Resolve principal, workspace and purpose
Bind the request to a declared user, organization, discipline and intended outcome.
How LowToHi works
One request becomes one finite, inspectable execution.
LowToHi compiles a task from a larger capability universe. No component can quietly expand its own context, budget or authority.
The execution path
Filter models, sources and operations
Policy removes unauthorized capability before context is assembled.
Compile the minimum sufficient evidence set
Retrieve exact source spans, graph relations, procedures and operational records under explicit budgets.
Choose the smallest sufficient composition
Prefer local capacity, add specialists when useful and escalate only when justified.
Pause before consequential effects
Sensitive, irreversible or high-impact actions remain subject to typed permissions and human approval.
Close with a reconstructable receipt
Record versions, sources, decisions, costs, outputs, failures and executed effects.
Routing is a policy decision, not a benchmark leaderboard.
The best model is the smallest admitted engine that can complete the current task under the required trust boundary.
Local-first
Use local capacity when it satisfies capability, privacy and latency constraints.
Domain or task model
Activate a coding, vision, retrieval or other specialist only for the part it improves.
Frontier on demand
Use remote frontier capability when expected utility exceeds privacy, cost and dependency penalties.
Non-negotiable boundaries
- Authorization filtering precedes context construction.
- Vector similarity is not truth, permission or authority.
- Models, agents, Skills and loops cannot approve their own authority expansion.
- Only declared typed operations may cross the effect boundary.
- Improvement proposals require frozen evaluation and independent admission.
- Benchmark claims remain limited to their dataset, evaluator and runtime version.
IMPROVEMENT LOOP
Every verified run can make the discipline stronger.
Accepted outcomes can enrich memory, graph relations, evaluations and Skills. Proposed improvements remain separate from the authority that admits and deploys them.
Low cost in. High trust out.
Build the intelligence your discipline actually needs.
Explore the product, inspect the evidence and see how LowToHi turns replaceable models into durable professional capability.