AI Features
Inside CosmoQuick's matching engine, MIRA agent, scoring, summaries, and AI workflows.
23 articles in this category
01
How CosmoQuick's matching engine works
Inside the model: features, scoring, calibration, and feedback loops.
5 min readaiunder-the-hood
02
Reading the Match Score
What each sub-score means and how to act on it.
5 min readscore
03
Improving match quality with feedback
Use thumbs, reasons, and saved-search signals to teach the model.
4 min readfeedback
04
AI Draft: turn one line into a great JD
Generate, edit, and publish a complete JD in under 60 seconds.
4 min readjdai
05
AI Recruiter Co-pilot
An AI sidebar that drafts messages, summarizes pipelines, and suggests next steps.
4 min readcopilot
06
Bias safeguards
What we do to keep matching fair and how you can audit decisions.
4 min readbiasfairness
07
AI Interview Notes
Auto-generate structured notes from your live interviews.
4 min readinterviewnotes
08
AI sourcing search
Semantic search across millions of profiles — describe who you want.
4 min readsourcingai
09
Resume parsing and enrichment
How we turn messy resumes into clean, queryable candidate records.
4 min readparsing
10
Limits and quotas for AI features
Daily/monthly caps by plan and how to request more.
4 min readlimits
11
How recruiter Intel works
Inside the live market intelligence feed for recruiters.
5 min readintelanalytics
12
Candidate Pulse: how it's calculated
Decode the engagement score recruiters see on every candidate.
5 min readpulsescoring
13
The CosmoQuick Match Score, explained line-by-line
How the 0–100 match score is composed from skills, signal, intent, and context.
5 min readmatch-scoreranking
14
Tune AI matching to your team's taste
Use Calibration Mode to teach the model what 'great' looks like for you.
5 min readcalibrationai
15
Bias controls and fair-ranking guarantees
What CosmoQuick does — and does not do — to keep matching fair.
5 min readfairnessbiascompliance
16
AI JD writer: generate roles from a one-liner
Turn 'Senior backend, fintech, hybrid Bangalore' into a polished job description.
5 min readjdai
17
AI interview practice for candidates
Real-time mock interviews with voice, feedback, and rubric scoring.
5 min readinterviewpractice
18
Resume parsing accuracy and overrides
How we extract structured data from any resume — and how to fix mistakes.
5 min readresumeparsing
19
Skill graph: how we normalize 50k+ skills
Why 'React.js', 'react', and 'ReactJS' all roll up to the same node.
5 min readskillstaxonomy
20
Semantic search vs keyword search
When to use natural-language queries vs strict Boolean filters.
5 min readsearchai
21
Pipeline forecast: AI predictions for hiring velocity
Time-to-fill, drop-off risks, and offer-accept probability — predicted in real time.
5 min readforecastanalytics
22
Anonymous mode for first-round review
Hide name, photo, school, and gender pronouns for the first screen.
5 min readfairnessanonymous
23
How match scores are computed
Plain-English walkthrough of the matching pipeline.
5 min readai-and-matchingguide
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