Your Personal Recruiting Assistant
Resources
Updated 26 August 2026
Everything we've learned building an AI recruiting assistant that lives inside your ATS - and everything we tell candidates about getting past one.
For companies
How an AI assistant works inside your ATS to source, screen, schedule and reply - without replacing the system your team already uses.
What it means for an AI assistant to run inside your ATS instead of beside it - and why bolt-on tools create a second system nobody maintains.
Structured screening with scored reports and visible reasoning, so your team spends time on qualified candidates.
Run consistent first-round voice interviews at scale and attach scored reports to each candidate record.
Find strong-fit candidates already in your candidate pool instead of paying to source the same profiles twice.
Keep hiring teams in control with visible reasoning on every recommendation, score and automated email.
Why the assistant complements your ATS instead of replacing it - and why that matters for adoption.
What to look for when choosing AI recruiting software that fits into the ATS a startup already uses.
Definition, how it differs from an ATS or sourcing tool, and the main product types.
What Alphie reads from Greenhouse, what it writes back, permissions and setup.
What Alphie reads from Ashby, what it writes back, permissions and setup.
Which pipeline stages can be automated, and which should stay human.
An annotated, fictional example of the report Alphie produces after a voice screen.
What is scored, how the reasoning is produced, and where humans decide.
EU data processing, signed DPA, encryption, audit logs, and strict access controls.
For candidates
How a fit check works, what the score means, and a sample report.
A fit-first approach to applying, compared with auto-apply tools.
An annotated, fictional Rate My Fit report.
How an AI assistant connects to Greenhouse or Ashby, what it can read and write, how the data stays yours, and what the setup actually looks like.
Buyer's guide
An honest, category-first comparison of the strongest AI recruiting tools - what each is good at and where each falls short.
Score your CV against a job description, see where you match, and decide whether to apply before writing a cover letter.
Spot the formatting and content issues that stop applicant tracking systems from parsing your CV correctly.
What applicant tracking systems actually parse, the formatting that quietly breaks them, and how to match a job description without lying.
Build a role-specific brief with likely questions, company context and the talking points that matter most.
Practise a real voice interview and get a scored report on your answers, strengths and gaps.
A practical framework for applying smarter, not harder: fit checking, CV tailoring, interview prep and mock interviews.
Check whether your CV fits a job before you apply, with a score, strengths and gaps.
How AI ranks applicants and past candidates in your ATS, with reasoning recruiters can check.
Automate ranking, screening, scheduling and candidate emails without replacing your ATS.
Book interviews without the calendar back-and-forth, after a human approves the candidate.
Comparison
ATS-native professional hiring vs conversational high-volume screening.
An AI that runs screening interviews vs an AI that takes notes in yours.
Job tracking and matching vs fit checks, CV tailoring and mock interviews.
