Your personalized AI career report
The free check gives you the overview. This is the deep version — built from your real tasks and skills, section by section, with the research behind every claim. The kind of report that makes you think: “how did they know all this about my job?”
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We'll email you the moment it's ready — and early sign-ups get launch pricing.
What's inside
A long, detailed report — not a one-pager. Every section personalized and sourced.
Computed from the tasks you actually do — vs your occupation average and adjacent roles.
Every task you selected, scored, with why and the evidence behind it.
How AI tends to enter your specific work — and where you stay in control.
The parts of your role that stay defensible, mapped to your strengths.
Your skills sorted into exposed / augmentable / protected / missing, plus the AI tools that fit your tasks.
How exposure shifts by level, and market/salary pressure for your role and region — cited.
Specific, sequenced actions for your role — not generic advice.
Every figure cited, with a confidence level and honest limitations.
Why you can trust it
- Built from the tasks you actually do — not a vague job title.
- Every figure cited to credible research, with a confidence level.
- We never fabricate statistics, and we show the formula.
- Honest about uncertainty — evidence-based estimates, not fortune-telling.
- Find a factual error? We'll fix it and refund you.
Sources: O*NET · ESCO · ILO · OECD · OpenAI/OpenResearch · Anthropic Economic Index · Microsoft Research · BLS · WEF
Simple, honest pricing
See a free preview of your report first. Pay only if you want the full thing.
The full personalized report — score, task-by-task analysis, skill & tool audit, seniority & salary outlook, 30-day plan, sources.
Everything above, plus:
- 90-day repositioning plan
- Résumé & LinkedIn rewrite (old → new keywords, sample bullets)
- A sequenced learning plan (skills in order, with why)
- Adjacent roles ranked by your skill fit + transition difficulty
- “Your job in 2030” — augmented version vs no-adapt risk