Google just open-sourced its Harness² It's a plug-and-play framework for recursive agent harnessing in an open world. Agents can perform, and learn from, tasks its harness was never designed for. Built around 8 components: 1. System prompt 2. Guardrails 3. Memory 4. Tool guidance 5. Subagents 6. Skills 7. Scripts 8. Plugins Link:

This 𝗗𝗘𝗦𝗜𝗚𝗡.𝗺𝗱 stops Claude Code and Codex from 𝘀𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗴𝗲𝗻𝗲𝗿𝗶𝗰 𝗔𝗜 𝗨𝗜. It's Google's open format. Stitch reads it natively. Claude Code and Codex read it once you add one line to AGENTS .md: "Read DESIGN .md before any UI work." Tokens on top, rules below: → Overview → Colors → Typography → Layout → Elevation & Depth → Shapes → Components → Do's and Don'ts The agent stops inventing a new color and spacing value on each screen, so 𝗲𝘃𝗲𝗿𝘆 𝘀𝗰𝗿𝗲𝗲𝗻 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁. Claude Code users: also install the official frontend plugin: /plugin install frontend-design@claude-plugins-official Check your file against the spec: npx @google/design.md lint DESIGN .md Copy and paste it into your DESIGN .md 👇

I went looking for an AI voice tool that holds up on long audio. Ended up with a clone of my own voice reading a full tutorial script. Slight problem: it sounds more real than I do! Most tools I tried sounded great for the first few seconds, then the tone drifted the longer they talked. Cartesia held up. It needed 10 seconds of my voice for the clone, and it can take up to 60 to keep my accent closer. Recorded the whole process so you can try it too.

I ran AI code reviews on every PR in my repo this week.  Paid for with my Codex subscription. Most review tools bill per run, so you cap them and only point them at a few PRs…Take the token cost out and you’ll always run them. The tool that finally made that possible is Vorflux: - One model plans and build -  A model from a different lab reviews it against a fresh context - The model that writes the code is never the one that approves it - Two rival labs checking each other’s work on your task. I just recorded one PR it did to show you how fast and easy it was. It also plans, builds, and tests across your whole stack the same way, on a real cloud machine, end to end. The craziest part? The PR shows up with a recording of the thing working. I opened it, watched it run, and merged.

Claude and ChatGPT can finally make clean decks for you. You don't touch a single slide. It builds the whole thing. Here's the exact workflow: Step 1: Open ChatGPT or Claude
Step 2: Go to Settings → Connectors → search "Gamma"
Step 3: Click Connect (no API key needed)
Step 4: Prompt it like normal: "Build me a campaign launch deck I can share with my team"
Step 5: Switch on the Gamma connector and hit send
Step 6: Watch the full deck generate inline, no new tab
Step 7: Click the Gamma link to edit further You never leave the chat. Ask for changes and the deck updates in the same thread. I pointed it at my own newsletter and asked Claude for a Q1 2027 growth and content strategy for Simplifying AI. Then, "turn it into a Gamma presentation." It thought through the whole strategy, then handed me a clean deck. One chat and I didn’t have to do a single slide.