A small MCP endpoint from OpenClaw was exposed over Tailscale and connected to Poke through its API, allowing the two agents to communicate privately and exchange requests and context.
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A benchmark was conducted comparing Jev by TypeSafe and Claude Code agents for filling out web forms. The test involved three real forms, with no submissions made.
A society of 100 agents was built using the Jev model, enabling 100 decisions per request in approximately 250ms. This setup allows for 20,000 decisions at a cost of just 11 cents, making it 240 times cheaper than a frontier model.
This approach involves using Codex to create APIs for web applications, which are then connected to ChatGPT via custom GPT Actions. With GitHub access to the project code, ChatGPT can provide insights about the app's architecture and behavior.
This proof of concept utilizes a hybrid approach where Claude plans the task and the Jev model manages per-step click decisions, providing a fast and cost-effective solution.
Connect Grok and Cursor to GitHub to streamline app development. Use Grok Bot to manage commands and review builds efficiently.
TypeSafe AI's Jev model has been integrated into a system layer, providing clean, typed decisions from unstructured state in under 500ms. This integration enhances backend processes by scoring and filtering context efficiently.