Codex Sites vs v0, Bolt & Lovable: prompt-to-app
An honest four-way among prompt-to-app builders: Codex Sites hosts inside ChatGPT, while v0, Bolt, and Lovable each deploy and own code differently.
oran.chat blog
Head-to-head looks at the AI tools and models you're choosing between.
An honest four-way among prompt-to-app builders: Codex Sites hosts inside ChatGPT, while v0, Bolt, and Lovable each deploy and own code differently.
An honest head-to-head: Codex Sites is prompt-to-host inside ChatGPT, while Vercel and Netlify are git-to-host production platforms.
Voice finally works: sub-100ms latency and native audio reasoning. A field guide to the AI voice assistants worth talking to in 2026 — and when typing wins.
ChatGPT Atlas, Perplexity Comet, and Dia turn the browser into an agent that clicks and fills forms for you. Which one earns a permanent tab in 2026?
DeepSeek, Qwen, and Llama closed the gap to within 5–15 points of GPT-5.5 and Claude Opus. When the open model is the right call in 2026 — and when it isn't.
Seven multi-model AI chat platforms graded on the same twenty-prompt rubric — model selection, instructions, branching, files, vision, and pricing.
Workflows, prompt patterns, and ways to get more out of every chat.
A start-to-finish tutorial that builds an ops request dashboard in Codex Sites from one prompt, then walks save, review, deploy, and workspace access.
A security-minded guide to Codex Sites access control: every deploy is production, so set the audience before sharing, then widen from owner and admins.
How to give a Codex Sites app durable data and uploads — when to reach for D1, R2, or both, how to ask for it, and where the binding names live.
Where each value belongs in Codex Sites — runtime secrets in the panel, binding names in hosting.json, keys in .env — and why you redeploy after a change.
The difference between save and deploy in Codex Sites, why every deploy is production, and how to use the save step as your review gate.
A practical guide to hosting a project you already have with Codex Sites: the compatibility check, the deploy prompt, hosting.json, and the save-deploy loop.
Where we stand on agency, model choice, and thinking with AI.
The dangerous thing about a language model isn't that it's wrong — it's that it's wrong with total fluency. A short case for keeping your judgment in the loop.
ChatGPT hit 900M weekly users and ~17% of global queries. Google still sends 190× more traffic. A clear-eyed read of whether search is actually dying.
GPT leads with the consensus; Claude more often surfaces the counterargument. Why the point of using more than one model is disagreement, not redundancy.
Vibe coding became a $4.7B habit in 2026 — yet developer trust in AI code fell to 29%. What the gap between describing and knowing really costs.
Why bundling chat, voice, image-gen, browsing, and agents into one product makes each one worse — and what to use instead.
Some questions are worse for having been asked of an AI at all. A short list of categories where the human answer beats the model answer reliably.