About
We build concise, evidence-driven learning paths that help people evaluate content and make informed choices.
Our mission
Make verification skills universal through clear, accessible, and practical courses. We equip learners to question, verify, and decide with confidence.
Our values
- Clarity over complexity
- Evidence over opinion
- Accessibility by default
- Privacy-first design
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Tip: Use Left/Right arrows to navigate. Everything below is pure text for speed and accessibility.
Prelude — Spark
The idea formed: a compact, practice-first curriculum to demystify verification for all audiences.
We talked to educators, journalists, and students to map essential skills into short, stackable units.
Year 1 — Foundation
We launched core modules on verification, searching, and source evaluation.
Early cohorts validated our “short, focused drills” approach and informed iterative improvements.
Year 2 — Expansion
Advanced topics: OSINT basics, deepfakes, and a platform for cohorts with facilitator tooling.
We standardized checklists and rubrics to align outcomes across groups and languages.
Year 3 — AI literacy
Introduced AI literacy for everyone and updated bias detection methods with human-in-the-loop practice.
We emphasized calibration, model critiques, and validation chains for AI-assisted research.
Year 4 — Partnerships
Joined forces with libraries and NGOs to host open workshops and create localized micro-lessons.
Our facilitator network grew and shared templates for rapid deployment.
Year 5 — Measurement
Launched pre/post diagnostics to quantify skill gains and inform adaptive practice sets.
Published anonymized metrics, improving transparency and program design.
Today — Continuous
We refine curricula constantly: smaller steps, clearer feedback, stronger evaluation loops.
Our goal remains the same: make verification skills a habit.
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