Prototype to Learn, Build to Ship: Product Discovery, CRO Limits, and the Multi-Agent Era

Published on 22.04.2026

AI & AGENTS

Build to Learn vs Build to Earn

TLDR: The best product managers today aren't just facilitating — they're building prototypes to learn fast. In the age of AI tooling, the bottleneck has shifted from delivery to discovery, and that changes everything about what it means to do the job well.

Build to Learn vs Build to Earn


Squash and Stretch: Bringing Disney Animation Principles to Web Interfaces

TLDR: Josh Comeau walks through one of Disney's classic 12 animation principles — squash and stretch — and shows how to apply it to SVG icons and micro-interactions on the web. It's a practical guide that covers both CSS-only and JavaScript-powered approaches, with honest discussion of browser support trade-offs.

Squash and Stretch


Why CRO Is So Difficult

TLDR: A well-designed A/B test framework and a genuinely large UX improvement still often move the needle barely at all. A case study of a website adding full mobile responsiveness — with no measurable change in engagement — leads to a model for understanding why motivated users will endure almost anything, and what that means for the realistic limits of conversion optimization.

Why CRO Is So Difficult


I Don't Want a Screenshot of Your Claude Conversation

TLDR: Dave Rupert makes a sharp and honest argument about what gets lost when people substitute AI-generated responses for their own thinking in professional conversations. It's not about whether AI is useful — it's about sycophancy, epistemic asymmetry, and what we owe each other as collaborators.

I don't want a screenshot of your Claude conversation


Multi-Agent Coordination Patterns: Five Approaches and When to Use Them

TLDR: Anthropic's team lays out five practical coordination patterns for multi-agent systems — generator-verifier, orchestrator-subagent, agent teams, message bus, and shared state — with honest discussion of where each one works well and where it breaks down. This is the most useful framework I've seen for thinking through agent architecture decisions.

Multi-agent coordination patterns: Five approaches and when to use them


Building Todoist Ramble: How Doist Turned Voice Braindumps into Real-Time Task Capture

TLDR: Doist's engineering and product team built Ramble, a voice-to-task feature in Todoist that processes live audio with Gemini and makes tool calls in real time — no transcription step, no text output from the model, tasks appearing on screen while you're still talking. This is a detailed and honest account of the decisions that made that possible.

Building Todoist Ramble: How Doist Turned Voice Braindumps into Real-Time Task Capture