FOR COMPANIES
What should AI do? What should people decide?
We start with the workflow, the existing systems, and the constraints.
Not just a workshop or a recommendation. Choose one workflow, make a working prototype, and evaluate it. A forward-deployed approach: the engineer who understands the work also builds the system.
ONE SCENARIO, THEN A DECISION
A scoped prototype can help decide what to build next. We start by agreeing on a scenario, success criteria and the decisions that stay with a person.
These are independent development examples, not client deployments. Fees, timing and deliverables are agreed individually. Live calls, production use, character and voice rights, data destinations and retention need separate review.
Scoping examples. Fees, timing and deliverables are agreed individually.
Define what the AI collects, what staff confirms, and how an unclear request is handed over.
Agree on inputs and completion criteria, then inspect the draft, revisions and unknowns together.
Build and record one interaction, evaluate the experience and its constraints, then choose the next scope.
Design how people and AI share research, drafting, review, and approval. Prototype workflows with results you can trace.
Workflow map / prototype / evaluation / integration design
Prototype training conversations, voice input, or phone workflows. Include misrecognition, consent, and human handoff in the design.
Conversation design / voice prototype / latency and failure evaluation
Turn an idea into something people can use. Test the experience and its assumptions before deciding what to build next.
Working prototype / UX / evaluation record / next-stage scope
THE PROCESS
Map the workflow, existing systems, data, budget, and constraints.
Agree on success, failure, and where people need to review a result.
Run a prototype against representative examples. Examine quality, cost, and usability.
Decide whether to proceed to a limited deployment, add integrations, or revise the approach.
Fees, timing, and deliverables are agreed after reviewing the requirements. A public demo is not a production guarantee or an SLA. Data destinations, permissions, retention, deletion, and third-party terms are reviewed before using customer data.
QUESTIONS, ANSWERED
Yes. Start with a time-consuming workflow or an experience you want to make. Whether AI is appropriate is part of the discussion.
The stages and operational responsibilities are agreed individually. Authentication, monitoring, recovery, and support requirements come before production acceptance. An unverified prototype is not delivered as production-ready.
Implementation partnerships are welcome. We clarify the technology, division of work, code rights, and data handling.
No. Licenses vary and assets or models may have separate conditions. Genie currently has no project-wide open-source license. Reuse needs a product-specific review.
START A CONVERSATION
An unfinished idea is a good place to start. Tell us about the work, and what you want to try.