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Tibo Sottiaux, head of ChatGPT and Codex at OpenAI, predicts that agents will handle most internet actions soon, the model picker will disappear, and people should build assuming models will be 10x better in a year. He also argues that complex agent architectures are a passing phase and that taste—understanding users and knowing what good looks like—will matter more than technical skills like typing speed.
- Agents will soon take most actions on the internet, forcing every product team to decide whether to build for them; Notion's MCP server launch caused system strain and forced economic rethinking.
- Models will improve at "incredible" rates in speed and cost over the next year, so builders should design as if today's capabilities are 10x worse than what's coming, not optimize for the present.
- Complex agent loops and graph architectures are a temporary solution—as models get better, larger single agents can handle what previously required teams, making intricate setups obsolete.
- The OpenAI plugin ecosystem could be a major opportunity: plugins get revenue share when users spend tokens, and ChatGPT recommends them to 1.2 billion users based on retention and quality.
QuickReset AI tracks OpenAI's public Codex usage resets by monitoring Tibo's announcements and historical patterns, letting you see when resets happen and get email alerts before your allowance refreshes. It separates confirmed schedules, public signals, and historical forecasts so you can plan around rate limit resets without guessing.
- Tracks 26 weeks of Codex reset history with source-linked announcements from @tibo, showing direct resets (immediate refills) and banked resets (saved credits) separately
- Generates a daily forecast based on recent reset intervals and public signals, currently showing 35% chance for the next reset
- Sends email alerts when resets approach so you can use remaining allowance before limits refresh
- Only reports public bonus events and cannot trigger, grant, or sell resets — forecasts are estimates, not guarantees