AI Architecture

Architecture for AI-powered products, agents, and intelligent workflows - deciding where models earn their place, how they connect to data and tools, and how probabilistic behavior stays reliable in production.

The core question I answer is which decisions a system can safely delegate to a model, which need explicit rules, where a human must stay in the loop, and how the system recovers when a model cannot complete a task confidently.

What you get

• AI architecture document with system and data-flow diagrams
• Model and provider recommendations, with routing and fallback design
• Single-agent, multi-agent, and human-in-the-loop workflow definitions
• Schema-constrained outputs and structured data contracts
• Retrieval and knowledge architecture so answers stay grounded
• Evaluation plan, success criteria, and regression testing approach
• Observability, cost and latency budgets, and failure-recovery design
• Guardrails, access control, and prompt-injection mitigation

How I work

1. Frame the problem - what the system must do, for whom, and what reliability actually matters.
2. Set boundaries - split probabilistic AI from deterministic logic; define where humans review, approve, or escalate.
3. Design the flow - map data, tools, interfaces, memory, and context across the system.
4. De-risk - prototype the uncertain parts and set a phased path from prototype to production.

When this fits

• Designing an AI-native product from the ground up
• Adding AI capabilities to an established application
• Turning a manual process into an AI-assisted workflow
• Taking an early prototype toward production
• Reducing AI cost, latency, or operational risk
• Choosing models, providers, frameworks, or infrastructure

What this doesn't cover

• Model fine-tuning or hosted training runs
• Implementing features after the architecture is locked

Outcome: a production-oriented AI architecture that connects intelligence to real product requirements - with reliability, security, cost, and maintenance designed in from the start.