Intelligence pod / Zqtion Launchpad
AI / Market R&D
Test tools and market assumptions, then explain what actually worked and where the limits are.
Up to 3 places12 weeksRemote-first8–12 hours/weekUnpaid
Application for this track Learning-first · Initial intake 18+ · Places depend on mentor capacity · No employment guarantee
What you'll work on
- Monitor AI tools, models, relevant GitHub projects and workflows.
- Research competitors, markets and tool pricing from primary sources.
- Run bounded comparisons and document experiments.
- Prepare weekly research notes and adoption recommendations.
- Report problem → technology → test → result → limitation → use case → recommendation.
What you'll learn
- Research design and source evaluation
- Tool comparison and practical experimentation
- Communicating uncertainty and business relevance
What we're looking for
- High curiosity and comfort reading online
- Willingness to verify claims rather than repeat marketing
- No research employment or advanced degree required
Helpful, not required
- Personal tool comparisons
- Basic technical curiosity
Useful tools
- Primary documentation
- Public GitHub repositories
- Experiment logs
A question to think about
A tool claims to save 80% of someone's time. How would you test whether that claim matters for Zqtion?
You will see this in the application. We want your thinking, not a polished professional answer.
Practice is supervised. Apprentices must not independently control client contracts, payments, confidential production systems, credentials, commercial commitments or final publication. Program availability and jurisdiction eligibility are confirmed before enrollment.
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