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AI integration for practical product features
Add AI where it creates real value, not where it just sounds impressive.
Example: production AI work needs feature design, observability, and cost awareness, not just an API call.
What this service is for
This is for teams that want to add AI features or workflow automation, but need it done with more care than a demo-level integration. I help identify where AI actually fits, wire it into the product, and make sure reliability, cost, and user experience are considered from the start.
Best fit
- • You want to add AI to a real product or workflow, not just bolt on a chatbot.
- • You care about useful outcomes, cost control, and reliability in production.
- • You need help deciding where AI helps, where it does not, and how to integrate it cleanly.
What's included
- • Use-case design - identify where AI adds real value and where standard product logic is better.
- • Integration and implementation - connect model APIs, prompt flows, tools, or internal systems to the product.
- • Reliability and cost controls - add fallbacks, test real inputs, and avoid runaway API usage.
Process
Analyze
Identify the use case, constraints, and what success actually looks like.
Integrate
Connect the model flow to the product, the workflow, and the surrounding systems.
Optimize
Test outputs, improve reliability, and keep cost and latency under control.
Typical use cases
- • Workflow automation for repetitive research, analysis, or internal support tasks.
- • Product features like summarization, extraction, classification, or guided AI assistance.
- • Retrieval or tool-using systems that need practical integration with product logic and user workflows.