Product Lanes
Every AI product gets a dedicated lane with purpose, target user, model strategy, source data plan, interface plan, and release stage.
StretchGPT Foundry
The internal model factory behind our AI products and experiments.
Foundry is where we organize GPTs, agents, model families, datasets, evaluations, training plans, product ideas, and deployment workflows.
Agent Architecture
We define each agent’s role, tools, boundaries, escalation rules, knowledge access, output format, and review requirements.
Dataset Planning
We organize source materials, synthetic examples, prompt libraries, QA cases, labeling rules, and future training data.
Model Evaluation
We compare outputs, track failure patterns, test real workflows, and decide which systems are ready for client or internal use.
Governance
We separate experimental, internal, public, commercial, creative, and high-risk AI lanes so the product ecosystem scales with control.
Deployment Layer
We package AI tools with dashboards, logs, permissions, review queues, API connections, and human oversight points.