Floke/Brancheneinstufung2

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Floke 2b7c072ddc feat(gtm): Implement Meta-Framework for strategic analysis

Refactors the GTM orchestrator prompts (phases 2-9) to use a question-based strategic framework derived from the internal marketing blueprint. This new 'Meta-Framework' approach ensures strategic depth and prevents content pollution from irrelevant examples when analyzing new product categories.

- Updates orchestrator prompts in .
- Adds documentation in  explaining how to modify the new strategy logic.
- Includes minor fixes to the Node.js  and dependency updates in .

2026-01-14 15:34:15 +00:00

..

Update: GTM Architect v2.6.2 (Edit Specs, Report Fix) & Company Explorer v0.4 (Export, Timestamps)

2026-01-09 09:15:16 +00:00

.env.local

gtm-architect/.env.local hinzugefügt

2025-12-31 12:07:24 +00:00

.gitignore

Dateien nach "gtm-architect" hochladen

2025-12-31 12:07:45 +00:00

App.tsx

Update: GTM Architect v2.6.2 (Edit Specs, Report Fix) & Company Explorer v0.4 (Export, Timestamps)

2026-01-09 09:15:16 +00:00

App.tsx.backup

Update: GTM Architect v2.6.2 (Edit Specs, Report Fix) & Company Explorer v0.4 (Export, Timestamps)

2026-01-09 09:15:16 +00:00

Dockerfile

feat(gtm): upgrade to google-genai, fix image gen & frontend crash

2026-01-04 16:02:23 +00:00

geminiService.ts

Update: GTM Architect v2.6.2 (Edit Specs, Report Fix) & Company Explorer v0.4 (Export, Timestamps)

2026-01-09 09:15:16 +00:00

index.html

Refactor GTM Architect to v2: Python-driven architecture, 9-phase process, new DB and Docker setup

2026-01-02 19:00:05 +00:00

index.tsx

Dateien nach "gtm-architect" hochladen

2025-12-31 12:07:45 +00:00

metadata.json

Dateien nach "gtm-architect" hochladen

2025-12-31 12:07:59 +00:00

package-lock.json

feat(gtm): Implement Meta-Framework for strategic analysis

2026-01-14 15:34:15 +00:00

package.json

Refactor GTM Architect to v2: Python-driven architecture, 9-phase process, new DB and Docker setup

2026-01-02 19:00:05 +00:00

README.md

Refactor GTM Architect to v2: Python-driven architecture, 9-phase process, new DB and Docker setup

2026-01-02 19:00:05 +00:00

requirements.txt

feat(gtm): upgrade to google-genai, fix image gen & frontend crash

2026-01-04 16:02:23 +00:00

server.cjs

feat(gtm): Implement Meta-Framework for strategic analysis

2026-01-14 15:34:15 +00:00

tsconfig.json

Dateien nach "gtm-architect" hochladen

2025-12-31 12:07:59 +00:00

types.ts

fix(gtm): Fix white screen and implement URL persistence v2.6.1

2026-01-08 21:36:42 +00:00

vite.config.ts

Refactor GTM Architect to v2: Python-driven architecture, 9-phase process, new DB and Docker setup

2026-01-02 19:00:05 +00:00

README.md

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Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/drive/1bvzSOz-NYMzDph6718RuAy1mnCSjjylz

Run Locally

Prerequisites: Node.js

Install dependencies: npm install
Set the GEMINI_API_KEY in .env.local to your Gemini API key
Run the app: npm run dev