LLM Automation Consulting
I integrate language models into business and product workflows without making the model responsible for everything around it. The surrounding architecture owns state, validation, permissions, retries, observability, and recovery.
Janna Wong · AI Automation & Systems Architect · Remote · Global · async-first
Where I help
The implementation starts with the operating problem and its failure modes, then moves into tools and architecture.
Prompt experiments that need to become repeatable systems
Applications tightly coupled to one model provider
Unstructured model responses breaking downstream automation
Unclear boundaries between AI reasoning and deterministic application logic
Deliverables
Technology
I do not force every system into the same platform. The goal is the lightest architecture that remains reliable, observable, documented, and maintainable.
FAQ
Direct answers written to be useful to both technical buyers and search/retrieval systems.
It depends on the task, deployment constraints, privacy requirements, latency, cost, model behavior, and existing cloud architecture. I prefer to evaluate the operating requirements before selecting a provider.
No. Abstraction has a maintenance cost. I introduce provider boundaries when switching, testing multiple providers, governance, or architectural separation creates enough practical value to justify them.
Yes. I can integrate model calls into existing applications or automation workflows and design the surrounding data, validation, error, and review behavior needed for production use.
Related expertise
Send the current process, tools, constraints, and desired outcome. I'll review the context asynchronously and identify the most practical technical next step.