Codex Just Got Its Own App

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🚀 Codex Becomes a Command Center for AI Engineers

OpenAI just launched the Codex app for macOS, designed to run multiple coding agents in parallel instead of keeping everything stuck inside an IDE or terminal. Codex is now included briefly for Free and Go users, while paid tiers get doubled rate limits across the app, CLI, IDE, and cloud.

The Decode:

1. Codex turns multi-agent work into a real workflow - The desktop app acts as a centralized hub where separate agents run in project-based threads, letting developers supervise parallel tasks, switch contexts instantly, review diffs, and keep long-running work moving smoothly. 

Codex includes built-in worktree isolation, meaning multiple agents can explore different changes inside the same repo without conflicts, while you can check changes locally or let agents keep progressing independently. 

3. Skills push Codex beyond “write code” - Skills bundle scripts, resources, and tool access so Codex can deploy apps, manage Linear boards, implement Figma designs, generate images, or create formatted PDFs and spreadsheets.

The app supports scheduled automations for repetitive workflows, and OpenAI demoed Codex building a full voxel racing game from one prompt, handling design, development, and QA across 7M tokens autonomously.

Codex is shifting from a coding helper into an orchestration system where teams manage fleets of agents across the full software lifecycle. With secure sandboxing by default, expanded access, and Windows coming soon, this is OpenAI building the operating layer for agent-driven development.

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🎥 How to Auto-Generate AI Avatar Videos at Scale with n8n + VEED

This workflow turns a Google Sheet into a production line for avatar videos. You drop rows with text and images, it generates the video, asks for approval, then publishes to the platforms you choose.

Step-by-step

1. Create a Google Sheet queue: Add one row per video with script text, image link, voice choice, aspect ratio, and optional platforms.
2. Generate voice automatically: The workflow creates TTS per row using OpenAI or ElevenLabs, so each video gets the right voice.
3. Create the talking-head video: VEED Fabric 1.0 takes the image + audio and outputs a ready MP4 in your selected resolution and format.
4. Approve before posting: You get an email with a preview plus approve or reject buttons. Approve to publish, reject to stop.
5. Publish and track everything: It posts sequentially to the selected platforms, updates status in the sheet, and emails a report with post links. 

You can try building this pipeline with n8n + VEED Fabric 1.0. here

🎙️ Eleven v3 Gets Precise

ElevenLabs has officially released Eleven v3 for everyone, moving beyond Alpha. This update is less about sounding nicer and more about speaking correctly. It fixes the hardest part of text-to-speech: numbers, symbols, and technical formatting.

The Decode:

1. Full public launch - Eleven v3 has now exited Alpha and is generally available across all platforms, giving users full access to ElevenLabs’ most advanced text to speech model after months of refinement.

In evaluation tests, users preferred Eleven v3 over the Alpha version 72% of the time, showing a clear improvement in stability, smooth delivery, and listening consistency.

2. Better symbol reading - The model now handles tricky inputs like phone numbers, currencies, chemical formulas, sports scores, and URLs correctly, avoiding the common issue of reading symbols as massive incorrect numbers.

Internal benchmarks across 27 categories and 8 languages show a 68% overall drop in errors, with categories like chemical formulas and phone numbers seeing near-total correction.

Text-to-speech is shifting from voice realism to real-world reliability. Eleven v3 is building speech that can handle complex written context properly, making it far more usable for serious production workflows.

🏆 Tools you Cannot Miss:

🎥 FrameCall – Describe what you want and instantly get a finished video, from logo animations and intros to scroll-stopping social content in just minutes.

🎧 DeVoice – Convert any audio or video into precise text with unlimited, ultra-fast transcription, perfect for podcasts, rap lyrics, meetings, and more.

📢 UGC Maker AI – Generate high-conversion UGC-style video ads, promos, and visuals in minutes with AI, no filming, no editing skills, and no production hassle required.

🌊 Riverflow – Tune AI to your brand voice and ship high-quality creative you don’t need to fix, powered by Riverflow 2.0 for production-ready output.

📝 Obsess AI – Create SEO blogs, social posts, and product descriptions that actually understand your brand and catalog, built for consistent, scalable content.

🚀 Quick Hits

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🦊 Firefox is adding an “AI control” switch on February 24th that lets users fully disable AI features like chatbots, translations, and AI tab suggestions, reinforcing Mozilla’s push for trust and user choice.

⚠️ X safety teams reportedly warned management that Grok’s “undressing” deepfake tools could overwhelm moderation systems, with filters unable to catch millions of newly generated sexualized images of women and children, according to The Washington Post.

📊 Altman claims GPT-5.2-Codex is “the strongest model by far,” but benchmarks show Claude and Gemini remain close competitors, meaning the real advantage may come from speed, interface, and workflow design, not raw model power alone.

🌱 Carbon Robotics launched its Large Plant Model, trained on 150M+ plant images, enabling LaserWeeder robots to identify new weeds instantly. Farmers can mark weeds in real time, eliminating the old 24-hour retraining process entirely.

🎥 xAI released Grok Imagine 1.0, an upgraded video model offering higher resolution, improved audio, and 10-second video generations. The update expands Grok’s creative tools as competition in AI video accelerates.

🧩 Prompt of the Day

How to Map Audience Media Habits Using One Prompt

Turn guesswork about where your audience spends time into a clear platform and content schedule you can act on.

Paste the prompt: Drop this into ChatGPT, then fill in your audience type and the platforms you want to evaluate.

Prompt to paste

Analyze media consumption habits for [Target audience]. List the top platforms they use, the content types they engage with most (video, blogs, podcasts, newsletters), and peak activity times. For each platform, add one placement or scheduling recommendation. Keep it concise, practical, and campaign-ready.

🤳AI Nugget of the Day

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