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- 1 Engineering deep dives. The actual patterns we use to ship multi-agent systems, distill expensive inference, and instrument every operation.
- 2 Case studies. Real systems with real numbers. What worked, what we measured, and what we would do differently.
- 3 Product updates. Cohort openings, feature drops, and pricing changes for early-access members. Always before they hit the public site.
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Read before you subscribe
The newsletter is for engineers running AI in production and teams evaluating their next AI investment. These articles show the level of detail and the kinds of decisions we cover:
- AI cost optimization: why inference bills grow after launch, and where distillation, prompt compression, and model routing can help.
- Multi-agent architecture patterns: how specialized agents coordinate, and the trade-offs behind different production designs.
- Evaluating large language models for production: how to assess models against your own data and quality criteria.
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