Consumer AI product development
We build consumer products where AI is the core of the experience, not a feature on the side. Our case here is a consumer AI wearable startup, under NDA, for whom we built real-time audio streaming from the device to the cloud and a business intelligence platform, from December 2024 to February 2026. A typical consumer AI first version is a standard mobile app at $19,000 with one AI feature at $4,500, and often a device or service integration at $3,000. This page covers the typical first version, the price range, the privacy and consent points that matter when AI listens, watches, or reads, and how we keep running costs under control.
Relevant work
- Consumer AI wearable, under NDA. Real-time audio streaming from a wearable through a mobile app to the cloud, plus a BI platform for the team. We cannot name the company.
- Fitzee: LLM features inside a fitness app with 200,000 registered users.
- N3XUS Social: an AI-native content platform.
The typical first version
- A mobile app with onboarding that explains what the AI does and asks for permissions clearly.
- One AI job done very well: transcribe and summarize, coach, answer, or create.
- Streaming or upload of audio, images, or text, with progress and retry.
- A history users can search, edit, and delete.
- Subscriptions with usage limits per plan.
- Cost and quality dashboards for your team.
Native Swift and Kotlin are sometimes needed for real-time audio or Bluetooth hardware, which moves the build toward large.
Compliance and privacy notes
- Consent for recording. Many US states require all parties to consent to audio recording. Products that listen need clear consent flows and visible recording indicators.
- Biometric data. Voiceprints and face data fall under laws such as Illinois BIPA. We avoid storing them unless essential and get written consent when we must.
- COPPA. AI products used by children under 13 need parental consent and strict data limits.
- Model provider terms. We use plans that do not train on user data and list every sub-processor.
- App store AI rules. Apple and Google require disclosure of AI-generated content and reporting tools for harmful output.
Keeping AI costs under control
Consumer AI can be ruined by its own bill: every user is a running cost. We set per-user limits by plan, cache repeated work, use the smallest model that meets the quality bar, and move steady workloads to cheaper models once the product settles. Your team sees cost per active user from the first week.
How we work
Every first version starts with a signed plan listing every screen and workflow, then a clickable design you approve on your phone, then the build, then launch. You get a written weekly plan, a daily update, and a demo every Friday. You pay in four equal milestones tied to those stages, and you own the code and the cloud accounts from day one. After launch, a care plan from $1,000 a month or a dedicated engineer at $8,500 a month keeps the product moving.
What we leave for later
The fastest way to a consumer AI product that earns its keep is a first version that does fewer things well. These are the items we usually move to after launch, once real usage shows they matter:
- A general chat assistant
- Fine-tuned or self-hosted models
- Voice cloning and avatars
- Social sharing features
- Web app alongside mobile
Each one is a fixed-price addition later. Leaving them out keeps the first version inside the range above, shortens the time to launch, and means you spend on what customers actually ask for.
Timeline and team
A lean first version ships in about 5 weeks, standard in about 8, and large in about 12. A typical team is a product designer, two or three engineers, and a delivery lead you talk to every day, with a senior engineer reviewing every change. You see the work every Friday, and you can stop after any milestone with the code and designs in your hands.
Questions founders ask
How much does a consumer AI app cost?
Most first versions run $19,000 to $30,000 on mobile, plus $4,500 per AI feature and integrations as needed.
Can you build for hardware devices?
Yes. We built real-time audio streaming for an AI wearable, under NDA.
How do you handle recording consent?
With explicit consent flows, visible recording indicators, and settings to delete recordings.
What will the AI cost to run?
It depends on usage. We estimate it per active user before build and set limits by plan.
How fast can we start?
Usually within two weeks of a signed plan. The first week is design, and you see screens by the end of it.
Can you work alongside our own engineers?
Yes. Many clients keep an in-house lead and add our engineers to the same repository, stand-ups and review process. We follow your conventions, document what we build, and hand over cleanly whenever you want to take a piece of work in house.
Do you sign an NDA before the first call?
Yes, on request. Several of our clients, including a consumer AI company, work with us under NDA, and we never show their work without written permission.
What happens after launch?
Most clients move to a care plan from $1,000 a month for fixes and small features, or keep one or two dedicated engineers at $8,500 a month each.
The Idea Lab turns a two-sentence idea into a build plan: why it could work, what to get right first, the first version worth building and its price. Two minutes, from our published rates.