5/5 Ensemble: Run multiple distinct agent configs in parallel → select the best trajectory. Leverages success of the portfolio vs single variants (see also: @/karpathy’s LLM Council). Can outperform best-of-N on accuracy but at lower cost & latency. Here’s how each method did
AGENTS
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Best-of-N : optimisation parallèle d’agents IA
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4/5 Best-of-N: Run one agent config N times in parallel → select the best trajectory. Leverages LLMs’ non-determinism – but hinges on a good eval mechanism (we use an LLM-as-a-Judge). Can increase accuracy without linearly increasing latency – but parallel runs can add up $$.
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Agent Scaffolding: Building the Infrastructure
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3/5 Agent scaffolding: Adjust prompts, integrate tools/skills, set execution policies, retries, memory, etc. → create the operational framework. Useful for long-horizon or multi-step tasks.
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4 agent optimization methods tested on BrowseComp-Plus
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1/5 We’re seeing 4 common agent optimization methods for hitting the right accuracy-cost or accuracy-latency tradeoff. We tried them all out on BrowseComp-Plus (results at end of the thread).
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AI voice use cases for podcasts, training, and storytelling
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Think about the use cases: → AI podcasts with distinct hosts
→ Training simulations with realistic dialogue
→ Storytelling with emotional range
→ Assistants that sound more natural
→ Multi-speaker conversations where every voice has a personality This is not just -
AI Agent Must Cut Tokens via MCP
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Your AI agent must connect to its MCP server and follow the workflow to significantly reduce token usage.
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Monitoring AI agent token usage and performance
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Thanks. Can you conform you’re on the latest version? There should be a section right below the progress bars that gives you a detailed breakdown of the specific agents, skills, plugins, and usage patterns that caused outsized token usage
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Glean platform uses AI Agents for unified enterprise information retrieval
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all
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Codex uses Peekaboo to get Telegram token from BotFather
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Codex was debugging a Telegram issue and needed a new token, so it used Peekaboo to open the Telegram Mac app, talked to botfather and just did it. Computer Use is amazing. https://
peekaboo.sh -
Man builds laser drone using Claude Code
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Man builds a drone that tracks targets with a laser using Claude Code pic.twitter.com/ZeTSHZZrXC
— AI Breakfast (@AiBreakfast) 13 mai 2026Man constructs a drone that tracks targets with a laser, powered by Claude Code
