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).
AGENTS
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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
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Technical insights on AI agent memory and LoCoMo accuracy
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This article is the clearest Chinese piece I've seen recently on Agent memory. Disclosure: That EverOS mentioned in the article is made by us @EverMind
. Adding three points: 1. That 93.05% LoCoMo accuracy isn't some paper hype number—it's from a script you can run straight from -
Leveraging Multi-Agent Architectures and AI Models for Business Growth
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🚨 Agent Swarms Help Create Billion Dollar Companies
— Abacus.AI (@abacusai) 13 mai 2026
Use SOTA AI models including
– Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro
– SeeDance 20
to create multi-agent architectures with swarms of agents
Thousands of people are using these multi-agent systems to run… pic.twitter.com/HvMmDnAS14Agent Swarms Help Create Billion Dollar Companies Use SOTA AI models including – Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro – SeeDance 20 to create multi-agent architectures with swarms of agents Thousands of people are using these multi-agent systems to run -
AI Agent Monitors Ad Spend Across Channels
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Mindra isn't a chatbot. It's an AI agent team. • Monitors ad spend across channels 24/7 • Pauses underperformers, scales winners — automatically • Routes leads, classifies support tickets, triggers workflows • Takes real actions in Google Ads, Slack & more Built for