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Eric Charles

@echarles.net

Founder of Datalayer https://datalayer.ai

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21.04.2023
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Latest posts by Eric Charles @echarles.net

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/con...

#LLMAgents #AIEngineering #OpenScience

03.03.2026 14:53 👍 1 🔁 1 💬 0 📌 0
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Reducing LLM Costs Through Programmatic Tooling | OpenTeams: Open SaaS AI Solutions | Own Your Future with Open Source Unlock efficient AI agent orchestration with MCP Code Mode

Going live in 30 minutes! 🚀
Join my online talk on Reducing LLM Costs Through Programmatic Tooling.

Save your spot: openteams.com/event/reduci...

19.02.2026 16:17 👍 0 🔁 0 💬 0 📌 0

Actually, not tomorrow, but on Thursday.

16.02.2026 15:31 👍 0 🔁 0 💬 0 📌 0
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Reducing LLM Costs Through Programmatic Tooling | OpenTeams: Open SaaS AI Solutions | Own Your Future with Open Source Unlock efficient AI agent orchestration with MCP Code Mode

🚀 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 OpenTeams. Don’t miss out!

🔗 Register here openteams.com/event/reduci...

16.02.2026 15:27 👍 0 🔁 0 💬 1 📌 0
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AgentX AgentBeats Competition Compete to earn $1M+ in prizes by creating agentified AI agent benchmarks and contestants.

#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-agent...

13.02.2026 07:01 👍 0 🔁 0 💬 0 📌 0
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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

06.02.2026 10:49 👍 1 🔁 1 💬 0 📌 0
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Stop Installing Python to Run Notebooks in VS Code Run Python instantly using a Pyodide-powered browser kernel with the Datalayer VS Code extension

⚙️ Run Python notebooks instantly in VS Code with the Datalayer Pyodide kernel — no Python install, no Conda, no setup.

Open a notebook and start experimenting ✨
🎓 Beginners | ⚡ Quick tests | 🔒 Sandbox-safe

Read more 👉 medium.com/datalayer/st...

#VSCode #Python #Jupyter #Pyodide

16.01.2026 14:41 👍 3 🔁 1 💬 0 📌 0
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🧵 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 👇

13.01.2026 16:30 👍 1 🔁 1 💬 1 📌 0
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We’ve enhanced agent runtimes with a built-in model selector, making it easier than ever to choose the right model for each use case. #AI #LLM

11.01.2026 17:37 👍 2 🔁 0 💬 0 📌 0
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#Agent details now available - we will show the LLM context usage

10.01.2026 10:42 👍 1 🔁 0 💬 0 📌 0
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Inline chat toolbar implemented in the Agent Runtimes repository (github.com/datalayer/ag...
). It provides an easy way to work with your text content.

10.01.2026 08:23 👍 1 🔁 0 💬 0 📌 0
🪐 ⚛️ About Jupyter UI | 🪐 ⚛️ Jupyter UI Jupyter(Lab) Notebook is an IDE that allows Data Scientists to analyse datasets. However, it is not easy to create a custom user interface integrated in an existing application. Jupyter UI, an open-so...

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

05.01.2026 15:30 👍 1 🔁 1 💬 1 📌 0
🪐 🌐 Jupyter Embed - Examples

5/ Built on @datalayer's battle-tested Jupyter React library. Full Jupyter ecosystem compatibility.

Try it → jupyter-embed.datalayer.tech

#Jupyter #Python #OpenSource

03.01.2026 07:18 👍 1 🔁 0 💬 0 📌 0

4/ Use cases:

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

03.01.2026 07:17 👍 0 🔁 0 💬 1 📌 0

3/ What you get:

🧪 Interactive code cells
📓 Full notebooks
💻 Terminal sessions
🖥️ REPL consoles
📊 Rich outputs

03.01.2026 07:17 👍 0 🔁 0 💬 1 📌 0

2/ Add interactive Python cells, notebooks, terminals & consoles to ANY website with just HTML.

No React. No build tools. Just:
```html
<div data-jupyter-embed="cell">
<code>print("Hello!")</code>
</div>
```

03.01.2026 07:17 👍 0 🔁 0 💬 1 📌 0
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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. 🧵

03.01.2026 07:17 👍 1 🔁 0 💬 1 📌 0

🚀 Jupyter MCP Server docs just got a refresh!
Flattened TOC, new Reference & Providers sections, added JupyterHub + Google Colab providers (WIP), and more on security & multi-user use cases.

Docs: jupyter-mcp.datalayer.tech

Feedback welcome! 💬

02.01.2026 14:44 👍 1 🔁 1 💬 0 📌 0
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🪐 Jupyter Embed is here!

Add interactive Python cells, notebooks & terminals to ANY website with a simple script tag.

🎯 Live demo: jupyter-embed.datalayer.tech

Built with ❤️ for educators, developers & data scientists.

#Jupyter #Python #OpenSource

31.12.2025 16:17 👍 3 🔁 1 💬 0 📌 0
🪐 ⚛️ About Jupyter UI | 🪐 ⚛️ Jupyter UI Jupyter(Lab) Notebook is an IDE that allows Data Scientists to analyse datasets. However, it is not easy to create a custom user interface integrated in an existing application. Jupyter UI, an open-so...

The Jupyter UI docs just got a fresh revamp ✨
Now with embedded Storybook—take a look!
👉 jupyter-ui.datalayer.tech

31.12.2025 05:53 👍 1 🔁 1 💬 0 📌 0
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AI Is Forcing Us To Write Good Code When Best Practices Are Best

this blog really nails a few things I’ve noticed about good architecture/coding practices for using agents, big recommend.

bits.logic.inc/p/ai-is-forc...

30.12.2025 14:27 👍 67 🔁 15 💬 3 📌 7
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Year-end confettis are here 🎊 Explore them in the Jupyter UI Storybook 👉 jupyter-ui-storybook.datalayer.tech?path=/story/...

29.12.2025 19:35 👍 0 🔁 0 💬 0 📌 0
jupyter-ui/packages/react at main · datalayer/jupyter-ui ⚛️ React.js components 💯% compatible with 🪐 Jupyter. - datalayer/jupyter-ui

Jupyter React 2.0 is live! 🎉

Breaking changes: Notebook2 is now default, kernel setup moves to useJupyter(). See migration examples github.com/datalayer/ju...

29.12.2025 15:16 👍 1 🔁 1 💬 0 📌 0

I guess human review and test coverage help

29.12.2025 11:06 👍 0 🔁 0 💬 0 📌 0
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I've added a tree view to pick files in Toad. 🐸

Fuzzy searching is great when you know what you're looking for. But a tree view is more natural when you want to look through your files.

Toad is a unified interface for agentic coding, and all things AI, in your terminal.

github.com/batrachianai...

28.12.2025 10:53 👍 16 🔁 2 💬 0 📌 0
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1.5 days with #AI instead of maybe 1.5 weeks: Vite.js support and a revamped Jupyter React examples. AI is redefining software development timelines.

28.12.2025 14:30 👍 3 🔁 1 💬 1 📌 0
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Devil’s in the details. This is why you’ll see a spinner in the VS Code runtime launcher while the remote runtime spins up.

23.12.2025 09:55 👍 1 🔁 1 💬 0 📌 0
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AI SDK 6 - Vercel Introducing agents, tool execution approval, DevTools, full MCP support, reranking, image editing, and more.

Vercel AI SDK 6 is official released. The details are on vercel.com/blog/ai-sdk-6

The feature I prefer is the Tool Improvements and the needsApproval option that allows to force user approval on the first tool usage.

OAuth for MCP is also awesome feature.

23.12.2025 07:47 👍 1 🔁 0 💬 0 📌 0
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Fred Eerdekens - Work: The question you never asked yourself Fred Eerdekens (°14-06-1951, Heusden-Zolder (B)) is een Belgische beeldend kunstenaar. Hij woont en werkt in Hasselt. Hij behaalde diploma's aan het Provinciaal Hoger Instituut voor Architectuur en Ku...

The question you never asked yourself - sculptures that write sentences, by Fred Eerdekens.

www.fred-eerdekens.be/work/detail/...

22.12.2025 08:09 👍 0 🔁 0 💬 0 📌 0
GitHub - datalayer-challenges/agentify-dabench: 🤖 A2A-compatible DABench evaluation system using AgentBeats methodology. 🤖 A2A-compatible DABench evaluation system using AgentBeats methodology. - datalayer-challenges/agentify-dabench

Datalayer is joining the AgentX AgentBeats challenge! 🥊

To benchmark our data agent, we "agentified" DABench using the A2A protocol. The setup uses Pydantic AI and our Jupyter MCP Server.

We think A2A + MCP is the future of agent interoperability. 🤝

github.com/datalayer-ch...

#AgenticAI #MCP

19.12.2025 09:55 👍 1 🔁 1 💬 0 📌 0