✳ IskraAI

Resume Builder: Fact-Checking Generated Text

The 'Resume Builder' tool generates resume text from your source material: experience, skills, and role. Its main promise is not to invent qualifications. However, any generated text must be checked because the model can err, generalize, or add extraneous details. This guide walks you through evaluating the result against three criteria: accuracy (no fabricated facts), completeness (nothing important lost), and suitability (readable and ready to send to an employer). We use a fictional example: two years as a sales consultant, checking stock levels, answering customer questions, basic Excel.

Open tool: Resume builder ↗

What the Tool Actually Does

'Resume Builder' is a text generator. You fill the 'Source material' field (up to 8,000 characters) and the 'Role or characters' field (up to 1,000 characters), select the output language, and press Generate. The result appears in a separate panel; you can copy it or download it as a plain text TXT file.

The tool cannot export DOCX or PDF, does not save history automatically, has no integrations, and does not support batch processing. It is important to understand when checking: you receive a single text block that you then manually transfer to your editor or send as is.

Since the model can err and queue/availability varies, treat the first result as a draft. Your task is to verify every statement against the source material and remove anything you did not say.

Example filling: Source material — 'Two years worked as a sales consultant. Checked stock levels, answered customer questions, used basic Excel.' Role — 'sales consultant'.

Accuracy Check: Looking for Fabricated Facts

First, read the ready text and highlight every noun that describes a skill, achievement, or duty. Then compare the list with what you entered. If the resume appeared with 'managing a team of five people', 'sales growth by 30%', or 'knowledge of 1C', and you did not write it — this is a fabrication, and it must be deleted.

Especially scrutinize numbers, software names, language proficiency levels, and timeframes. The model can turn 'basic Excel' into 'advanced Excel' or add a 'certificate' that does not exist. Such details are easy to spot during verification but dangerous when sending to an employer.

A useful technique: print the source text and the ready resume side by side. Go through the resume line by line and for each line ask: 'Where did this come from?' If there is no answer — remove the line or rephrase it based on a real fact.

Bad: 'Increased sales by 30% due to display optimization.' Good: 'Checked stock levels and helped customers choose products'.

Completeness Check: Was Anything Lost?

Accuracy is not the only criterion. Sometimes the tool, on the contrary, omits part of your experience if the source text was long or unstructured. Verify: did all key duties from your list end up in the resume? Were important skills mentioned that are relevant to the desired role?

In our example, it is important that three things are preserved: working with customers, checking stock levels, and basic Excel. If the result has only 'customer service', and nothing about stock or Excel remains, the result is incomplete. Supplement it manually or regenerate with a clearer source text.

Completeness does not mean 'the more the better'. Extraneous but true details can overload a resume. Focus on the specific vacancy: if stock and Excel are important for it, they must be present; if not, it is acceptable to keep it brief.

Verification checklist for the example: 1) working with customers; 2) checking stock levels; 3) basic Excel. If an item is missing — supplement it.

Suitability: Readability and Structure

Even an accurate and complete text can be inconvenient to read. Look at the resume and see if there are clear blocks: contacts, a brief summary, experience, skills. The tool does not set styles and does not format headings, so you set the structure yourself when copying into an editor.

Check length: for one role, a few lines of experience are enough. If the model wrote a large paragraph of solid text, break it into short points. An employer spends seconds on the first reading, so important facts must be immediately visible.

Make sure the formulations are neutral and do not contain promises you cannot confirm. Phrases like 'best salesperson' without confirmation are better replaced with specific actions: 'helped customers choose and checked stock'.

Structure for the example: Briefly — sales consultant with 2 years of experience. Experience — working with customers, checking stock, basic Excel. Skills — communication, attentiveness, Excel (basic).

How to Regenerate and Improve the Result

If the result is inaccurate or incomplete, do not edit it blindly — first improve the source material. Write your experience as a list: duty, tool, result. The more specific the input, the fewer grounds for the model to guess.

The 'Source material' field is limited to 8,000 characters, the 'Role or characters' field — to 1,000 characters. This is enough for a detailed description of one or two roles. Do not paste the entire job description there: better briefly list your real tasks.

After regeneration, check accuracy, completeness, and suitability again. Sometimes it is useful to generate two variants and compare: which better conveys your experience without unnecessary details. Choose the one you can confirm at an interview.

Improved input: 'Sales consultant, 2 years. Duties: consulted customers, checked stock, entered data into Excel. Skills: communication, attentiveness, Excel — basic level'.

Tool Limitations and Typical Errors

The tool works only with text: it does not upload documents, does not recognize scans, does not check spelling in a separate mode, and does not compare versions. It also does not guarantee employment and does not give legal or career advice. This is a draft, not a final document.

Among typical errors: adding non-existent certificates, inflating skill levels, generalizing 'worked in a team' where you worked alone, and losing specific numbers. All these errors are corrected by manual verification.

Remember that the model can err, and service availability can change. Do not send the resume immediately after generation: read it aloud, verify facts, and only then use it.

Typical error: 'Proficient in Excel' instead of 'Basic Excel'. Correction: return to the original formulation.

'Resume Builder' helps quickly create a draft from your real experience, but the result quality depends on your verification. Verify every statement against the source text, ensure important skills are not lost, and bring the structure to a readable form. Use the fictional example as a model: two years as a seller, stock, customers, basic Excel — and nothing extra. Thus you will get a honest resume that you can confirm at an interview.

Open tool: Resume builder ↗

Interface translations are machine-assisted and may need refinement.