How we build apps that have to be right.
The rules every build follows, from the first prototype to the monthly team, and the guardrails we added after real client work.
Six rules
Prototype before code
A clickable prototype in the first week, so you see the app before you pay for the build.
One codebase where it fits
Expo for a new mobile app, Capacitor when a web app already exists, and native code only where the device demands it.
AI-assisted, reviewed by people
Every codebase has a written context file so any engineer or AI assistant can pick it up, and every change is reviewed and tested.
People approve what the AI writes
A visit note is reviewed before it is saved. A support reply stays a draft until a person sends it.
Security from the first phase
Locked-down API access, working consent links, data kept in your region, and an ISO 27001 and GDPR checklist.
A backup model, said out loud
Each AI feature names its model and a fallback, and the app tells the user when the fallback answered.
Small first, then bigger.
Every step ends in something you can use or decide on. Prices are on the pricing page.
Scoping call
The problem, the users and the data.
- Time
- 30 minutes
- Ends with
- A written next step
AI blueprint
Requirements, prototype, architecture, estimate.
- Time
- 1 to 2 weeks
- Ends with
- A plan you own
Pilot
One feature on your data, measured.
- Time
- 4 to 6 weeks a module
- Ends with
- A go or stop
Version 1
Released to users or the stores.
- Time
- 5 to 6 weeks a web phase
- Ends with
- A live app
Run and grow
Fixes, features, releases, security.
- Time
- Monthly
- Ends with
- A report every month
Four guardrails we now use everywhere.
Each one came out of a client build, where a mistake would have cost a clinician or a project team real time.
- Read-only access to code
- Tools that look at your codebase, such as bug escalation, can read it and never write to it.
- Drafts before anything is sent
- Replies, notes and records stay drafts until a person approves them.
- Confidence checked against outcomes
- When the AI says it is sure, we check that against what people later corrected, and move the bar if it drifts.
- Data in your region
- Data stays where your rules say. The clinical app we run for Tibra Health keeps its data in the EU.
Checked before launch, not after.
Every build runs the same checklist, and both client platforms have had a security review.
Access control, consent, where data lives, logging, backups and who can see what. Run on every build before version 1 ships.
An ISO 27001 and GDPR review for Parallel Completions, and a security brief for Tibra Health's clinical AI app.