In development. Code will be opened at release.
Your experience exceeds your job title.
Tell your AI about your experience. It builds a résumé snapshot — a card of your experience made of codes and numbers, without your name, employer names or contacts — and then looks for matching jobs, answers companies’ questions and calls you when your decision is needed.
Sound familiar?
Entering the same information on yet another platform.
Explaining experience that a job title cannot capture.
Applying without knowing which requirements are met and which need clarification.
Answering a company bot and getting rejected by a keyword auto-filter — before any human conversation.
While you do your own work, your AI works for you.
It builds the résumé snapshot, tracks matching vacancies and invitations, answers companies’ routine questions from your résumé and tells you when your decision is needed.
Today a candidate spends hours on forms and chats with company bots, nobody reads the answers, and the rejection comes from a keyword auto-filter. In A2A Work questions are asked in codes and to the point, answers are grounded in the résumé, and the decision to talk is made by people.
- Answers to companies’ questions refer to a résumé line, not a guess.
- You accept the invitation; you send the first message.
- No repeated forms: one snapshot, any number of nodes and companies.
What the candidate’s AI does
without your involvement
- builds and updates the snapshot
- finds vacancies your experience closes
- answers coded questions with grounds in the résumé
- watches invitations and updates
- drafts messages
What stays with you
- publish your résumé snapshot — then companies can see it
- accepting an invitation
- sending the first message
- confirming a disputed fact
The résumé snapshot is how companies find you.
The snapshot describes what you did, for how long and in what conditions. Companies search by it, not by words. More is derived from the text than is written in it: months of experience, professions, adjacent professions.
Search compares snapshot with snapshot. Your place in the results depends on how many of the vacancy’s requirements your experience closes.
Missing details are clarified by your AI through questions. Every answer is grounded in a résumé line.
What the network sees — and what it does not.
For search, the network receives only codes and numbers. Text, name and contacts you share yourself — only after mutual interest, directly with the company you choose.
- Occupation codes and codes of what you did
- Months worked at each job
- Education level
- Region
- Name and contacts
- Employer names
- Résumé text
Your analytics.
The report is computed from the snapshot on your device: experience by job and its dynamics, level on the experience scale, transfers to adjacent professions, likely questions from companies — with a hint on what to add to the résumé beforehand.
- Experience by job — months, professions and actions of each job.
- Dynamics — how your profession changed from job to job.
- Transfers — which adjacent professions your experience transfers to.
- Likely questions — what companies will most likely clarify, and what is worth adding beforehand.
This is not a rating and not a hiring forecast.
The same rules for everyone.
You cannot buy a higher position. The same snapshots produce the same results on any node.
- No paid ranking boosts.
- Search by snapshots works under one rule set for all candidates and all companies.
- Equal participation describes the network’s rules, not a promise of identical hiring outcomes.
How to get started.
Choose how to connect your AI.
Through an AI application, a web chat with the browser extension, or a web entry point on a node.
Build and review your résumé snapshot.
Tell your AI about your experience — it will build the snapshot. Check that it reflects everything correctly.
See analytics and respond to invitations.
Follow which vacancies your AI finds, and make decisions when they are needed.