What matters most in this role?
Explore the brief, clarify unfamiliar terminology and prepare questions connected to the actual responsibilities.
An AI assistant that already has the candidate, the role and the conversation in context. Ask better follow-up questions, understand candidate fit and turn interview evidence into a recommendation - in the same workspace where you run the interview.
Chat with the candidate's CV, the job description, your notes and the live transcript at hand. Use a ready-made action or ask in your own words. The context builds as you work, from preparation to the final write-up.
Explore the brief, clarify unfamiliar terminology and prepare questions connected to the actual responsibilities.
Use the CV and role requirements to prepare relevant questions and follow-ups, while keeping the same assessment criteria across candidates.
Use the live transcript and candidate context to find useful follow-ups without moving the conversation into another tool.
Organize facts against requirements. See relevant experience, partial matches and gaps, then add your own assessment.
Choose sources for each section, draft in your structure and branding, and refine the report block by block.
Draft a feedback message from the same interview context and your decision. Check the reasoning and wording before you send it.
A general chat can help when you bring the right material. ReCo brings that work into the interview itself: the CV, role, questions, notes, transcript and AI stay together.
Keep the brief and reusable interview guide ready. Add the CV and prepare for this candidate.
Run the conversation with a live transcript, your notes and context-aware AI beside the CV. No meeting bot joins.
Create structured notes, candidate feedback or a recommendation. Select the evidence, edit any paragraph and export the report to Word.
Transcription, AI, CV and job description, notes, CV anonymization and report editing in one place. Less copy-pasting, tool-switching and explaining the context again. More time for the conversation, candidate assessment and the finished report.
HR Hints already used ChatGPT and transcription. Its case describes a change to the whole workflow: fewer tools and over 5 hours recovered per week. This is one team's experience, not a controlled comparison of AI models.

Piotr Lewandowski · Talent Business Partner
HR Hints · Recruiting agency
Keep the same requirements and report structure for each candidate. Different evidence and degrees of fit become easier to see.
Choose which material feeds each report section: the transcript, CV, job description or your notes. Write manually or regenerate one block.
CVs are anonymized automatically and you can check the result. Edit transcript content manually before AI uses it. No audio or video is stored.
Source candidates in your usual tools. Prepare, interview and write up in ReCo. Move the finished recommendation into your ATS or recruitment CRM.
There you search, identify, and reach candidates.
You've got one workspace for all your calls — with full candidate & role context and AI support before, during, and after every interview.
There you store candidate information, manage relationships, and track the hiring process.
ReCo is an independent product, not affiliated with OpenAI. ChatGPT is an OpenAI product name. ChatGPT capabilities
From interview to recommendation. 50–80% faster.
Less than the cost of writing one recommendation report manually.
The same workspace for the whole team, priced around its size.

Interview admin went from the heaviest part of the day to something that barely registers.