LLM Feature Integration
Most useful AI features are small and specific: summarise this thread, tag this ticket, pull the fields out of this invoice. I add them to your existing product in a way that is reliable, fast enough and affordable to run.
That means choosing the right model for each job, structuring prompts and outputs so they can be trusted, and handling the cases where the model is slow, wrong or unavailable.
Scope
What is included
Everything below is handled by one person, so nothing gets lost between teams.
- 01
Feature scoping: what AI should and should not do in your product
- 02
Prompt design with structured, validated outputs
- 03
Model selection and cost estimates per request
- 04
Streaming responses and loading states in the interface
- 05
Fallbacks, retries and rate-limit handling
- 06
Caching and usage limits to control spend
- 07
Evaluation set to compare changes before they ship
Fit
Who this is for
If one of these sounds like you, we will probably work well together.
- 1
Product teams adding a first AI feature
- 2
Companies automating reading, tagging or summarising work
- 3
Founders who need AI to be a dependable feature, not a demo
Process
How a project runs
- 01
Brief
We talk through your goals, audience and scope so we both know what success looks like.
- 02
Proposal
You get a clear scope, timeline and price before any work starts. No surprises later.
- 03
Build
I build in short cycles and share working previews, so you can steer as it takes shape.
- 04
Launch & Support
I deploy, test on real devices, and stay available after launch for fixes and improvements.
Reviews
What clients say
Had a great experience with their web development services. They understood my requirements perfectly and delivered exactly what I needed. Highly recommended!
Cindy CurtisGoogle review Really liked working with them. Easy to communicate with, understood what I needed, and did a great job with the management system. Highly recommended!
Saba NaazGoogle review Great team to work with. Recommended!
Varun MandalGoogle review
FAQ
Frequently asked questions
Common questions about llm feature integration.
I work with the major providers, including OpenAI and Anthropic. The choice depends on quality, speed, price and your data requirements for the specific feature.
By picking the smallest model that does the job, caching repeat work, limiting usage per user and measuring cost per request from the first day.
Yes. Most AI features sit behind a small service or API route, so they can be added without restructuring the rest of the product.
Have a project in mind?
Tell me what you want to build. I reply with questions, a rough timeline and the next steps.
Replies within 1 to 2 business days.
Keep exploring
