first build-along session on this topic in the community's OH sessions. Join hands-on discord.gg/jbRBAsMgM?even…

Try it yourself: github.com/Prescott-Data/…

We are excited about OH tomorrow! Here is a recap of OH technical deep-dive that happened yesterday. Tomorrow we go hands on!

7/ Agents reach a verdict with connected evidence

6/ #Odin seeds the AI agents from the graph, they loop

5/ Every graph hop has receipts, provenance is key