chore: add MVP planning backlog

backlog/tasks/task-11 - Create-the-OpenRouter-AI-audit-pipeline.md

@@ -0,0 +1,44 @@
+---
+id: TASK-11
+title: Create the OpenRouter AI audit pipeline
+status: To Do
+assignee: []
+created_date: '2026-06-03 19:13'
+labels:
+  - mvp
+  - agent
+  - llm
+dependencies:
+  - TASK-8
+  - TASK-9
+  - TASK-10
+references:
+  - PRD.md
+priority: high
+ordinal: 11000
+---
+
+## Description
+
+<!-- SECTION:DESCRIPTION:BEGIN -->
+Implement the LLM-powered audit generation pipeline using Vercel AI SDK and OpenRouter. The pipeline combines Google/Places data, Playwright crawl data, screenshots, PageSpeed signals, and local skills to generate structured internal findings plus final German audit, email, subject, call script, and follow-up drafts.
+<!-- SECTION:DESCRIPTION:END -->
+
+## Acceptance Criteria
+<!-- AC:BEGIN -->
+- [ ] #1 Vercel AI SDK is configured with OpenRouter and environment/Convex secrets
+- [ ] #2 Model profiles exist for classification, multimodal audit analysis, German text generation, and final quality review
+- [ ] #3 Structured audit outputs use Zod schemas and are stored in Convex with raw prompts/responses and model metadata
+- [ ] #4 Screenshots can be passed to multimodal-capable models where supported
+- [ ] #5 Generated customer-facing text follows Ich-Form, German language, no scores, no prices, no generic KI-Slop, and factual observation plus suggestion style
+<!-- AC:END -->
+
+## Implementation Plan
+
+<!-- SECTION:PLAN:BEGIN -->
+1. Add OpenRouter provider setup through Vercel AI SDK.
+2. Define Zod schemas for internal findings, audit summary, email draft, subject, call script, follow-up, and quality review.
+3. Build model-profile configuration for fast classification, multimodal analysis, and German copy generation.
+4. Combine lead, crawl, screenshot, PageSpeed, and selected skills into prompt inputs.
+5. Persist all prompts, model responses, normalized findings, final texts, and generation errors in Convex.
+<!-- SECTION:PLAN:END -->