AI Weekly: Inside the Agent Loop — January 27 - February 2, 2026
Weekly roundup covering OpenAI's Codex agent internals, Google's Agentic Vision, and enterprise AI productivity case studies.
OpenAI revealed how Codex's agent loop works internally—the model takes input, generates responses or tool calls, executes them, appends output, and repeats. Key challenges include quadratic prompt growth and stateless requests. Google added Agentic Vision to Gemini 3 Flash, allowing models to actively investigate images with 5-10% quality improvements. A national wholesaler case study showed real AI productivity gains over a 7-year transformation. Understanding how AI agents work internally leads to better outcomes.
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