Initial development
The agreed design, development, integrations, and launch work. We scope a useful first version before adding more.
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Applied AI
AI with a person in charge.
We put AI to work on specific jobs inside your business, with your team approving what matters, and we scope the cost before anything is built.
We start with a 15-minute conversation. Any paid work needs your written approval.
An illustrative journey, not a client’s workflow.
- 01Approved information
- 02Suggested answer
- 03Human review
Is this a fit?
When AI can help with a specific, bounded job
- Questions your team answers again and again
- Documents that need reading, sorting, or summarizing
- Reaching people in another language
What you receive
A clear scope. A useful delivery.
We agree on the deliverables before development begins. Your proposal defines the exact scope.
- 01
A defined task, approved information sources, and clear limits on what the assistant can do.
- 02
An experience with review, fallback, and an easy route to a person.
- 03
Evaluation of representative tasks and an agreed usage budget before rollout.
Work you can explore
Try Spark here. Explore Veravox, our live translation product.
See Veravox, our live translation productVeravox One speaker. More people included.
English
Welcome. We’re glad you’re here.
Español
Bienvenidos. Nos alegra que estén aquí.
Our own demonstrations
Explore the experience before we talk.
Meet Spark on this website, try our fictional inquiry workflow, or adjust the illustrative automation estimate. These examples show our thinking without exposing a client’s internal systems.
Explore the workflow →Explore the estimate →Plan the investment
Know what shapes the cost.
The task, information sources, model choice, request volume, and the review and evaluation needed.
Ongoing care
Updates, monitoring, backups, and support are scoped separately so you know what is included after launch.
Third-party services
Hosting, domains, licenses, and provider charges are identified in the proposal, including who pays them.
Usage and growth
Traffic, storage, messages, and AI usage can affect running costs. We discuss expected usage and budget controls before launch.
After launch
A handoff your team understands.
Ownership, account access, data export, documentation, and third-party restrictions belong in the agreed scope. We also define who handles updates and how your team gets help.
How it works
Start free. Pay only for what you approve.
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01
Free audit or consultation
We start with a 15-minute conversation about your goals, current tools, and main challenge. No technical brief needed.
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02
Agree on the review
Together, we decide what to review, what information is needed, what you’ll receive, and when.
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03
A clear proposal
If you want to proceed, we put the paid scope, timeline, and price in writing for your approval.
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04
Build, launch, and support
You see working progress along the way. We launch, train your team, and keep it running.
To prepare: share one task or problem, the tools you use, and a public website if you have one. A rough idea is enough.
Questions before you start
Who owns the project?
We agree on ownership, account access, source code, documentation, and handoff in the proposal. Third-party services and licenses retain their own terms. Bring any ownership requirement to the initial conversation so it is explicit before work starts.
What happens after launch?
We agree on who maintains the system, updates content, monitors operation, and handles incidents. Ongoing care and provider charges are separate from development. Support coverage and response expectations depend on the agreement; Spark cannot promise a universal service level.
Can you connect our tools?
We first check the tools, available APIs or exports, permissions, usage limits, and any provider charges. A named integration is unconfirmed until we review it. Sometimes an existing connector or a simpler change is enough; we explain the tradeoffs before proposing custom development.
What should we expect from AI?
AI can make mistakes. We define the task, approved sources, review points, fallback, and usage budget before rollout. Consequential decisions stay with a person. A rule, search feature, or existing product may be a better fit. Spark gives reviewed public guidance and cannot approve scope, pricing, or a booking.
How much will it cost, and how long will it take?
Scope comes before a quote or delivery date. We review the first useful version, integrations, content or data preparation, and operating needs. Development, ongoing care, and provider or usage charges are explained separately. The free audit or consultation starts with a 15-minute conversation; review scope and timing are agreed afterward. Paid work needs your written approval.
Let’s find a useful starting point.
Tell us what you want to improve or create. We start with a 15-minute conversation, then agree on any review scope and timing together.
We start with a 15-minute conversation. Any paid work needs your written approval.
Prefer email? contact@ai-prodigy.com