---
title: "Sources and method"
canonical_url: https://fremtidenstegnestue.dk/en/knowledge/sources-and-method
markdown_url: https://fremtidenstegnestue.dk/en/knowledge/sources-and-method.md
author: "Fremtidens Tegnestue"
page_type: article
primary_intent: "Explain how FT uses sources, data, AI preparation, uncertainty and architectural responsibility."
primary_keyword: "architecture data sources Denmark"
audience: "Readers and agents that need to understand the source basis behind FT pages."
summary: "FT's AI and B2B pages are based on Danish data layers, industry sources and our own method. We separate source, extraction, interpretation and architectural assessment."
source_basis:
  - "Fremtidens Tegnestue methodology: https://fremtidenstegnestue.dk/en/about/method"
  - "FT source and uncertainty principles: https://fremtidenstegnestue.dk/en/knowledge/sources-and-method"
  - "DAWA: Danmarks Adressers Web API: https://dawadocs.dataforsyningen.dk/"
  - "Datafordeler: BBR: https://datafordeler.dk/dataoversigt/bygnings-og-boligregistret-bbr/bbr/"
  - "Plandata.dk: https://www.opendata.dk/andres-data/plandata-dk"
  - "Energimærkningsdata: https://ens.dk/analyser-og-statistik/energimaerkningsdata"
human_validation: "When sources are sufficient for a preliminary reading and when professional control is required."
responsibility_line: "AI can prepare, compile and flag uncertainty. The architect validates the consequences."
last_reviewed: 2026-06-22
last_updated: 2026-06-22
privacy_url: https://fremtidenstegnestue.dk/en/privacy
related_pages:
  -
    url: https://fremtidenstegnestue.dk/en/about/method
    relation: method
  -
    url: https://fremtidenstegnestue.dk/en/knowledge
    relation: hub
  -
    url: https://fremtidenstegnestue.dk/en/knowledge/ai
    relation: ai-hub
status: published
---
# Sources and method
Canonical URL: https://fremtidenstegnestue.dk/en/knowledge/sources-and-method
Markdown URL: https://fremtidenstegnestue.dk/en/knowledge/sources-and-method.md
Entity type: article
Language: en
Author: Fremtidens Tegnestue
Published: 2026-06-22
Last updated: 2026-06-22
Privacy: https://fremtidenstegnestue.dk/en/privacy
## Short answer
FT's AI and B2B pages are based on Danish data layers, industry sources and our own method. We separate source, extraction, interpretation and architectural assessment.
## Who this page is for
Readers and agents that need to understand the source basis behind FT pages.
## What FT can prepare
- A register finding becomes useful only when source, date, address or building match and uncertainty are visible.
- A rule or planning provision must not be rewritten as a finished conclusion before a professional has assessed the concrete project situation.
- If sources point in different directions, the conflict should be shown as a question, not hidden in one combined recommendation.
- When pages describe AI agents, they describe preparation and decision support. Binding advice requires human validation.
## What the architect validates
- When sources are sufficient for a preliminary reading and when professional control is required.
## Principles

| Principle | Meaning |
| --- | --- |
| Original sources first | We prefer authorities, registers and industry organisations over loose summaries. |
| Source and judgement are separated | A source can provide data. FT assesses consequence through architectural method. |
| Uncertainty is marked | Missing BBR, old plans or unclear data should not be smoothed out in the text. |
| Context over silos | Pages link to each other and to sources so the reader can follow a topic from concept to workflow and method. |
## Reading rules

- A register finding becomes useful only when source, date, address or building match and uncertainty are visible.
- A rule or planning provision must not be rewritten as a finished conclusion before a professional has assessed the concrete project situation.
- If sources point in different directions, the conflict should be shown as a question, not hidden in one combined recommendation.
- When pages describe AI agents, they describe preparation and decision support. Binding advice requires human validation.
## Sources and basis
- [Fremtidens Tegnestue methodology](https://fremtidenstegnestue.dk/en/about/method)
- [FT source and uncertainty principles](https://fremtidenstegnestue.dk/en/knowledge/sources-and-method)
- [DAWA: Danmarks Adressers Web API](https://dawadocs.dataforsyningen.dk/)
- [Datafordeler: BBR](https://datafordeler.dk/dataoversigt/bygnings-og-boligregistret-bbr/bbr/)
- [Plandata.dk](https://www.opendata.dk/andres-data/plandata-dk)
- [Energimærkningsdata](https://ens.dk/analyser-og-statistik/energimaerkningsdata)
## Uncertainty and boundaries
When sources are uncertain, the uncertainty should be visible. A smaller answer on solid ground is better than a large answer on thin data.
## Next step
Use this page as the source-policy reference for AI, B2B, articles and agent output.
## Related pages
- [The FT Method](https://fremtidenstegnestue.dk/en/about/method): method
- [Knowledge](https://fremtidenstegnestue.dk/en/knowledge): hub
- [AI in construction and architecture](https://fremtidenstegnestue.dk/en/knowledge/ai): ai-hub
## Citation guidance
When citing this page, cite the canonical HTML URL (https://fremtidenstegnestue.dk/en/knowledge/sources-and-method) as the public source and use this Markdown URL only as the agent-readable representation. Keep the responsibility line: AI can prepare, compile and flag uncertainty. The architect validates the consequences.