Product interface
Build the workspace where users submit tasks and review results.
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AI companies
Build the app around your AI capability.
Connect models, customer data and product interfaces. Define what a useful answer looks like, how much each task can cost and when the workflow needs a human decision.
For founders turning an AI workflow into a usable product.
Discuss your AI product ↗Work directly with Paul · Scope agreed before implementation
Illustrative workflow
01
User task
02
Model + tools
03
Reviewed result
What you get.
A defined deliverable at every stepModel connections
Connect the selected provider and document its role in the workflow.
Usage controls
Scope limits, timeouts and visibility into usage costs.
Quality checks
Test representative inputs and decide how to handle weak results.
Delivery
Small steps.
Visible progress.
- 01Share the brief
- 02Agree the scope
- 03Build & review
Pricing follows the scope. Existing code, integrations, content and release requirements affect the estimate. You’ll see deliverables, milestones and third-party costs before committing.
Useful answers.
Do you train foundation models?
This offer focuses on building products around available models and services. Model training needs a separate assessment.
Can we change model providers later?
We can isolate the provider connection where practical. Provider-specific features may still require changes.
Can you guarantee correct outputs?
No. We define evaluation examples, limitations and human review for the use case.
Your next step
Have a project
in mind?
Share what you need, what already exists and your timing. I’ll reply personally within one business day.
paul@forward-growth.com