Grounding before generation.
Every model call is preceded by a check that the inputs are sufficient to produce a defensible output. When the data is thin, the system surfaces what is missing and asks for it rather than generating. We do not let a model write a paragraph about a client's past performance when there is no past performance on file.
Prompts state explicit constraints at the top, not buried at the bottom. Use only the factual data provided. Do not fabricate clients, certifications, dollar values, agencies, or credentials. External inputs are sanitized for prompt-injection patterns and length-limited before they reach the model.
The result is a smaller set of usable outputs, not a larger set of unusable ones.
Verification in layers, not in confidence.
We do not trust any single check. Production work moves through serialized gates. Preflight data collection. Outline review. Section drafting. Compliance verification. Document checks. Final readiness. Each gate has explicit pass and fail criteria.
Failures are tagged with structured codes that distinguish what can be retried from what is terminal. A rate limit is not a billing error. A missing input is not a model failure. The orchestration layer knows the difference and routes each case to the right handler.
The final review is owned by a named human operator even when every prior step ran autonomously. A strong draft does not clear a real blocker.
Autonomy in tiers, with a kill switch.
Autonomous agents we ship operate at one of several tiers, ranging from suggestion-only to full execution. The tier is configured per tenant, visible to administrators, and checked by the policy engine before every action the agent attempts.
A kill switch freezes all agent activity immediately and requires explicit administrative reactivation. Agents track their own accuracy on rolling windows. Precision, false positive rate, calibration. They reduce their own autonomy automatically when those metrics drift below threshold.
We do not ship agents that cannot be paused. We do not ship agents that cannot be measured.
Append-only audit trails.
Every action is logged. Every model call, every tool invocation, every data access. The record carries who, what, when, and from where. Logs are append-only and immutable. Records are never modified after the fact, and retention is measured in years, not days.
Deletions are soft and reversible. Hard deletes do not exist in our schemas. When a regulator, an auditor, or an incident responder asks what happened, the answer is in the record.
Isolation enforced at the layer below the application.
Multi-tenant systems we deliver enforce isolation at the database, not the application. Every query is filtered by tenant identity before it executes. Row-level security policies are written so that a misconfigured route, an injection attack, or a careless join cannot expose data across tenants.
We assume the application has bugs. We design the database to prevent the worst outcomes those bugs could produce.
Type safety at every boundary.
External data is validated against typed schemas before it enters business logic. Public APIs, third-party databases, model outputs, file uploads. Type definitions are audited against the actual shapes the source produces, not the shapes we wish it produced.
When a field typed as a number returns a string, or a field typed as required returns null, the system fails in a controlled way at the boundary rather than corrupting downstream state. The audit itself is a reusable skill, run on every change to a contract with an external system.
Methodology codified, not tribal.
The disciplines above are not held in the heads of senior engineers. They live in operational manuals, one per codebase, that every engineer and every agent must read before changing code.
Recurring verification tasks are codified as reusable skills. Type audits. Bug claim validation. Launch readiness checks. Design system compliance. Session handoff. Each skill is a documented procedure any team member or agent can invoke, with a binary pass-fail outcome.
When methodology lives only in the heads of senior engineers, it stops being methodology.