AI resume builder that doesn't make things up

The hallucination problem with generic AI resume tools

When you ask a general-purpose AI like ChatGPT to "improve your resume" or "tailor this resume to the job description", the model does what it was trained to do: generate plausible-sounding text. That plausibility does not require accuracy.

In practice, this means:

• The model invents specific metrics you never achieved ("reduced costs by 34%" when you reduced them by 12%, or when no reduction happened at all).
• It adds skills to your skills section that you mentioned wanting to learn, not that you actually have.
• It generates a summary that reads like a perfect candidate for the role — because it was optimising for keyword density, not honesty.
• It suggests reordering or reframing experience in ways that imply career progression you did not have.

These are not edge cases. They are the default behaviour of language models when given insufficient grounding context. The model is filling in the gaps — and in a resume, the gaps are where your real experience lives.

The consequences are real. Recruiters who find a discrepancy between your resume and your interview answers lose trust immediately. In technical roles, fabricated skills surface at the first screening call. And in jurisdictions where employment contracts reference CV representations, material falsehoods are a legal risk.

How RecastCV enforces groundedness

RecastCV is built on a different architecture than generic AI resume tools. Instead of asking a language model to generate a resume from a job description, it asks the model to rewrite only the experience you have actually described.

The master CV as source of truth

You upload your master CV once — every job, project, responsibility, and outcome you have ever done, in as much detail as you want. RecastCV parses this into a structured profile: work entries, each with employer, title, dates, and bullet-level achievements.

This master CV is the boundary of what the AI can say about you. The model is explicitly instructed that it may not add experience, skills, or metrics that are not present in the master CV or your project library.

The project library

For each significant project or achievement, you can add a detailed entry to your project library: what the project was, the context, your specific contribution, the measurable outcomes, and the technologies or methods involved. When tailoring for a role, the AI can draw on this richer context to surface the most relevant aspects of a project — but it cannot invent details that are not in the library.

Rewriting, not generating

The tailoring step is a rewrite operation, not a generation operation. For each bullet in your master CV, RecastCV:

1. Checks whether this experience is relevant to the target role.
2. If relevant, rewrites the bullet to emphasise the aspects most aligned with the JD — using the JD's language where your master CV uses different terminology for the same thing.
3. Flags bullets that are not relevant to this role, so you can choose to exclude them.
4. Does not add any bullet, skill, or metric that is not traceable to your source material.

The result is a resume that reads as tailored for the specific role — because it is — but that remains fully accurate to your actual experience.

RecastCV vs using ChatGPT alone

ChatGPT is a capable writing tool. Used carefully — with a detailed system prompt, your full CV pasted in, and explicit instructions not to invent — it can produce decent resume rewriting. The problem is that this setup requires skill, iteration, and constant vigilance. Most users do not do it correctly.

The comparison is not about ChatGPT being bad at language — it is about the two tools being designed for different purposes. ChatGPT is a general-purpose text generator. RecastCV is a specialist tailoring tool with guardrails. For resume tailoring at scale, the specialist tool wins.

See also: RecastCV vs Teal for a comparison with a dedicated AI resume tracker, and our pricing page for a credit cost breakdown.

What you get with RecastCV

Sign up with your email. No password, no credit card. 3 free tailorings included.

Frequently asked questions

How is RecastCV different from using ChatGPT for my resume?

ChatGPT generates text from its training data. If you ask it to improve your resume, it can invent credentials, fabricate metrics, and suggest skills you may not have — because it is optimising for plausibility, not accuracy. RecastCV only rewrites bullets that map to real experience you have already described in your master CV or project portfolio. Nothing is invented.

What does 'grounded' mean in this context?

Every rewritten bullet in a RecastCV-tailored resume is traceable to a real entry in your master CV or project library. If you did not describe a project, outcome, or skill in your source material, RecastCV will not include it in the tailored output. This is what we mean by grounded — the output is anchored to your actual experience.

Does RecastCV work for US-format resumes?

Yes. RecastCV handles both UK CV conventions (two pages, personal profile, broader personal detail) and US resume conventions (one page where possible, summary section, no photo, no date of birth). When you tailor for a US-based role, the output follows US formatting norms.

How much does it cost to tailor a resume?

Each tailored resume uses one credit. Credits are purchased in packs starting at $8 for 10 credits — no subscription, no monthly fee. You sign up for free and receive 3 credits to start. See the full pricing breakdown at recastcv.com/pricing.

Can I compare RecastCV to Teal or Rezi before signing up?

Yes. We publish side-by-side feature comparisons on our compare pages. See RecastCV vs Teal at /compare/recastcv-vs-teal for a full breakdown of tailoring method, grounding, ATS output quality, pricing model, and more.

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