thats a good idea, cc @bentannyhill we should probably make it possible to bring your own mcp server?
TOOLS
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Using LLMs to Automate Insurance Claim Filings
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Third prompt. Fill the claim. "Walk me through filing a claim for [settlement name]. List the information they will ask for, what counts as proof, the URL of the form, and the deadline. Draft my answers based on what I told you." Then go fill it. Most claims take 3 minutes.
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Using LLMs to Automate Class Action Settlement Searches
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Open Claude or ChatGPT. Paste:
"List every class action settlement currently accepting claims in the US, UK, EU, Canada, and Australia. For each, give the company, eligibility, deadline, estimated payout, and whether proof of purchase is required." You now have the full list. -
New Free Coding Agent Available Using Multiple AI Models
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Deja de pagar por Claude Code y Codex.
— Nico (@nicos_ai) 14 mai 2026
Acaban de lanzar un coding agent 100% gratuito.
Puedes usar cualquier modelo gratis:
• DeepSeek v4 Pro/Flash
• Kimi K2.6
• MiniMax M2.7
Instalación:
→ npm i -g freebuff
Puede escribir código, ejecutar comandos y construir proyectos… pic.twitter.com/bxPwoeK8NSStop paying for Claude Code and Codex. They just launched a 100% free coding agent. You can use any model for free:
• DeepSeek v4 Pro/Flash
• Kimi K2.6
• MiniMax M2.7 Installation:
→ npm i -g freebuff It can write code, run commands, and build entire projects for you. -

Evolutionary Optimization for AI Prompt Engineering and Evaluation
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Stop testing and rewriting prompts manually! Most teams run evals, look at failures, guess what's wrong, rewrite the prompt, then repeat. It's slow and you never know if your rewrite actually fixes the root issue. The better way is evolutionary optimization. Instead of manual
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Codex Goal Feature Unleashes 24/7 AI Workforce
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Codex new `/goal` is literally INSANE You can easily transform your AI bots into a tireless 24/7 workforce that grinds for HOURS completely unguided Codex desktop → Settings → Config, set
goals = true Check out the ace cheat sheet + article by @aiedge_ to master it -

Screen Recording for Detailed Feedback
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I just started screen-recording my feedback and sharing the file with my agent. Then, I generate an HTML report with screenshots and GIFs. I can showcase other apps/sites as good examples, highlight specific elements, and pinpoint precise timing issues like 'this happens right now.' Not for the token.
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Optimizing Claude Code Tool Calls
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You can cut Claude Code's tool calls by 94% with one command.
— AlphaSignal AI (@AlphaSignalAI) 14 mai 2026
When Claude Code explores a repo, it spawns agents to scan files.
Each scan burns tokens on every tool call.
CodeGraph is an open-source MCP server that fixes this.
It pre-indexes your codebase into a local… pic.twitter.com/W8SMYr0RJlYou can reduce Claude Code's tool calls by 94% with a single command. When Claude Code analyzes a repository, it launches agents to scan files. Each scan consumes tokens with every tool call. CodeGraph is an open-source MCP server that solves this issue. It pre-indexes your codebase locally.
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Hermes AI Agent Memory Architecture Explained
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the three-tier memory of Hermes agent. AI agents forgets everything when your session ends. Hermes doesn't. it has three memory layers, each at a different speed. 𝘁𝗶𝗲𝗿 𝟭: 𝘁𝘄𝗼 𝘁𝗶𝗻𝘆 𝗺𝗮𝗿𝗸𝗱𝗼𝘄𝗻 𝗳𝗶𝗹𝗲𝘀 MEMORY.md (2,200 chars) and USER.md (1,375 chars).
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OpenSquilla Releases Cost-Efficient Open-Source AI Agent for Long-Running Tasks
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OpenSquilla released a new open-source AI agent designed for executing cost-efficient, long-running tasks. It offers 60-80% token savings and is available under the Apache-2.0 license! > ML classifier sends simple tasks to cheap models, complex ones to stronger models > 60-80%