Methodology

AI-first, not AI-only

AI generates code. Senior experts own the process. You get production systems.

Philosophy

T1K = Tänk Tusen

Before you can scale to production, you must think first.

One person delivering value to a thousand customers isn't magic — it's the result of thinking ahead: How does this work at scale? What breaks at 1,000 users? Where are the bottlenecks?

You have to drown in data before you can structure it.

T1K
Tänk Tusen
Work process

How we work

1

Voice to requirements

Tell us what you need — in a normal conversation, not a document. Voice captures tone, intention, and unspoken requirements that written specs miss. AI analyzes and structures into production-ready requirements. Same principle regardless of domain: from a 3-minute voice recording to an AI chatbot for healthcare, or a 15-minute phone call to a complete website (behindbars.se).

2

AI generation

AI generates code based on requirements. 500+ iterations of refinement deliver optimal results.

3

Process ownership

Experienced developers own the process, steer AI generation, and take responsibility for production-ready code.

4

Production

Deployment to your environment or our infrastructure. Databases, security, scaling — all included.

Quality assurance

Lovable vs T1K

Both approaches put in 100% effort. The difference is what the effort is built on — and what reaches production.

Lovable / Vibe coding

Starts with the interface
80% UI, 20% data
Prototype that rarely reaches production
No one responsible for architecture

T1K Production

Starts with data models and business logic
80% backend, 20% visual
Production system from day one
Senior expert owns the process
Lovable / Vibe coding
80% UI
20%
T1K Production
80% Data
20%

80% backend + 20% visual = 100% production

Stack

Our infrastructure

We own the entire stack. No dependency on third-party services.

Technical infrastructure

  • Local GPU — AI models run without external dependencies
  • LLM Server — Central processing for all AI services
  • Swedish hosting — GDPR-compliant data handling
  • Own deployment — Full control over production

Methodological infrastructure

  • 14 production skills — Reusable skills distributed via git — inherited architecture
  • "Simple language" — Documentation everyone understands
  • 500+ iterations — Proven refinement process
  • Templates & use cases — Code templates and deployable examples for quick start
  • Automatic documentation — Changelog in real-time
  • Daily decisions — Fast feedback loop

Dive deeper into the methodology

Our documentation describes the AI-first approach in detail.

Read the documentation