AI feasibility prototype
You have one specific task and want to find out whether AI can perform it usefully and consistently.
Budget guide: US$950–2,280. I will quote the agreed scope after checking fit. This range is an indication, not a fixed price or a ceiling.
Is this for you?
You have one task you think AI could do, and you want to know if it can do it well enough to trust, before you spend on a full rollout.
This is a good fit if
- You have one specific, repeated task in mind
- You can share real examples of good and bad results
- You want a tested answer, not a demo
- You care about cost, accuracy and privacy
It is probably not the right fit if
- You want a general AI strategy
- The task has no clear right answer to test against
- You need a finished product for customers straight away
What you walk away with
- A small working prototype on your real examples
- Accuracy, cost and risk measured against a test set
- A clear yes, no or not yet, with the reasons
Scope, timing and what is included
When this is useful
This is useful when you are considering a larger AI investment and need measured examples to decide whether it can meet one task’s requirements. A standard assistant, simple rule or small manual trial may answer the question without a custom prototype.
What you receive
Build one prototype using one model provider and a finite set of supplied examples; evaluate it against agreed criteria with human review; report costs, errors and a go-or-no-go recommendation.
You have measured results against the agreed examples and a clear decision about further investment.
What I need to begin
Representative examples you are permitted to use, the desired output and a person who can judge its quality.
Allow 5–15 business days after the required access and inputs are ready. I’ll confirm fit and the start date before payment.
Scope and expectations
This is a prototype. Production security, deployment, integrations and ongoing operation are separate scopes.
The useful result may be that rules, a simpler tool or a manual process is more suitable. A demonstration alone does not establish reliability.