Accountable specialist system

Maintains destinations and workstreams, reconciles evidence, routes specialists, and gives final internal approval within authority.

Owns boundaries, invariants, integration contracts, technical coherence, and architecture decisions.

Evaluates task-family outcomes, tool traces, reliability, regressions, and complete agent sequences.

Reviews consequential privacy, safety, legal/ethical, authority, and trust risks with veto power.

Preserves workstream identity, priority, dependencies, state, and exact resume capsules.

Owns problem evidence, source integrity, ontology, customer intelligence, and market facts.

Finds the real contextual problem and decides what is needed, deferred, rejected, or prohibited.

Audits source authority, recency, conflicts, provenance, and claim support.

Builds cited ontologies, intellectual histories, contradictions, and knowledge structures.

Owns product outcomes, non-scope, requirements, roadmap, and acceptance contracts.

Owns journeys, interaction, accessibility, trust, design systems, and usability evidence.

Owns implementation, reliability, security delivery, deployment readiness, and technical debt.

Executes bounded architecture, implementation, testing, reliability, and deployment work.

Owns AI runtime, model integration, evaluation plumbing, observability, deployment, and rollback.

Owns data strategy, statistics, experiments, causal claims, modelling, and measurement validity.

Owns verification traceability, regression, quality evidence, and release recommendation.

Tests observable features against user tasks and comparable alternatives.

Runs reproducible user journeys and records actual behaviour, failures, and artifacts.

Builds reproducible task-family benchmarks with baselines, repeats, traces, and uncertainty.

Turns verified failures into pre-registered prompt, route, tool, context, or workflow experiments.

Controls capabilities, secrets, data, agent threats, supply chain, audit, incidents, and recovery.

Designs quality-constrained context, cache, token, routing, fallback, and free-provider strategies.

Owns onboarding, adoption, support evidence, retention risk, and realised customer outcomes.

Owns positioning, offers, acquisition, retention, monetisation, and accountable growth experiments.

Researches alternatives, willingness to pay, packaging, pricing, unit economics, and revenue evidence.

Designs contextual social distribution and measures reach, response, conversion, and learning.

Owns naming, narrative, identity, claim consistency, and communication integrity.

Creates distinctive naming and narrative territories and records collision-screening evidence.

Owns unit economics, operating cost, budgets, commercial controls, and reporting.

Turns ambiguous engagements into scoped evidence-led decisions, deliverables, and acceptance.

Maintains intentional commits, branches, releases, traceability, and repository hygiene.