A plain-language breakdown of what's real external data, what's AI-generated, and where the limits are, so you can use your report with the right expectations.
Your report is built from what you tell SmartRolePath during intake: your current role, industry, skills (including years of experience per skill), education, hobbies and interests, income goals, and location. That's the actual input to the analysis, there is no separate, hidden data source about you beyond what you provide.
Claude, Anthropic's AI model, analyzes your profile and asks for 7 ranked paths (5 career/hybrid paths and 2 business/side-income opportunities), each with a match score, salary range estimate, and transition-difficulty rating. Near-duplicate titles are removed, so on rare occasions you may see fewer than seven; SmartRolePath shows what remains and does not add filler. This is a single AI-generated response to your specific profile, the model is not querying a live jobs database, a salary API, or a labor-statistics feed while generating your paths.
When you view a path's full detail (or generate a roadmap), a second AI call "enriches" that path with a more detailed fit explanation, a market-demand label, an automation-risk rating, business opportunity ideas, and a 5-year salary/growth projection. This is also AI-generated for your specific profile, not retrieved from an external dataset.
Once the AI produces its estimates, SmartRolePath applies a fixed, documented formula (not another AI call) to turn five SmartRolePath assessment factors into one Personal Match score, the percentage shown prominently on every path. It measures how closely a career fits you personally. It is a measure of fit, not a hiring probability and not a prediction of pay or outcomes:
The weighting formula itself is real, deterministic math applied consistently to every path. What feeds into that formula (the five factors above) comes from the AI's estimate, not an independently verified dataset. These are SmartRolePath's own assessment factors, not official BLS or O*NET statistics.
Your paths are listed in Overall Recommendation order. Personal Match is the primary factor. For newly generated U.S. analyses, SmartRolePath may apply a limited amount of verified BLS/O*NET labor-market evidence to refine the order of closely matched careers:
BLS and O*NET provide the underlying data; they do not endorse SmartRolePath's recommendations.
Run a free analysis and see your own ranked career paths, generated by the process described here.
Your skills, years of experience per skill, education, location, and income goal are all included directly in the prompt sent to the AI for both the initial analysis and each path's detailed enrichment. Two users with different backgrounds will get different career paths, different salary estimates (adjusted for their stated location and currency), and different transition timelines, because the AI is generating a fresh response for each specific profile rather than selecting from a fixed, pre-written list of results.
Separately from the AI-generated analysis, Pro subscribers can search live job listings for a specific target role. That feature does query real external providers, JSearch, Adzuna, Remotive, and USAJobs, subject to each provider's availability, fetching current postings at the moment you search, capped at up to 12 results per search after removing duplicates. Showing up to 12 listings reflects the search cap, not a measure of total market demand for that role. This is a genuinely live, on-demand feature, but it is separate from, and not used to generate, the AI's career-path recommendations, salary estimates, or scores described above.
Where a career path's title can be matched to an official occupation with reasonable confidence, SmartRolePath also shows verified data from two U.S. government sources, clearly labeled and kept separate from the AI-generated estimates above:
Every official figure shown displays its source dataset and version/period directly next to the number (e.g. "BLS OEWS / May 2025" or "O*NET / 31.0"), never as a bare "Official data" label with no way to tell how current it is. Government agencies periodically update these releases; when SmartRolePath re-imports a newer release, the version/period shown updates accordingly.
Because AI-generated career titles don't always exactly match an official occupation title, SmartRolePath resolves each path to the closest official occupation using title and keyword matching (not another AI call) and grades that match's confidence as exact, strong, approximate, ambiguous, or unresolved. Official wage and outlook figures are only shown when that confidence is high enough to reasonably describe the generated path; an ambiguous or unresolved match shows "Official occupation match unavailable" rather than a guess presented as fact. This official data is US-focused as of this writing, international users see SmartRolePath's own clearly-labeled estimates instead of a fabricated local benchmark.
For newly generated U.S. analyses, SmartRolePath may apply a limited official labor-market adjustment when ordering your career paths: where a path maps to a specific U.S. occupation with high confidence, its position can move by a small, bounded amount (at most a few points on a 0 to 100 scale) based on that occupation's U.S. Bureau of Labor Statistics employment-projection outlook, and on whether its typical wage falls inside the income range you entered. This adjustment is deterministic (no AI is involved in it), never applies to non-U.S. analyses or to paths without a confident occupation match, and is capped so it can refine close calls but never override a clear difference in personal fit. Your Personal Match remains the primary factor, and the percentage shown on each path is always that Personal Match score, never the internal adjusted value. Analyses generated before this feature was enabled are unchanged, they keep their original ordering. (See "Overall Recommendation" above for the full explanation.)
For supported U.S. analyses, SmartRolePath can show what a recommended occupation looks like in your local labor market, alongside state and national figures:
Your own career analysis is generated once, at the moment you run it, and does not automatically refresh. The live job-search feature described above fetches current results every time you run a search. Official BLS/O*NET data is imported periodically from government data releases (not fetched live on every page view), each figure shown carries its source dataset and period (for example, "May 2025 OEWS" or "BLS Employment Projections, 2025 to 2035") so you know how current it is. A separate "Career Trend Snapshot" indicator shown elsewhere on the site is AI-generated content, cached for roughly 12 hours before being regenerated, it's a directional snapshot, not a live feed from any labor-statistics agency or job board.
Because your career paths, salary estimates, and market-demand assessments are AI-generated rather than pulled from a verified live database, treat them as a well-reasoned starting point for research and decision-making, not a guarantee. For a decision with real financial stakes, cross-check specific salary and demand figures against a primary source such as the U.S. Bureau of Labor Statistics or O*NET. A report also can't account for everything specific to your situation, such as local hiring conditions, your professional network, interview performance, or timing, all of which matter and aren't fully captured by an automated analysis.
SmartRolePath designed the scoring framework, the prompt structure that guides the AI's analysis, and the weighting formula that turns AI-generated sub-scores into a Personal Match score. Claude, Anthropic's AI model, generates the actual content of each report, the career paths, fit explanations, salary estimates, and roadmap steps, by applying that framework to your specific profile. Where this site refers to a "research team" or "analysts," that language describes this internal framework-design and product work, not a separate staff of outside labor-market researchers or named credentialed analysts.
Blog articles, guides, and other written content on SmartRolePath are credited to "SmartRolePath Editorial." Drafting, research synthesis, and editing are AI-assisted, directed and reviewed by SmartRolePath, this byline describes that same in-house, AI-assisted process. It does not refer to a separate staff of outside journalists, analysts, or credentialed subject-matter researchers, and no individual writer, editor, or reviewer is implied, see "Role of AI vs. SmartRolePath's Own Work" above for how this applies to your personalized career report specifically.
Factual claims involving labor-market statistics are checked against identifiable sources, primarily the U.S. Bureau of Labor Statistics and O*NET, and where a specific number can't be traced to a real, checkable source, our policy is to remove it or rephrase the claim qualitatively rather than leave an unsupported figure in place.
If you spot an outdated, unsupported, or incorrect claim anywhere on the site, let us know and we'll review and correct it. We don't treat published content as final; if a claim turns out to be wrong or a source turns out not to hold up, it gets fixed.
The best way to evaluate this framework is to see your own results. SmartRolePath's free analysis takes about 5 minutes and shows your top career paths using the exact process described above.
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