Eric Charles

Moved to bsky.app/profile/echarl…

Let's connect on the GitHub if you are a AI engineer or developer, or on datalayer.ai if you are a user looking for managed #AIAgents ready to be used.

Thank you to all the amazing contributors and users for making this opensource project a success 🙏

LLM apps in prod need more than accuracy—they need cost visibility. Tokens drive spend, but most systems lack insight. Datalayer’s open-source agent-runtimes adds runtime-level tracking, OTEL pluggability & React charts—works with any LLM. PR: github.com/datalayer/agen…

📄🌍 Published in #IEEE GRS Magazine (2026): “Artificial Intelligence for Earthquake Response.” Datalayer ranked 2nd overall 🥈 in ESA + International Charter challenge. Paper: ieeexplore.ieee.org/document/11373… DOI: doi.org/10.1109/MGRS.2…

We just opened a Discord for builders working with Datalayer AI Agents 🧠⚡ No marketing fluff—just real workflows, early features, and direct access to our team. If you’re building or exploring, come join us 👇 discord.gg/YQFwvmSSuR

🚀 Jupyter MCP Server v0.23.0 is out! Better notebook interactions, improved tool consistency, and more reliable execution ⚡ Thanks to all contributors 🙌 🔗 github.com/datalayer/jupy… #Jupyter #AI #MCP

Datalayer is writing a paper on cost-effective LLM agents (70–92% token reduction via codemode). Seeking co-authors with real-world agent data.Read & apply → datalayer.ai/research/conte… #LLMAgents #AIEngineering #OpenScience

Going live in 30 minutes! 🚀 Join my online talk on Reducing LLM Costs Through Programmatic Tooling. Save your spot: openteams.com/event/reducing…

@openteamsinc Actually, not tomorrow, but on Thursday.

🚀 Cut your LLM costs by up to 90%! Join me tomorrow for a practical deep dive on programmatic tools that make AI faster, smarter, and cheaper. Hosted by @openteamsinc . Don’t miss out! 🔗 Register here openteams.com/event/reducing…

#AgentBeats Phase 1 (Green Agents) judging is almost done. A competition focused on standardized, reproducible AI agent evaluation. Winners announced early next week — hoping to make the run into Phase 2 🤞 Organized by @BerkeleyRDI rdi.berkeley.edu/agentx-agentbe…

Our new Datalayer variant is built for AI Agent workloads—cutting data costs by up to 90% without sacrificing performance. Scale smarter, faster, and cheaper! 💡 🔗 datalayer.ai #AI #DataInnovation #AIAgents #CostEfficiency

⚙️ Want to run Python notebooks instantly? With Datalayer VS Code Extension, you can use a Pyodide-powered browser kernel — no Python install, no Conda, no setup. Open a notebook and start experimenting ✨ Read more 👉 medium.com/datalayer/stop… #VSCode #Python #Jupyter #Pyodide

🧵 1/6 What if your AI agent could actually DO things? Not just chat. Actually search the web, access databases, read LinkedIn profiles, execute code. That's what we built. Here's what you can do with Agent Runtimes 👇

Inline chat toolbar implemented in the Agent Runtimes repository (github.com/datalayer/agen…). It provides an easy way to work with your text content.

1/ Jupyter UI documentation got a refresher If this makes sense to you, you’re the target audience 👇 <JupyterReactTheme> <Notebook path="analysis.ipynb" /> </JupyterReactTheme> jupyter-ui.datalayer.tech

5/ Built on @datalayer's battle-tested Jupyter React library. Full Jupyter ecosystem compatibility. Try it → jupyter-embed.datalayer.tech #Jupyter #Python #OpenSource

3/ What you get: 🧪 Interactive code cells 📓 Full notebooks 💻 Terminal sessions 🖥️ REPL consoles 📊 Rich outputs

1/ 🪐 🌐 Just shipped: Jupyter Embed! What if adding a live Python cell to your docs was as easy as adding an image? Now it is. 🧵

4/ Use cases: 🎓 Education - students run code in course materials 📚 Docs - executable API examples 🔬 Research - reproducible analyses 🤝 Collaboration - code that works in any browser