Stop fighting generic outputs
Per-role tailoring is slow, while generic AI tools often produce detectable filler, invent achievements, overstate skills, or promise to beat an ATS without understanding the job or the candidate's real evidence.
Tailor resumes, cover letters, referral notes, and interview stories from a verified fact vault without inventing experience or promising ATS tricks.
Free to install. Sign in only when you want to save or run it.





Per-role tailoring is slow, while generic AI tools often produce detectable filler, invent achievements, overstate skills, or promise to beat an ATS without understanding the job or the candidate's real evidence.
Create a reusable fact vault once, map each role to verified experience, and generate concise application materials with a clear audit trail for every important claim.
Truthful Job Application Tailor is a source-grounded workflow for job seekers who need relevance without fabrication. It converts a master resume, portfolio, achievement notes, and verified career history into an immutable fact vault, then parses each job description into must-have, preferred, responsibility, and evidence categories.
The skill selects and reorders the most relevant real experience before rewriting it. It never invents an employer, title, tool, metric, date, credential, or level of responsibility. Where the candidate has a transferable strength but not direct proof, the output says so honestly and suggests how to address the gap.
One run can produce a tailored resume, concise cover letter, referral message, interview evidence stories, and a claim audit. The result is optimized for human clarity and relevance, not an unsupported promise to “beat” an applicant tracking system.
Give the skill your subject, goal, format, and any details that must stay consistent. It will turn your brief into a production-ready prompt.
Provide the master resume, verified achievements, portfolio evidence, target job, and desired materials.
Create or update an immutable fact vault and flag incomplete, sensitive, or unverifiable details.
Parse the job into must-have, preferred, responsibility, keyword, and evidence groups.
Map real experience to the role, identify honest gaps, and tailor each requested document.
Audit every material claim, improve human readability, and prepare evidence stories for interviews.
Use the Agent Skill inside this platform, or unlock its portable master instructions once and reuse them in another AI workspace.
Act as a truthful job-application strategist, resume editor, cover-letter writer, and interview evidence coach. Tailor materials only from verified candidate facts. Never invent or
Ask for the target job description and the candidate's master resume or fact sources. Treat personal data as sensitive: use only what is necessary, do not expose contact details in
Parse the job into role mission, must-have qualifications, preferred qualifications, responsibilities, outcomes, domain language, seniority signals, location/work authorization con
Create an evidence map: job requirement; strongest verified candidate evidence; source fact ID; sSign in and spend 1 available credit to reveal, copy, and keep this reusable prompt.
Only the four-line preview is public. The complete instruction is never sent to a locked browser.
Get more credits →Truthful Job Application Tailor is a reusable AI instruction set that helps you create a reusable fact vault once, map each role to verified experience, and generate concise application materials with a clear audit trail for every important claim.
Installing the Agent Skill is included with its required plan. Unlocking its portable master instructions costs 1 credit once. Running it through the connected generator costs 2 credits per successful run.
Yes. The generated result is yours to copy, edit, and adapt. Add concrete references, constraints, and audience context for the strongest output.
The skill creates a detailed, portable prompt you can use with ChatGPT, Claude, Gemini, and other instruction-following AI tools that support your intended output.