The tools behind connected systems.

Claude models for code, analysis and structured reasoning, used interactively and through the Anthropic API.

Experience: AI-assisted development (including this website), workflow analysis, documentation and drafting.

Works with: Code editors, Docs, REST APIs

GPT models for drafting and research, and for assistants that call defined functions.

Experience: Drafting, research, prompt design and planning for marketing and product work.

Connecting language models to external APIs, structured business data and controlled tools to execute multi-step tasks.

Experience: Connected language models to app prototypes through Python and REST APIs, in local and hosted modes.

Works with: Python, REST APIs

Instructions and output schemas that make model responses predictable enough for other systems to validate and use.

Experience: Structured prompts for content, classification and assistant behaviour.

Scripting, data handling and AI prototypes. Certified through HCL GUVI.

Works with: Flask, REST APIs

Building and consuming REST endpoints so business systems can exchange data reliably.

Experience: Built and consumed REST endpoints in prototypes.

Integrating model-serving endpoints with applications, workflow engines and business software through authenticated APIs.

Experience: Called local model endpoints from app prototypes; authenticated endpoints for business software are at design stage.

Works with: Ollama API, REST APIs, Python

Exploring Grok-powered agents, xAI integrations and tool-connected workflows for research, analysis and operational automation.

Experience: Testing Grok for research and analysis, and the xAI API for tool-connected prototypes. A Grok subscription and xAI API access are separate: the API has its own keys and usage billing.

Works with: xAI API, REST APIs

Configuring Grok-based bots with defined instructions and connected workflows, separate from direct xAI API integration.

Experience: Configuring bot behaviour and testing how it fits into research and content workflows.

Designing coordinated agent workflows that separate research, execution, validation and human approval responsibilities.

Experience: Role-separated agent workflows designed and documented as blueprints in Build Your Stack. Not yet running for a client.

Automation architectures that combine autonomous task execution with validation, exception handling and human oversight.

Experience: Designing agent workflows with human approval steps, documented as the blueprints in Build Your Stack.

Agents that start from a webhook, a new record or a schedule instead of waiting for someone to open a chat.

Experience: Testing scheduled and event-driven runs for briefing and follow-up workflows.

Deciding what an assistant keeps between sessions, what it retrieves on demand and what it should never store.

Experience: Explored how assistants keep useful context between sessions.

Comparing models on task quality, latency, context length, licence terms and running cost before choosing one for a workflow.

Experience: Comparing hosted and open-weight models on the same prompts during prototyping.

Starting workflows from events in other systems, with signature checks, idempotency and retries.

Experience: Designing event-driven triggers for the Build Your Stack blueprints.

Classifying incoming documents and extracting fields into structured records, with low-confidence results sent to a person.

Experience: Designed as the Document Intake blueprint in Build Your Stack.

Logging each automated step, retrying safe failures, alerting on the rest and keeping an audit trail of who approved what.

Experience: Specified in the error-handling and security sections of every Build Your Stack blueprint.

Approval checkpoints, exception handling and accountable oversight built into automated work.

Experience: Designed into every Build Your Stack blueprint: what the system drafts, who approves it and what gets logged.