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Latest release

6 source stories

  1. Suuri Builds Instagram slide for Anthropic Joins the AI Agent Race With Claude DuetRead original ↗
    Story 01nytimes.com
    • TLDR
    • Big Tech & Startups
    • ai_models

    Anthropic Joins the AI Agent Race With Claude Duet

    Anthropic's Claude Duet joins a fast-growing field of AI assistants that take actions and perform tasks on their own. Unlike OpenAI's dots and Meta's Muse, Anthropic's agent was built for work and is less capable at personal errands. It can connect to more than 6,000 outside apps and make purchases through Link, Stripe's digital wallet, and Shopify's Shop Pay. The agent shows users exactly what it plans to do before performing actions, and some actions, like trading stocks or moving money between accounts, are blocked even with user approval. The wait list to use the agent is now open to Anthropic's Pro and Max plan subscribers.

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  2. Suuri Builds Instagram slide for The Topology of an LLM Agent Loop With Tool UseRead original ↗
    Story 02blog.exe.dev
    • TLDR
    • Programming, Design & Data Science
    • ai_models

    The Topology of an LLM Agent Loop With Tool Use

    An agent is three things: a model, an agentic loop, and a set of tools. Where these run has implications for cost, capability, effectiveness, and security. If you focus on topology, you can break down any agentic product and reason about what a product can and cannot do. There isn't one perfect loop - good UX for a general-purpose chatbot is not the same as good UX for a coding agent.

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  3. Suuri Builds Instagram slide for How Shopify turns open models into task expertsRead original ↗
    Story 03shopify.engineering
    • TLDR Data
    • Deep Dives
    • tools_self

    How Shopify turns open models into task experts

    Shopify trains and hosts specialist open models for Sidekick's focused tasks, using production failures and human feedback to improve them. Its GraphQL specialist slightly outperformed the frontier model on Shopify's evaluation while responding 7x faster and costing about 90% less to serve.

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  4. Suuri Builds Instagram slide for Asking LLM for ConfidenceRead original ↗
    Story 04rumple.github.io
    • TLDR Dev
    • Opinions & Advice
    • ai_models

    Asking LLM for Confidence

    An LLM's stated confidence is generated text, so a precise-looking number should not be treated as a calibrated measure of correctness. The proposed alternative derives scores from observable evidence and historical outcomes, then checks calibration regularly on the same kinds of tasks.

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  5. Suuri Builds Instagram slide for Evaluating Agents on Highly Subjective TasksRead original ↗
    Story 05cameronrwolfe.substack.com
    • TLDR Dev
    • Miscellaneous
    • ai_models

    Evaluating Agents on Highly Subjective Tasks

    Reliable evaluation of open-ended agent tasks combines calibrated human judgments, automated judges or rubrics, and production monitoring. Power analysis, confidence intervals, and repeated runs help distinguish improvements from noise, while realistic, diverse tasks, and production feedback keep benchmarks useful.

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  6. Suuri Builds Instagram slide for Hands On: DIY Guide to Animated LinkedIn InfographicsRead original ↗
    Story 06knowledge.gtmstrategist.com
    • TLDR Marketing
    • Resources & Tools
    • design_growth

    Hands On: DIY Guide to Animated LinkedIn Infographics

    Tim Scheuer's process for creating animated B2B LinkedIn infographics starts with writing an original insight, designing a static graphic, then animating it in Claude Code using HTML, CSS, and JavaScript. He builds a reusable project repository containing brand guidelines, fonts, icons, coded components, audience profiles, and past posts to keep the output consistent with his voice. Claude generates and reviews the animation through multiple rounds before Scheuer approves the final version. He batches five posts on Sundays, repurposes ideas across LinkedIn, X, and his newsletter, then uses engagement data to identify qualified prospects and start conversations.

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