Your sources, with permissions
Validate an AI product around a real user problem with a testable first release.
Generative AI applications and MVPs
Turn your AI idea into something users can try.
Validate an AI product around a real user problem with a testable first release.
Project valueQuoted to scopeNo payment before scope agreement
DeliveryAgreed with your quoteScoped after discovery; after brief, access and approvals
Your first milestoneDefine the taskA useful review point before the next stage
Helpful, bounded and inspectable
Evaluation before rollout
The assistant needs more than a prompt. Data access, tool permissions, evaluation examples and escalation rules determine whether it belongs in a real business workflow.
Human approval where it matters
Human review and escalation keep the agreed task connected to the people responsible for it.
In our clients’ words.
“Great Contractor! Simply WONDERFUL!”
“All my questions and concerns were answered without any hesitation.”
“The work he delivers is of top quality all round.”
WHAT YOU RECEIVE
Your Generative AI applications and MVPs project, clearly defined.
Teams with a repeatable knowledge or operational task and an owner who can review examples and decisions.
MVP scope
The brief defines the exact mvp scope required for generative ai applications and mvps. We show the named output at its review milestone and record any data, access or third-party dependencies before handover.
Working application
The brief defines the exact working application required for generative ai applications and mvps. We show the named output at its review milestone and record any data, access or third-party dependencies before handover.
Evaluation and deployment plan
Run agreed representative cases and record the outcome and remaining limitations. Results identify the tested environment and coverage; they do not imply that every device, attack or future business condition was tested.
Scope and requirements
Prototype behavior is not represented as production reliability without validation.
Any additional work is scoped and priced for your approval.
THE DELIVERY PATH
From your brief to the finished work.
Follow the preparation, review and delivery stages for this service.
Define the task
List inputs, useful outputs, connected tools and actions that need human approval.
Build a testable slice
Review a working interaction with approved sample information.
Evaluate the edge cases
Test unsupported questions, failures and permissions as well as normal requests.
Release with oversight
Document usage costs, ownership, monitoring and escalation responsibilities.
What is included?
Includes MVP scope, Working application and Evaluation and deployment plan. Prototype behavior is not represented as production reliability without validation.
Will the assistant always be correct?
No. We use task-specific evaluations, appropriate citations and human handoffs rather than claiming perfect accuracy.
Can it use confidential business information?
Only through an agreed data-handling and access design. We confirm providers, retention settings and permissions before connecting sensitive sources.
Are model and infrastructure charges included?
Implementation and ongoing usage are different costs. Your proposal identifies model, hosting and third-party subscriptions separately.
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YOUR NEXT LEAP STARTS HERE
Ready to put Generative AI applications and MVPs to work?
Share the change you want to make. We will help turn it into a clear, practical project.