How it works
Turning professional knowledge into trusted learning
We follow a clear, transparent process: discovering trusted sources, enriching them responsibly, and delivering them with full attribution and context intact. Every step is built to make professional learning reliable, traceable, and ready for action.
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1) Discover
Find the right sources, not every source.
- Referrals, citations, provider submissions, RSS/sitemaps, vetted lists.
- Signals: practitioner credibility, originality, consistency.
- Output: candidate sources and items to fetch.
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2) Retrieve responsibly
Collect only what we need to analyze, respecting every publisher’s boundaries.
- Public web by default; licensed access within terms when required.
- Rate-limited fetching; respect site preferences.
- Output: raw metadata + transient text for analysis (no republication).
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3) Evaluate & Credit
We only enrich what we can verify and attribute.
- Decision: Each piece is reviewed for quality, rights, and completeness.
- We log the verified author, canonical source, and access notes (open, premium, or member-only).
- Output: approved items with attribution and governance set.
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4) Enrich & map
AI organizes; people verify.
- Normalize fields; generate a short summary.
- Map topics, intent, and format; estimate longevity.
- Human pass: edge cases and high-impact items.
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5) Review & publish
Quality control before anything goes live.
- Checks: completeness, attribution, link health, and minimum score.
- Publish to the catalog; if not ready, it stays internal.
- No republishig: We never republish full text, only metadata and short transformative summaries.
- Only what meets our standards enters the catalog; everything else waits its turn.
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6) Deliver to partners
Always attributed. Always traceable.
- Weekly drops, bundles, or filtered exports; API/endpoints on request.
- Cohorts & communities, LMS imports, scoped extracts.
- Each bundle carries its author, source, and license. Attribution and credit persist everywhere.
What happens next
Connect with us in the way that fits your role
Whether you’re integrating our catalog, contributing your own expertise, or exploring responsible data use, each path starts with a conversation. Every collaboration keeps attribution, transparency, and shared purpose at its core.
Every path leads to the same outcome: better learning, grounded in attribution.