A company discussed on AI Engineer.

Just do it. (let your tools think for themselves) - Robert Chandler
Jun 10, 2025 · 6:50
Robert Chandler, co-founder and CTO of WordWare, argues that current low-level MCP tools wrapping APIs directly cause agents to be slow, expensive, and unreliable, citing an example where a Slack MCP took five minutes and failed to send a message. He advocates for agentic MCPs that blur the line between tool and agent, giving tools more agency and simple natural language APIs. Chandler demonstrates WordWare's new MCP toolbox, which turns workflows like a competitor analysis (scraping Twitter, writing to Notion) into a single, reusable tool for agents like Claude. This approach yields highly reliable, repeatable, and aligned results, offloading complex tasks from the main agent and allowing it to focus on reasoning. The episode promotes building tools that think for themselves, following the pattern of specialist teams like the Avengers.

Beyond Conversation: Why Documents Transform Natural Language into Code - Filip Kozera
Jun 10, 2025 · 10:57
Filip Kozera argues that chat-based interfaces like ChatGPT create ephemeral, polluted context windows and lack forced clarity, making them poor for specifying complex systems, while documents naturally force rigor and structured thinking. He advocates shifting from conversational brainstorming to document-driven workflows, where humans precisely articulate intent for AI agents. Kozera introduces background agents that run asynchronously, triggered by events like emails or meetings, and surface only when needing human approval, turning the human role into one of 'swiping left or right' to approve or edit outputs. He envisions a future where humans manage swarms of such agents, first adopted by prosumers and later by enterprises, with taste and intent becoming critical for imbuing personal brand into agent outputs. The episode presents a clear progression from chat-based brainstorming to structured document-driven agent systems.
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