Practical AI and LLM Integration
AI that cuts real work - no chatbot theater.
AI that reduces real work, not a chatbot bolted on for the press release. I add LLM features where they save time, keep a human in the loop where judgment matters, and make sure you can explain what it does and turn it off.
Who this is for
Owners who want AI to save hours on drafting, classification, or extraction - not a demo that impresses investors but annoys staff.
Sound familiar?
- Vendor demos look magic; production outputs are wrong often enough to distrust them.
- Nobody can explain what the AI feature actually does to a customer.
- You cannot turn it off quickly when it misbehaves.
What you get
- LLM features with clear inputs, outputs, and review steps where needed.
- Guardrails tied to your data - not generic prompts copied from a blog post.
- A feature you own: documented, measurable, and switchable.
Deliverables
- LLM API integration (drafting, summarizing, classification, extraction)
- Human-in-the-loop review for customer-facing outputs
- Prompt design and guardrails for your domain
- Monitoring for quality drift and cost
- Straight answer when AI is not the right tool
How I work
- Start from the task that eats hours - not from "we should use AI."
- Prototype on real (redacted) samples before wiring into production.
- Ship with an off switch and success metrics you can check weekly.