Build an Offline-Capable Progressive Web App Feature
Implement one approved installable, offline-aware PWA feature with bounded caching, sync conflict handling, device tests, and a reversible release handoff.
Searchable AI prompt library
Structured instructions for completing individual tasks with an AI tool. Filter by outcome, category, tool, difficulty or keyword.
Open a Prompt to copy its instructions, run supported Prompts privately in Workplace, or prepare a task for Codex where available. Copying text does not run the Prompt.
Implement one approved installable, offline-aware PWA feature with bounded caching, sync conflict handling, device tests, and a reversible release handoff.
Implement an approved RAG knowledge assistant with entitlement-safe ingestion, traceable citations, abstention, evaluation evidence, and a reversible release handoff.
Implement one approved catalog-to-order journey using hosted checkout in a payment sandbox, with server-verified prices, signed webhooks, order-state integrity, reconciliation, and disabled fulfilment.
Implement one approved booking journey with explicit states, capacity invariants, transactional conflict prevention, timezone handling, sandboxed integrations, recovery, and concurrency evidence.
Implement one approved multi-tenant application journey with server-side tenant isolation across authorization, persistence, jobs, caches, storage, search, exports, tests, and rollback.
Implement a bounded AI-assisted support-triage integration in a sandbox or shadow environment, with abstention, grounded drafting, routing, injection tests, manual fallback, and disablement evidence.
Convert an approved n8n blueprint into a disabled importable workflow or staging implementation, with node-level traceability, synthetic execution evidence, retry tests, and rollback instructions.
Implement a repeatable KPI-reporting process from approved metric definitions, with traceable calculations, authoritative reconciliation, failure and rerun tests, disabled delivery, and recovery evidence.
Implement and verify CRM lead capture, consent, deduplication, qualification, routing, and SLA behavior in an authorized sandbox using synthetic test leads and disabled production activation.
Implement an internal operations dashboard from approved metric contracts, with source reconciliation, enforced access rules, observable data states, performance evidence, and a reversible release handoff.
Reconcile teaching, research and administrative AI initiatives against mission outcomes, cost, risk, duplication, inclusion and evidence quality for a bounded portfolio decision.
Compare a programme with dated primary standards, credible research and labour evidence to separate durable AI competencies from short-lived vendor fashion.