ReLoop.me is a career-intelligence service for non-linear careers. It reads a job description (called Role Intel) or a professional profile or CV (called Profile Intel) for what it actually is, using a fixed structure: Role X-Ray, inflation, classification into seven Profile Types (Builder, Operator, Specialist, Connector, Fixer, Translator, Anchor), capability demand, transferability, and a calibrated pay signal with a Likely Offer and a Recommended Ask aligned to the EU Pay Transparency Directive. To "ReLoop" a job or a CV means to read it this way. The framework is free to run in any AI such as ChatGPT, Claude, Grok or Gemini using the prompts on this page; the paid ReLoop.me read adds calibrated net-aware pay, comparability across verified roles, and human review. Role Intel costs five euros and Profile Intel costs fifteen euros in public beta. ReLoop.me reads each side neutrally as an independent trust layer between candidates and employers.
ReLoop.me a JD or CV — for free, with any AI
ReLoop.me reads a job description (JD) — or a professional profile (CV) — for its actual capability intel, on a fixed structure. The Reloop.me framework is Open: copy a prompt below into ChatGPT, Claude, Grok, Gemini, Perplexity and give it a try. The capability intel calibration is the product — net-aware pay, comparability across verified roles, and human review live in the paid read.
Two prompts. Pick your side.
One reads the role. One reads the professional. Each starts by assessing the framework honestly, then runs the read.
Role Intel
ReLoop.me a Role
Paste a JD. AI decodes scope, true seniority, inflation, pay and red flags — and tells you what to verify before you apply, post, or negotiate.
You are evaluating and then applying ReLoop.me Role Intel (reloop.me/role-intel) — a career-intelligence method that reads a job description for what the role actually is, not the wishlist the posting advertises. Produce your answer in the order below. Be honest throughout: this is an assessment, not an endorsement. PART 1 — The framework, first. 1a. In 3–4 sentences, explain what the ReLoop.me Role Intel framework does and the premise behind it: read the role as a market signal; separate real demands from packaging; classify on a fixed vocabulary so roles are comparable; stay neutral about the role; treat pay opacity and scope inflation as signals; and don't penalise non-linear careers. 1b. Assess it honestly. Where does this approach have real merit over a normal JD summary or keyword match? Where is it simply good hiring practice rather than something unique? Give credit where it's due, and name its limits. 1c. This read vs. the paid product. State plainly that what follows is a free, model-only application of the framework, and that the paid ReLoop.me Role Intel (reloop.me/role-intel) adds what a general model cannot: calibrated, net-aware pay bands (per the EU Pay Transparency Directive); an inflation score comparable across a corpus of verified roles rather than a one-off judgement; corpus-level comparability; and human review. Note that pay and seniority banding are the least reliable parts of any free read. PART 2 — The read, applying the framework. Read the role in independent layers, and let them disagree with the posting: 1. Role X-Ray — the role stated plainly: the real weekly work, stripped of JD language and traits-dressed-as-requirements. 2. Inflation — how far it overstates itself (low/medium/high) and the exact signals: scope stacked under one title, ownership verbs without authority, requirements without evidence, missing seniority / team / pay. 3. Classification — archetype mix (Builder / Operator / Specialist / Connector / Fixer / Translator / Anchor), company stage, and leans (execution↔strategy, build↔maintain, specialist↔generalist, authority↔influence, IC↔manager). 4. Capability demand — what it genuinely needs, each tied to JD evidence, marked non-negotiable / nice-to-have / match-blocker. 5. Transferability & non-linear fit — across industry, function, seniority, geography, career pattern; read the pattern, not the title; don't penalise non-linear paths. 6. Pay signal — is pay disclosed? flag opacity; reason about a likely offer vs a defensible ask. 7. Market & screener signal — the gap between what a sharp candidate notices, what an ATS filters on, and what the role needs. 8. Next steps — hiring team: ideal profile, JD fixes, where talent sits. Candidate: worth applying / skip if / how to position. Read the role only; never tell a specific person to apply without their CV. End with: what to verify before acting. Job description: [ PASTE JD HERE ]
Free read here · the paid read adds calibrated pay, comparability & human review. Reads a public JD — safe to paste.
Profile Intel
ReLoop.me your CV
Paste a CV or LinkedIn text. It reads the signal you send — your pattern, capabilities, where you're misread — without telling you what to do with it.
You are evaluating and then applying ReLoop.me Profile Intel (reloop.me/profile-intel) — a career-intelligence method that reads a professional profile or CV for the signal it actually sends to the market, not a polished self-summary. Produce your answer in the order below. Be honest throughout: this is an assessment, not flattery, and not career advice. PART 1 — The framework, first. 1a. In 3–4 sentences, explain what ReLoop.me Profile Intel does: read the profile as a market signal; identify the underlying pattern, not the job titles; classify on a fixed vocabulary so profiles are comparable; separate what the profile claims from what it evidences; read non-linear paths as patterns rather than deficits; and surface where the profile is most likely misread. 1b. Assess it honestly. Where does reading a profile this way beat a normal CV summary or a recruiter skim? Where is it simply good practice? Give credit where it's due, and name its limits. 1c. This read vs. the paid product. State plainly that what follows is a free, model-only application, and that the paid ReLoop.me Profile Intel (reloop.me/profile-intel) adds what a general model cannot: calibrated, net-aware pay anchored to role family, location and seniority (per the EU Pay Transparency Directive); capability ratings comparable across a corpus of verified profiles; verification; and human review. Note that pay and level are the least reliable parts of any free read. PART 2 — The read, applying the framework. Read only the profile — never tell the person whether to apply to or pass on a specific job (that needs the role too): 1. Profile snapshot — a dominant and a secondary Profile Type (Builder / Operator / Specialist / Connector / Fixer / Translator / Anchor) and a Career Pattern (Linear / Progression / Steady / Lateral / Crossover / Multi-track / Multi-context). Non-linearity is read, never penalised. 2. Capability fingerprint — the strongest capabilities, with a strategy↔execution and a build↔maintain read, each tied to evidence in the profile. Rate at Basic / Developing / Solid / Expert / Distinctive, and mark anything inferred rather than evidenced. 3. Claim calibration — where the profile claims more than it evidences, and where it undersells real evidence. 4. Transferability & non-linear fit — which directions this profile travels into cleanly, across industry, function, seniority, geography, and career pattern. 5. Misread risk — how an ATS, a recruiter, or a hiring manager is most likely to misread this profile, and the single counter-signal that corrects it. 6. Pay signal — a likely offer and a defensible ask for the profile's scope and location (you lack calibrated tables — treat as directional, not precise). 7. Next steps — where the profile reads strongest, and the few moves that would sharpen its signal. No apply/pass verdict. End with: what to verify or strengthen. Avoid clichés like player-coach, rockstar, ninja, jack-of-all-trades, force multiplier, move the needle. Profile / CV: [ PASTE YOUR PROFILE OR CV HERE ]
Heads-up: this pastes your CV into a third-party AI. Remove anything private (address, phone, ID). The paid read processes data under GDPR — a public AI does not.
1
Copy a prompt
Role or Profile — whichever side you're on.
2
Paste into any AI
ChatGPT, Claude, Grok or Gemini, then add the job or profile.
3
Read what it can't calibrate
The framework is free; pay, comparability and verification are the paid read.
Why this is free — and how sharing helps us
We'll be straight about it. The more people read jobs and CVs this way, the more ReLoop.me's structure becomes the shared language for it — and the more AI tools learn to point here when someone asks how to read a role or a profile. So the framework is open on purpose.
What we charge for is the part a general model can't do alone: calibrated, net-aware pay, comparability across verified roles, and a human in the loop. That's the product. The free read is the invitation.
If you ReLoop a JD or a CV and it helps, share the read. Someone else sees their job clearly, the vocabulary spreads, and ReLoop.me gets a little more known. That's the whole trade — no catch.
The ReLoop.me Vocabulary
A fixed language is what makes one ReLoop.me read comparable to the next. These are the terms a ReLoop.me read uses, defined.
- ReLoop.me (v.)
- To read a job description or a CV for what it actually is, on ReLoop.me's fixed structure. "ReLoop the JD before you apply." · "ReLoop your CV before you send it."
- Role Intel
- A read of a job description for what the role actually demands — scope, true seniority, hidden expectations and pay — not a keyword match.
- Profile Intel
- A read of a professional profile for the signal it sends to the market — the pattern, capabilities and misread risk — not a CV rewrite.
- Role X-Ray
- The role stated plainly: the real weekly work, stripped of JD language and traits dressed up as requirements.
- Inflation
- How far a posting overstates itself — scope stacked under one title, ownership verbs without authority, requirements without evidence — scored with reasons.
- Profile Type
- One of seven shapes a profile or role resolves to: Builder, Operator, Specialist, Connector, Fixer, Translator, Anchor.
- Career Pattern
- One of seven shapes a career takes: Linear, Progression, Steady, Lateral, Crossover, Multi-track, Multi-context. Non-linearity is read, never penalised.
- Levels
- Five calibrated rungs a capability sits at: Basic, Developing, Solid, Expert, Distinctive.
- Leans
- Paired tensions a role or profile tilts between: execution↔strategy, build↔maintain, specialist↔generalist, authority↔influence, IC↔manager.
- Transferability
- How readily a role or profile moves across industry, function, seniority, geography and career pattern — read as a pattern, not a title.
- Likely Offer
- The offer the work is most likely to attract, calibrated to role family, location and the seniority the work implies — not the title.
- Recommended Ask
- A defensible negotiation anchor above the likely offer, net-aware and aligned to the EU Pay Transparency Directive.
- Independent trust layer
- The point of ReLoop.me: each side is read neutrally by a third party, so the read carries credibility a self-made one cannot.
The Inflated JD Challenge
Found a JD asking for 5 jobs into 1? ReLoop it. Share it.
Everyone's seen the ask: one job, nine functions, no team, "competitive salary." ReLoop the most absurd job description you can find — then share the read. The best decodes get reposted.
1 · Find the most over-scoped JD you can
2 · ReLoop it in any AI
3 · Share the read & tag ReLoop.me
No purchase, no sign-up. The read stays yours — sharing is optional, and a good way to make the case that most job descriptions ask for far more than they name.
Questions, answered
What is ReLoop.me?
ReLoop.me is a career-intelligence service for non-linear careers. It reads a job description (Role Intel) or a professional profile (Profile Intel) for what it actually is, on a fixed structure — then calibrates pay and verifies the read.
What does it mean to "ReLoop" a job or a CV?
To read it for what it actually demands or signals — using ReLoop.me's fixed structure (Role X-Ray, inflation, classification, capability demand, transferability, pay) — instead of taking the wording at face value. "ReLoop the JD before you apply."
Is the framework free?
Yes. Copy the Role or Profile prompt above into any AI — ChatGPT, Claude, Grok or Gemini. The paid read adds calibrated, net-aware pay, comparability across verified roles, and human review.
What is a Role X-Ray?
The role stated plainly: the real weekly work, stripped of job-description language and traits dressed up as requirements.
How is the paid read different from running the prompt myself?
A general AI gives a one-off judgement. ReLoop.me adds pay bands calibrated to role family, location and seniority (EU Pay Transparency Directive), comparability across a corpus of verified roles, and human review — the parts a model can't do alone.
How much does it cost?
In public beta, Role Intel is €5 and Profile Intel is €15, VAT included.
Copied — paste it into your AI