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  • Chat Assistants vs AI Employees

    ChatGPT and Claude are great at drafting, but autonomous ops need execution, persistence, and inspectable work. See how Construct compares to chat assistants.

    Construct Computer Blog7 min read

  • I Tried 20+ Tools to Automate Businesses, These Are The Best

    Want to automate your business? Book a free audit: https://calendly.com/dobotai/automation-audit In this video, I break down every tool we actually use to automate businesses, from the CRM that everything else depends on, to n8n, Claude Code, and the tools that hold it all together, with real…

    Doby Lanete

  • Context Engineering: Why Feeding AI More Makes It Dumber

    Bigger context windows were supposed to fix everything — just put it all in the prompt and let the model figure it out. In reality, past a certain point, more context makes AI agents worse. This is the story of context engineering: the discipline of deciding what an AI should — and shouldn't — see.

    Scrollypedia

  • One board for every running agent

    Run multiple AI agents at once and see them on one board with delivery modes, presence-aware routing, and deduped sessions.

    Pushary Blog7 min read

  • Agents can think. Now they can talk.

    The hardest part of shipping an AI agent isn't building it. It's getting it in front of the people it works for.

    Novu Blog6 min read

  • 10 Best AI Marketing Tools in 2026

    Discover the 10 best AI marketing tools in 2026 — from content creation and campaign management to website optimization. Learn why persistent brand memory and learning loops separate the platforms worth your budget from the ones that start from scratch every session.

    Robynn AI Blog9 min read

  • Book of Scouting Reports: Manufacturing robotics

    We identified 80 companies across 14 manufacturing robotics categories that are shaping the future of the factory. Now, our Book of Scouting Reports offers in-depth analysis on companies spanning these markets, from humanoid robots to equipment operation & control AI … The post Book of Scouting…

    CB Insights AI1 min read

  • Prompt chaining explained: how to build reasoning pipelines in Python

    Last Updated on June 12, 2026 Imagine asking a friend who has never baked anything to produce a multi-layered cake. No recipe. No step-by-step instructions. Just: “Make me a three-tier cake with buttercream frosting and a fruit filling.” The result would be unpredictable at best.

    Sebastian Thrun’s Introduction To Machine Learning Blog19 min read

  • Agentic AI architecture: how to design multi-agent systems that actually work

    Last Updated on June 12, 2026 Picture a support operations pipeline built to handle billing inquiries. A customer writes in with a request that combines a billing dispute, a policy exception they read about on a forum, and an account that is missing three months of usage data because of a migration…

    Sebastian Thrun’s Introduction To Machine Learning Blog20 min read

  • Decouple the Agent: Why Prompts, Tools, and Models Don't Belong in Your Client

    A best-practices guide for enterprise AI agents: treat system prompts as runtime config, run tools as Managed Skills, and make models a platform decision — so you can debug faster, ship AI improvements without app releases, and fix production behavior from the console in minutes.

    Vivgrid Blog6 min read

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