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TL;DR
OpenAI launches the Codex desktop app to manage multiple coding agents in parallel
Grok Imagine 1.0 upgrades AI video with longer clips, better audio, and stronger prompt control
Claude Cowork spooks SaaS markets as Wix and monday.com sell off
Firefox adds a global AI off switch, putting user control back on the table
Why AI coding breaks after prototypes, and how tools like Runnable fix it
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OPENAI LAUNCHES THE CODEX DESKTOP APP
A dedicated command center for managing, reviewing, and coordinating coding agents.
OpenAI launched the Codex desktop app for macOS as a dedicated interface for supervising multiple coding agents over long-running tasks. It reflects a shift from single-prompt assistance to ongoing collaboration, where agents need structure, context, and review.
The app is built for work that spans hours or days. Agents run in parallel by project, each in an isolated worktree, so multiple approaches can happen without conflicts. Changes surface as clean diffs you can comment on, edit locally, or let the agent continue refining.
Codex also moves beyond code generation through skills, which bundle instructions, tools, and workflows so agents can reliably handle tasks like deployments, design implementation, and documentation. A built-in skills manager turns Codex into a system for executing processes, not just producing files.
What you get:
Parallel agent threads organized by project
Diff-first review with manual override
Built-in worktrees for conflict-free collaboration
Skills for repeatable workflows
Shared state across app, CLI, and IDE
What you should know: To drive adoption, Codex is temporarily included in Free and Go plans, and rate limits were doubled across paid tiers. Those limits apply across the app, CLI, IDE extension, and cloud.
OUR TAKE
This launch feels less like a feature update and more like OpenAI formalizing a new workflow.
Once agents can run in parallel and persist over time, the interface matters as much as the model. The Codex app acknowledges that reality by focusing on supervision, review, and coordination rather than faster generation.
It also hints at where developer tools are heading. Editors and terminals are still essential, but they are no longer the place where all work begins and ends. Increasingly, that role belongs to a higher-level control surface that manages agents as ongoing systems, not momentary helpers.
QUICK HITS
xAI releases Grok Imagine 1.0: Video generation expands to longer clips with improved audio and stronger prompt adherence, signaling a push toward scale and higher-fidelity media workflows.
Anthropic’s Claude Cowork spooks SaaS investors: As agents start handling real business work end to end, companies like Wix and monday.com get hit, reflecting growing concern that AI is eating into what subscription software used to own.
Mozilla adds a global AI off switch to Firefox: New controls let users disable or selectively enable AI features. As AI shows up everywhere, users are starting to push back on automatic adoption.
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THE #1 PROBLEM WITH AI CODING
Runnable 2.0 is your editable workspace for AI creation
⏱️ 10-15 minutes | 🔧 Needs: a deck or doc topic, optional PDF/link to source material, brand assets if you have them
Why build this? Most “all-in-one” agents give you a decent first draft and terrible iteration. When something is off, you regenerate, lose good parts, and repeat. Runnable’s advantage is simple: generate fast, then edit natively without restarting.
Steps:
Start with an inspiration (don’t prompt from zero): Pick a slide, site, or layout inspiration. This locks in structure and prevents the “generic AI” look.
Generate from real input: Create slides from a prompt, a PDF, or a link. Use an outline if you already know the story arc. You want the first pass to be complete, not perfect.
Switch to edits, not regen: Fix copy, hierarchy, and layout directly in the editor. Rewrite sections with AI, then do manual adjustments for spacing, typography, and ordering. Keep regenerations scoped to a single slide or asset.
Use the AI canvas for asset work: Generate multiple visual options, upscale, add effects, and mix uploads with generated content. Keep everything on one surface so you’re not bouncing between tools.
Keep branding consistent early: Apply brand styling once, then iterate within those constraints. Consistency is where most AI output falls apart across designs.
Ship the artifact, not a screenshot: Export to Google Slides, PDF, or PowerPoint. If it’s a website or app, deploy it and pull the code when needed.
Expected outcome: A clean, editable deck or asset set that holds up after the second and third revision, without the prompt-regenerate loop.
Full tutorial:
TOOL OF THE DAY
Eleven v3 focuses on controllability. Inline audio tags let you shape emotion, pacing, and delivery across speakers and languages. It is suited for dialogue, narration, and production workflows where consistency matters more than novelty.
