Documentation
Natural language AI for your career workspace—ask in plain English, get structured guidance on your resume, or describe edits and see them in preview before you save.
Overview
Tailorly 2.3 is built around natural language: you type what you want in the chat, and the product decides whether you are asking for advice (read-only coaching) or edits (changes to your resume preview).
- Advice uses your resume as context, streams a scannable answer (headings, numbered steps, emphasized keywords), and does not apply changes until you ask for an edit separately.
- Resume editing understands whole sections, single roles or projects, bullet-level tweaks, and multiple sections in one request. You review diffs, accept what you like, then save.
AI can make mistakes. Treat scores and suggestions as guidance—verify before applications.
What advice does
When your message is treated as advice, Tailorly answers like a recruiter-minded coach: direct, honest, and grounded in the resume you have loaded. The model receives your resume structure (profile, summary, experience, projects, skills, education, certificates) as read-only context.
Your wording is mapped to an internal advice mode(for example ATS focus, job match, full review, improvement ideas, career coaching, or general Q&A). Each mode follows a fixed response blueprint so answers stay consistent and easy to scan.
- Section titles use clear headings so you can jump to verdict, gaps, or next steps.
- Numbered steps keep the title on the same line as the number; sub-points sit on the next lines so lists render tightly.
- Important skills, tools, roles, metrics, and section names are emphasized so you can skim.
- No invented jobs or numbers—if data is missing, the answer says so.
Prompt library
Copy any line into chat and adjust names or paste a job description where noted. These map to the six advice modes used in Tailorly 2.3 (review, ATS, improvement, coach, job match, general).
Give me a blunt resume review for a senior backend role: verdict, top weaknesses, and whether I should apply as-is.
Review my resume like a hiring manager—what is working, what is weak, and what are the five highest-impact fixes?
Critique my experience and projects sections only; ignore the rest. Be specific about bullets and metrics.
Rate overall resume quality for competitive tech hiring and tell me if the structure helps or hurts a six-second skim.
Give me an ATS-style score for parsing and keyword strength. Call out layout or wording risks that could hurt automated screening.
How ATS-friendly is my resume for a big-company applicant tracking system? Separate parsing from keyword ranking.
What would stop this resume from ranking well even if a human likes it? Focus on ATS gaps, not generic fluff.
Estimate my ATS score and list the top ten honest improvements—do not inflate the number.
How should I make my resume more results-driven without inventing numbers I do not have?
What are the biggest improvement areas for my bullets and summary, in priority order?
Show me three before/after examples for weak lines on my resume—keep achievements truthful.
Give concise resume writing rules tailored to what you see in my file—action-result phrasing, impact first, less filler.
Based on my resume, what roles am I realistically positioned for in the next 90 days—strong fit, moderate, and stretch?
I want to move from support to junior data roles. What is blocking me on paper and what should I do first?
Give me a practical 30-day plan: resume tweaks, one project focus, and networking steps.
Should I apply now or improve my resume first for frontend roles? Give a clear recommendation.
How well does my resume match this job? Here is the posting: [paste full job description].
Compare my background to this role—what will a recruiter love on first scan and what will worry them? [paste JD]
What keywords and themes am I missing for this job without stuffing buzzwords? [paste JD]
Is this role a stretch for me on paper? Separate real skill fit from how the resume presents me. [paste JD]
What keywords should I prioritize for a cybersecurity analyst resume if my background is IT support?
How do I explain a six-month employment gap without sounding defensive on the resume?
What is the strongest detail in each major section of my resume and what is still missing?
How should I format file names and section titles so recruiters and systems both parse cleanly?
Resume editing — how it works
Tailorly classifies what you type into routes such as change existing content, add new content, advice only, multiple sections in one go, job search, or apply flows. You describe intent in normal sentences; the system picks scope (which part of the resume) from your words and context.
If you say things like "improve my experience section" or "make all projects stronger," Tailorly targets the entire experience or projects block. If you name a company, product, or title, it can narrow to a single role or project.
- Ordinals work: first, second, last job or project (aligned with your resume order).
- Sometimes the UI asks you to pick which experience or project—you choose, then the edit runs with that scope.
You can ask for a specific shape: number of bullets per role, shorter bullets, stronger metrics where you already have numbers, fixing a title or dates, or rewriting only the description for your current job. Say what must stay truthful.
One message can update two or more different parts of the resume (for example summary and experience, or skills and a new project). The product runs the work in sequence and surfaces a combined result—still review before accepting.
Example phrasing
Update my professional summary and tighten the bullets in my experience section for a product role.
Rewrite my skills to match this job and add a new project for the analytics dashboard I shipped last year. [paste short context]
Fix my summary and make my projects section more technical without changing employers or dates.
Ask in one block to align the whole resume to a role: paste the job description and state the target title or level. Follow up with smaller edits if you want to shorten, de-duplicate, or adjust tone.
Tailor my entire resume to this posting—keep facts accurate and mirror important themes from the JD. [paste job description]
- Changes land in the preview first; use accept when the text matches what you would send.
- Reject or re-ask if something is off—tighten instructions and send again.
- Persist with Save when you are happy with the document.
Resume pieces you can name in chat
You do not need special syntax—say "summary", "experience", "first job", "projects", "skills", "education", "certificates", or "profile" (name, contact, links). Cover letter content is available when you use that workflow in the app.
Profile
Name, title, email, phone, location, LinkedIn, GitHub
Summary
Professional summary paragraph
Experience
Roles, companies, dates, descriptions and bullets
Projects
Name, description, technologies, links
Skills
Grouped or flat skill lines
Education
Degree, school, year
Certificates
Name, issuer, date
Job context
Paste a posting when you want match or tailoring advice
In-chat help
Inside the Tailorly workspace chat, you can open the built-in quick reference when you want a compact list of optional shortcuts and valid section names—it is there for power users. Day-to-day, plain sentences are enough for advice and edits.
Tips
Separate coaching from edits
Ask for feedback first; when you agree with the plan, send a follow-up that says exactly what to change on the resume.
Paste job descriptions once
Put the full posting in one message, then refer to "the posting above" in follow-ups to stay coherent.
Be explicit about truth
Say when metrics must not be invented or when employers and dates must stay fixed.
Scope clearly
Name the section and whether you mean every entry or only your current role.
Review before saving
Treat preview as staging—only save when the resume matches what you would send.