How to Use Iris Resume AI Features: End-to-End Workflow
Key Takeaways
- 1. Before You Start: API Key and Model
- 2. The 4-Step AI Workflow
- 3. Step-by-Step in Product
- 4. Quality Check Before Sending
- 5. Common Mistakes to Avoid
FAQ
What does this guide help you solve about How to Use Iris Resume AI Features: End-to-End Workflow?
This guide focuses on How to Use Iris Resume AI Features: End-to-End Workflow resume strategy so you can improve ATS match quality while keeping your resume clear for recruiters.
How should I apply the recommendations to my own resume?
Follow the workflow in order: align to the target JD, rewrite bullets with measurable outcomes, then run a final structure and keyword pass.
What should I verify before submitting?
Double-check keyword coverage, readability, factual accuracy, contact details, and export format consistency (PDF preferred).
Iris Resume AI works best when you use it as a workflow, not a one-click generator. The goal is simple: faster edits, better evidence, higher interview conversion.
1. Before You Start: API Key and Model
First, set your API key in settings. If you have not done this yet, read the API key guide first, then return to this page.
Model selection tip
- Use a stronger model for final polishing and interview Q&A generation.
- Use a lower-cost model for iterative rewriting and quick experiments.
- Your key is stored locally in browser, not in our server database.
2. The 4-Step AI Workflow
Step 1: Import or Fill Resume
Complete your baseline experience first. AI cannot optimize empty sections.
Step 2: JD Matching
Paste the target job description and let AI identify evidence gaps.
Step 3: Section Optimization
Rewrite summary and bullet points with measurable outcomes.
Step 4: Interview Prep
Generate targeted mock questions directly from JD + resume profile.
3. Step-by-Step in Product
A. Run JD Match first
Paste JD, get requirement clusters, then map each cluster to your real project evidence. This ensures your rewrite is grounded in facts.
B. Optimize module by module
Start with Summary, then key experiences. Keep each bullet focused on one outcome with a number, scope, or timeframe.
C. Compare versions before replacing
Save the old and new versions, then keep only the lines that are clearer and more credible. Do not accept every AI sentence by default.
D. Generate interview questions
Use AI interview prep to test weak spots in your stories before sending applications.
4. Quality Check Before Sending
- Every bullet has action + context + measurable result.
- Core JD requirements appear naturally in your wording.
- Font/layout remain ATS-friendly and easy to scan.
- Export PDF and verify links, spacing, and one-page priority.
5. Common Mistakes to Avoid
- Using AI before writing your factual baseline experience.
- Stuffing keywords without showing business impact.
- Submitting AI output without manual fact-check.
- Using one resume for every role without JD-specific edits.
Quick start route
API key setup → Template selection → JD match → Section optimization → Interview prep. This sequence gives the best speed-to-quality ratio.