What the AI can conclude about you
The complete list — 20 conclusions, and nothing else
Profiled asks you for things no other platform asks for: why you really left a role, what you’d do differently, where you’re genuinely weak, what a former manager would say. The product only works if you answer honestly, and you’ll only answer honestly if you know what happens to it.
So here is the whole answer. When someone runs a fit assessment against your profile, the AI reads your private notes and reaches a set of conclusions. That set is fixed and finite. This page lists every one of them.
The model that writes what a recruiter reads is never given your private notes at all. The assessment is produced in two steps. The first reads your private context and outputs only the labels below — no sentences. The second writes everything a recruiter actually reads, working from your published profile, the job description, and those labels. It cannot repeat what you wrote privately, because it was never shown it.
The conclusions
Each group below is a separate decision. Some are made once per assessment; others are made once for each strength or gap the AI identifies — so a single assessment usually contains several.
The overall verdict
Is this candidate a fit for this specific job?
One verdict per assessment.
- Strong fit
- Your experience lines up closely with what this job asks for.
- Worth a conversation
- There's a real case here, with things a hiring manager should ask you about.
- Probably not your person
- The gaps are big enough that this role likely isn't the right match.
How sure the AI is, and why
How much evidence was there to work from?
One reason per assessment, alongside a confidence score.
- Thorough profile
- You'd filled in enough detail for the AI to judge this properly.
- Well documented
- Your specific, concrete examples gave the AI solid ground to stand on.
- Mixed evidence
- Some parts of your profile were detailed and others were thin.
- Sparse profile
- There wasn't much to go on, so the assessment is held loosely.
- Vague job description
- The job ad itself didn't say much — this is about the ad, not about you.
How relevant each strength is
How directly does this strength speak to what the job asks for?
One grade per strength the AI lists. There may be several.
- Core
- This is central to what the job is actually asking for.
- Supporting
- This helps, without being the main thing the role needs.
- Adjacent
- This is related, but a step removed from the requirement.
Your level against each gap
For something this job needs that you may not have — how much do you have?
One grade per gap, paired with a severity below. A gap is always named by the job's requirement, never by anything you wrote privately.
- None
- Nothing in your profile speaks to this requirement.
- Limited
- You have some of this, but less than the role is asking for.
- Dated
- You've genuinely done this, but not recently.
- Tangential
- You've worked near this rather than directly on it.
How much each gap matters
Is this gap likely to be decisive for this role?
One grade per gap, paired with your level above.
- Major
- This one could reasonably decide the outcome.
- Minor
- Worth naming, but unlikely to be the deciding factor.
How well your experience transfers
Where you don't have the exact thing, how well does what you do have carry over?
One grade per transferable skill the AI identifies.
- Close
- What you've done is very near what the job needs.
- Partial
- Some of this carries over, and some of it doesn't.
- Distant
- There's a connection, but it's a stretch.
What else the AI writes down
Alongside those labels, the AI records whatit is talking about — which of your claims, and which requirement in the job ad. We list these because a page showing only the labels above would imply they’re everything, and they aren’t.
- The claim being talked about — drawn from your public profile
- A short label naming one of your published skills or roles — for example a skill name, or "Company — Job title". Copied from what you've chosen to publish.
- The job requirement being talked about — drawn from the job description
- A quote or close paraphrase of what the job ad asks for. It comes from the employer's text, not from you.
Both are checked against your private notes before they go anywhere. But be clear about what is and isn’t private-derived here: which requirements get listed as gaps at all, and how they’re graded, is informed by what you told us privately. The grade is the conclusion; your sentence is not.
What this does not cover
- The public chat on your profile is different. The AI that answers visitors’ questions is given no private context whatsoever— not a filtered version, none. Ask it something private and it will say it can’t help and point the visitor back to you.
- This list can’t quietly grow.The page is generated from the same definitions the AI runs on, and an automated check fails our build if the two ever disagree — in either direction.
- It is not a promise the AI is always right. It is a promise about what it can say. A conclusion can be wrong; you can see every assessment run against you on your AI activity page.
More detail on how AI works across Profiled is in our AI Disclosure Statement, and how we handle your data is in the Privacy Policy.