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Blog

Research, product notes & field reports

We benchmarked four production fine-tuned models against Claude Opus 5.5, Claude Fable 5.1, GPT-6 Astra and GPT-6.1 Sol on held-out customer tasks. Accuracy, cost, latency and fallback rate.

Research
October 14, 2026
Fine-tuned open models vs Opus 5.5 and GPT-6 Astra: what we measured
Applied Crew researcher reviewing benchmark results on a laptop
Hand writing notes in an open notebook
Applied Crew
Product
October 9, 2026
How BackContext turns agent sessions into training data
Analyst working through cost figures on a laptop
Applied Crew
Company
October 2, 2026
The real cost per task of frontier models in 2026
Team discussing evaluation results around a table
Applied Crew
Research
September 25, 2026
Why your evals should be built from your own outcomes
Engineer working on a deployment from a laptop
Applied Crew
Product
September 18, 2026
Running fine-tuned models in your own VPC
Applied Crew engineer working alongside a customer team
Applied Crew
Company
September 10, 2026
Forward-deployed engineering, explained

Your own model, trained on your work, in production in weeks

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Applied CrewOakland, California

We train AI models on how your company works, and keep them improving.

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