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WHITEPAPER

Go from idea to a working prototype before your next sprint ends

Based on Logiciel’s 6-hour AI-First Hackathon: 16+ teams, 12 real MVPs, and one repeatable framework every CTO can use to deliver fast without breaking architecture.

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Go from idea to a working prototype before your next sprint ends

Speed, Quality, Direction. Pick Two? Not Anymore.

The CTO Dilemma

  • Product teams push for quick wins, the board demands visibility, and engineers are already at full load.

  • Most CTOs know the real risk isn’t doing the wrong thing. It’s doing nothing or moving too slowly.

  • Compress weeks of iteration into hours without sacrificing stability or adding tech debt.

Get the 6-Hour MVP Framework

What 16 Teams Built in 6 Hours Changed How We Build Forever

16
Engineering Teams
6
Hours of Development
12
Functional MVPs Shipped

The Experiment That Changed Everything

Logiciel ran an internal AI-First Hackathon to test if real MVPs could ship in under a day.

12 deployable prototypes proved that velocity and reliability can coexist.

From AI-BillDesk to LS Buddy, every project revealed patterns that became the foundation of this playbook.

Learn the Lessons Behind the 6-Hour Framework

A Repeatable Framework for AI-First MVP Delivery

6-Hour Sprint Model

A practical breakdown of problem discovery, AI pairing, build cycles, and evaluation checkpoints.

Tooling Blueprint

The exact AI and infra stack (Cursor, Lovable, N8N, FastAPI) that powers high-velocity MVPs.

CTO’s Sprint Checklist

How to run your own 6-hour MVP workshop with measurable output and zero chaos.

Learn the Lessons Behind the 6 Hour Framework

Get the 6-Hour MVP Framework

Every Week Without a Demo Costs You Momentum

Why This Playbook Matters Now

Traditional MVPs take months AI-First MVPs deliver functional value in hours.

Evaluation loops and guardrails prevent the chaos of “prototype hell.”

This isn’t theory; it’s a proven, data-backed playbook for CTOs who want speed with substance.

Download the Playbook and Run Your First 6-Hour Sprint

Frequently Asked Questions

CTOs, VPs of Engineering, and product technology leaders who need to accelerate MVP delivery cycles without compromising architecture or code quality.
AI tools like Cursor, Lovable, and repository-aware assistants handle boilerplate and architecture scaffolding, allowing engineers to focus on problem logic, evaluation, and delivery.
Most rapid-prototyping advice focuses on UI or proof-of-concepts. This framework ensures the MVP you build can evolve into production-grade code, with built-in evaluation and documentation.
If you can define a clear problem, delegate roles, and access basic sandbox infrastructure, you can run this format. The playbook includes a readiness checklist and scoring system.
It’s a tactical pre-, during-, and post-sprint guide covering setup, guardrail prompts, evaluation tracking, and retro scoring. It turns chaos into repeatable velocity.
A 6-hour MVP execution framework tested across 16 teams and 12 real prototypes. It includes phase-by-phase guidance, AI tool stacks, team roles, and evaluation cycles.
It showed that with the right team setup and AI-augmented workflow, you can build demo-ready MVPs in a single sprint with measurable reliability and clean code.
AI development tools (Cursor, Lovable), infrastructure layers (FastAPI, Express, Laravel), orchestration (N8N), and CI/CD pipelines (GitHub Actions). It’s designed to fit within your existing ecosystem.
Teams typically see 2–3x faster MVP delivery, clearer scope alignment, and 35–50% AI contribution to scaffolding and logic all tracked with evaluation metrics.
You can book a consultation or join a Logiciel 6-Hour MVP Workshop. In 72 hours, we’ll help you identify your best use case, prep your environment, and run your first AI-driven sprint.