Cryptic Developers
Expertise

Artificial Intelligence

Useful AI starts with a bounded task, a trustworthy information source and a way to recognise failure. We connect model behaviour to an application contract, with evaluation and human review proportionate to the decision being made.

Explore the architecture

Approved sources

Restrict ingestion to material approved for the intended audience; keep confidential stores outside public retrieval.

Conceptual architecture. Select a component to inspect its responsibility.

Engineering activities

Intelligence with a clear purpose.

  1. Define tasks, source permissions and evaluation examples before selecting a model.
  2. Build retrieval and structured outputs around approved information and explicit action schemas.
  3. Measure failure cases, latency and operating cost, with escalation when the model cannot establish an answer.

Technical focus

Generative AI · Retrieval-augmented generation · Workflow automation · Model evaluation

Trust boundaries

Security and integration.

Prompt instructions support behaviour but are not access controls. Authorisation, action allowlists, input limits and cost accounting must run outside the model.

Where this applies

Knowledge-intensive operations · Enterprise service teams · Document workflows

Related experience.

This capability is presented as an engineering approach. No specific corporate delivery is asserted without an approved project brief.

Applied architecture

Related solution approaches.