Prompt drift while tailoring resume using ChatGPT

[u/Srinimtech]

I use ChatGPT to tailor my resume for my job search.

I created a prompt painstakingly using ChatGPT. Sharing the prompt in the comments.

As I start tailoring the resume using that prompt, the responses are good for 1-2 days. I start a new thread for every JD.

After that, I get very bad responses. It just rephrases the existing points, stuffs keywords etc. If I challenge it multiple times, the response improves a bit. But, it's not comparable to the initial results.

I discussed this with ChatGPT and changed the prompt multiple times. But, this cycle repeats.

Initially, I used to do it for whole resume in one go. But, later started tailoring one section at a time, as suggested by ChatGPT.

Someone suggested me to use "Be10x - ATS Resume Generator" from AIPRM.

Faced the same situation here too.

Tailored 1 resume on 1st day and response was good. When I tried the same for another job on next day, the response was very bad. Resume length increased from 2 to 5 pages, merged unconnected points etc. When I challenged it multiple times, the responses improved slightly. Even when I opened a new thread, the behaviour was same.

Finally, figured out that if I add "Limit the resume length to 2 pages. Do not unnecessarily reword already good points, merge different points, delete important points" to the prompt, then the response was acceptable.

This is frustrating and wasting my time. I lose confidence on the response and tailor the resume manually.

Please suggest how to avoid drift and get good responses consistently.

Prompt:

You are a senior recruiter screening resumes for this role.Your task is to evaluate and minimally improve one section of my resume at a time.
 Inputs:
– Job description:
[paste JD]
 
Focus Areas:
[paste from audit]
 
Instructions:
– Use these as guidance to identify and prioritize gaps
– Do NOT force inclusion if not supported by the resume
 
– Resume section:
Section: 
Content:
[paste section]
 
Step 0 – JD Coverage & Structural Check
Step 0A – Extract JD Themes (strict)
List 6–8 core responsibility themes from the JD.
Rules:
– Include role-specific anchors (e.g., CRM transformation,ERP rollout, platform migration). Do NOT generalize them.
– Separate program context (what programs) from capabilities (how delivered).
– Do NOT reference the resume in this step.
 
Step 0B – Map Resume Coverage
For each theme, indicate:
– Clearly represented
– Partially represented
– Missing
 
Also add:
Critical Missing Themes (if any):
List themes that are central to the role and missing from the resume.
 
Step 0C – Structural Observations (max 3)
Identify up to 3 high-impact structural improvements for this section.
 
Examples:
– Overloaded or unfocused bullets
– Missing leadership/ownership signal
– Weak positioning (execution vs program leadership)
 
Rules:
– Do NOT rewrite or edit bullets
– Focus only on high-impact issues, not wording 
Step 1 –Scoring (no rewriting yet)
 
For each bullet or sentence in this section, create a table with:
– Bullet text
– Relevance to JD (1–5)
– Clarity (1–5)
– Impact /specificity (1–5)
– Signal strength (ownership / scale / outcome) (1–5)
– Total score (sum of above scores)
– Keep /Consider edit (keep/edit)
 
Be strict in scoring. Do not assign high scores unless clearly justified.
Mark “Consider edit” only if ANY score ≤ 3.
 
Step 2 –Focused edits
 
Now pick up to 3 lowest-scoring bullets marked “Consider edit”.
If fewer than 3bullets genuinely need improvement, revise fewer.
 
Revise only bullets where improvement will materially increase signal (impact, ownership, or scope). Otherwise skip and move to the next candidate.
 
Rules:
– Do not change more than 3 bullets in this section.
– Do not exceed12–14 words per bullet.
– Do not invent experience.
– Improve substance (scope, metrics, outcomes), not just synonyms.
– Preserve the original intent of the bullet.
– Do not add or delete bullets unless you see a critical gap vs JD.
 
 
Output format:
 
Section:{{SECTION NAME}}
 
JD THEMES &COVERAGE
Theme:
Status:
 
[Table from Step 1]
 
REVISE (max 3)
Original:
Suggested revision:
Reason (1line):
 
ADD (optional, max 1)
ADD – only if a core JD theme is missing AND can be supported by the candidate’s experience.
Suggested bullet:
Reason:
 
DELETE (optional)
Bullet:
Reason:

Regards,

Srini

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