How It Works
The Agentic AI Partner Library is a curated, searchable resource hub for the Agentic AI partner vTeam community. Every link in the library has been vetted by a domain expert — but the heavy lifting is done by AI agents.
What makes this different?
This isn't a static bookmark list. It's an agentic curation pipeline — AI discovers content, humans make decisions, and AI handles everything else. The library stays fresh, consistent, and growing with minimal manual effort.
The Curation Pipeline
Content flows through a fully automated pipeline with human judgment at the decision point.
1. Content Discovery
New content is discovered in two ways — both produce a structured GitHub Issue:
| Channel | How it works |
|---|---|
| 🤖 Research Agent | Scans 14 sources daily — RSS feeds, GitHub releases, Microsoft What's New pages. Filters by keywords and AI relevance scoring. Creates up to 5 high-signal suggestions per day. |
| 👤 Manual suggestions | Anyone on the site can suggest a link through a simple form. No repo access needed. |
2. Smart Triage
The moment a suggestion arrives, automation kicks in:
- Solution area detection — AI reads the content and tags it as AIBS, CAIP, Security, or Cross-solution
- Category recommendation — maps the content to one of 10 curated categories
- Reviewer assignment — routes to the right domain expert based on the team roster
- Structured summary — posts a clean summary so the reviewer can decide in seconds
3. Human Review
The assigned expert gets an email with everything they need:
📋 New link suggestion to review
Azure AI Foundry Agent SDK Documentation
🔗 Content: https://learn.microsoft.com/...
📂 Category: Build: APIs & SDKs
🏷️ Solution: CAIP
👤 Reviewer: @you
> Comprehensive SDK documentation covering agent creation,
> tool integration, and multi-agent orchestration patterns.Click the link. Skim it. Comment your decision. That's the entire review workflow.
| Decision | What the reviewer does |
|---|---|
| ✅ Approve | Comments "looks good" (or any positive signal) and assigns to Copilot |
| ❌ Decline | Comments with a reason ("too generic", "outdated") and assigns to Copilot |
| 🔄 Reassign | Comments "let @someone review this" and assigns to Copilot |
4. Automated Execution
Once the reviewer decides, a Smart Review Agent takes over:
- Validates the URL is reachable
- Checks for duplicates and near-duplicates across the entire library
- Formats the entry with proper metadata (9 structured tags per link)
- Places it in the right category page, grouped logically
- Creates a pull request with a clean commit
5. Live in Minutes
The PR merges automatically. Azure Static Web Apps deploys. The link appears on the site. A notification comments back on the original suggestion with the live page URL so the submitter knows exactly where their link ended up.
Link suggested ──→ Auto-triage ──→ Expert reviews ──→ AI executes ──→ Live on site
(1 min) (instant) (human pace) (2 min) (2 min)The Agents
The library runs on a fleet of purpose-built AI agents — some run in GitHub's cloud, others run locally for the curation team.
Cloud Agents (GitHub Copilot Coding Agents)
These run automatically in GitHub when triggered by issues or PRs.
| Agent | What it does |
|---|---|
| 🔍 Smart Review | Executes reviewer decisions — validates URLs, deduplicates, formats entries, creates PRs. The core of the approval pipeline. |
| 🔧 Maintenance Fixer | Reads weekly maintenance reports and creates PRs to fix broken links, update stale dates, and remove duplicates. |
| 🧪 Integration Test | End-to-end pipeline verification — creates test issues and validates the full triage → review → PR → deploy flow. |
| 👤 Partner Review | Reviews the library from a partner persona — evaluates navigation, content usefulness, and discoverability. |
Local Agents (Copilot CLI)
These run in the curation team's terminal for interactive work.
| Agent | What it does |
|---|---|
| 📋 Content Curator | Given a URL, evaluates relevance, checks duplicates, generates a formatted entry, and recommends the right category. |
| 📡 Source Scout | Manages content sources — finds RSS feeds, tests parsing, audits signal quality, generates config entries. |
| 📊 Library Insights | On-demand analytics — coverage gaps, freshness scores, growth trends, quality metrics across all categories. |
Automated Workflows (GitHub Actions)
| Workflow | Schedule | What it does |
|---|---|---|
| Research Agent | Daily, 06:00 UTC | Scans sources, creates link suggestions |
| Auto-Triage | On issue creation | Labels, assigns reviewer, posts summary |
| Auto-Approve | On issue close | Legacy fast-path for link addition |
| Maintenance Agent | Weekly, Mondays 07:00 UTC | Health checks, staleness audit, duplicate detection |
| Link Checker | Daily | Validates all URLs in the library |
| Deploy | On merge to main | Builds and deploys the VitePress site |
Category Taxonomy
All content is organized into 10 curated categories, each with a clear scope:
| # | Category | What belongs here |
|---|---|---|
| 1 | Start Here | Role-based entry points and quick-start guides |
| 2 | Agentic AI Fundamentals | Core concepts and shared terminology |
| 3 | Solution Foundations | Foundational content per solution area (AIBS · CAIP · Security) |
| 4 | Architecture & Patterns | Reference architectures, integration patterns, design guidance |
| 5 | Security & Governance | Identity, compliance, governance, responsible AI |
| 6 | Build, Extend & Integrate | APIs, SDKs, tools, tutorials, sample code |
| 7 | Ways of Working | Collaboration, delivery approach, PoC-to-production |
| 8 | Scenario Blueprints | Repeatable end-to-end cross-solution scenarios |
| 9 | Learning & Community | Courses, webinars, recordings, hackathons |
| 10 | News & Updates | Curated high-signal updates only |
Every link carries 9 structured metadata tags: solution area, content type, audience, shareability, maturity, product, pattern, owner, and last-reviewed date. This powers the Browse & Filter page.
Quality Standards
Every link in the library meets these criteria:
- ✅ Relevant — directly useful for agentic AI work across AIBS, CAIP, or Security
- ✅ High quality — official docs, well-written blogs, maintained repos
- ✅ Current — not outdated or deprecated (automated staleness checks)
- ✅ Accessible — publicly available, or clearly tagged as partner-NDA or internal-only
- ✅ Unique — no duplicates (automated deduplication)
- ✅ Well-described — 1–3 sentences explaining what it covers and why it matters
Tech Stack
| Component | Purpose |
|---|---|
| VitePress | Static site generator — fast, searchable, markdown-native |
| Azure Static Web Apps | Hosting with Microsoft Entra ID authentication |
| Azure Application Insights | Anonymous usage analytics (page views, search terms, outbound clicks). Admin-only dashboard. No PII collected, no auth identity sent. |
| GitHub Actions | All automation — triage, research, maintenance, deploy |
| GitHub Copilot Coding Agents | AI agents that operate on issues and PRs |
| GitHub Models | AI relevance scoring in the Research Agent |
Want to Get Involved?
Become a domain expert
We're looking for Partner Solution Architects and Partner Technology Strategists across AIBS, CAIP, and Security to join as domain experts. You'd review link suggestions in your area — typically a few minutes per week.
Contact Johan Wallquist (vTeam Lead) on Teams to get added.
You can also suggest a link right now — no repo access needed.