05Buildlive demo
From idea to production in 14 days.
MVPs, internal tools, RAG assistants, AI inside your CRM.
Lotus Libre Build
AI software, from idea to production in 14 days.
Fixed price, code in your repository from day one, security checks and quality evaluation built into the process. Between do-it-yourself app builders and six-figure integrators.
01The problem
Prototypes are easy. Production is not.
App builders get you a demo in an afternoon. Then come authentication, data rules, integrations, costs and security — where most AI-built apps quietly break.
170 / 1,645
apps built on one popular AI builder exposed user data because database access rules were switched off.The Next Web (opens in a new tab)
19.7%
of packages suggested by code models do not exist — an open door for supply-chain attacks.Cloud Security Alliance (opens in a new tab)
40–60%
of a RAG project’s budget goes into integrations, not the model.ment.tech (opens in a new tab)
02What we build
Software that survives contact with users.
01
MVP Sprint · 14 days
One core user journey, an AI feature, authentication, payments and deployment — with a 30-day warranty.
02
MVP Launch · 4–6 weeks
Three to six user journeys, admin panel, analytics and an evaluation set for the AI parts.
03
Internal tools & dashboards
Replace the spreadsheet: ops panels, approvals and dashboards with a natural-language layer.
04
RAG assistants
Assistants over your documents with citations, access control and an evaluation set — in a widget, Slack, Teams or Telegram.
05
AI inside your CRM
Lead scoring, call summaries and deal automation in HubSpot, Salesforce, amoCRM or Bitrix24.
06
App rescue audit
A 3–5 day review of an app built with AI tools: database rules, authorization, secrets, dependencies and a fix plan.
03How it works
Watch an app assemble itself.
Each line of code lights up a piece of the product — the rhythm of a real sprint, compressed into seconds.
Scope
One page of scope and a fixed price, signed before we write code.
Build
Daily commits to your repository; staging URL by day five.
Check
Static analysis, dependency and secret scanning, access-rule audit, AI evaluations.
Ship
Production deploy, handover pack, warranty period.
04Packages & prices
Fixed scope. Fixed price.
MVP Sprint
from €7,500
14 days
30-day warranty- One core user journey
- AI feature, auth, payments
- Production deployment
- Security and evaluation report
MVP Launch
from €18,000
4–6 weeks
60-day warranty- 3–6 user journeys
- Admin panel and analytics
- Evaluation harness
- Cost monitoring
RAG Assistant
from €7,000
Starter
Business tier from €15,000- Up to 3 sources (Starter)
- Citations and access control
- Widget, Slack, Teams or Telegram
- Evaluation set
Discovery Sprint
from €2,000
5 days
Credited to the project- Process map
- Three scenarios with ROI
- Clickable prototype
- Fixed-price estimate
Also available: internal tools from €6,000, AI in CRM from €8,000, app rescue audit from €1,200. Work outside the agreed scope from €70/hour. Prices exclude VAT.
05Timeline
Fourteen days, in the open.
- Day 0
Scope signed
Journey, data, integrations, price.
- Day 5
Staging live
Clickable, on real infrastructure.
- Day 10
Feature complete
AI feature, payments, admin.
- Day 14
Production
Deploy, reports, handover.
06FAQ
Frequently asked questions
Can you really ship an MVP in 14 days?
Yes, when the scope is one core user journey. We fix that scope on one page before we start, show you a staging version by day five and deploy to production by day fourteen. Bigger products go into the 4–6 week Launch package.
Who owns the code?
You do, from the first commit — it lives in your repository. At handover you get documentation, environment setup and everything needed to continue without us.
How do you keep AI-written code secure?
Senior review on every change, plus automated static analysis, dependency and secret scanning in CI, a check that every suggested package really exists, and an audit of database access rules before release.
What if we already built something with an AI app builder?
Book the rescue audit: in 3–5 days we review database rules, authorization, secrets and dependencies and give you a prioritised fix plan — then we can fix it or harden it with you.
Which stack do you use?
Usually TypeScript, React or Next.js, PostgreSQL and the model providers that fit your data rules. If you have an existing stack, we work in it.
07Insights
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