TayX is GCAP's trained and fine-tuned model layer.
TayX is separate from Headmaster. Headmaster is the product and orchestration layer; TayX is GCAP's own tuned model option for agentic work, coding, research, long-context reasoning, and tool-heavy workflows.
Model-agnostic product. GCAP-tuned model option.
Headmaster can route work across cloud models, coding models, local models, enterprise endpoints, custom endpoints, and TayX. TayX does not replace that model-agnostic relationship.
TayX gives GCAP a trained and fine-tuned model layer for workflows where GCAP's tuning, evaluation, and product context are the best fit. No benchmark claims are made here without verified proof.
Tuned for the work agents actually do.
Agentic workflows
Designed for planning, tool use, delegation, and multi-step execution across Headmaster workflows.
Coding and review
Trained for code understanding, generation, review, documentation, and technical reasoning tasks.
Long-context reasoning
Optimized for work that spans large documents, project history, threads, and structured workspace context.
Tool-heavy work
Fine-tuned for workflows that move through files, browsers, calendars, connected systems, and approvals.
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