Lean by design
Efficiency.
AI work should cost what it is worth. We cut token and compute spend without cutting capability — fewer tokens in, better answers out, and every model choice made on purpose.
Context Distillation
Only the signal reaches the model. Documents, tables and chat history are compressed into the smallest context that still answers the question — so you pay for what matters.
On-Island Inference
Most work doesn't need a frontier API. Open-weight models run on hardware you already own, so routine volume is generated on your own floor at the cost of the electricity — and nothing leaves the island.
Right Model, Right Task
Every task is matched to the model that fits it. Small, fast open-weight models take the routine volume; frontier models are called only when a task genuinely needs them, and every hand-off is logged and reviewable.
Cache & Reuse
Answers worth keeping are kept. Embeddings, tool calls and repeat questions are served from your island's cache instead of being recomputed on every run.
Token Budgets
Every agent runs with a ceiling you set — per task, per team, per day. Spend never outruns the plan, and overruns surface before they reach the bill.
Every run accounted for
Tokens in, tokens out, models used and time taken are logged for every agent run — so you can see exactly what each task cost, and where the next saving sits.
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