A first pass on every resume, before you open it.

Every model output in rinkats is a read for a person, never a decision. Then the same board is open to your own agents, so the work you would hand a junior can be handed to a tool.

Four drafts

Each grounded in the candidate's own resume and your requirement, each shown with its reasoning.

  • Profile from a resume

    Headline, summary points, skills with months, the timeline of roles. It waits until you accept it, section by section, or keep your own.

  • Candidate summary

    A one-line read, strengths with evidence, the career arc, watch-outs, a stability read and verification flags. Flags, never verdicts.

  • Fit against a requirement

    A score with the reasoning shown. Loud on purpose, because it is the one thing that should pull your eye. It never moves a card.

  • Interview questions

    Questions from the candidate's history and the role, a place to record answers, and an evaluation of the recorded responses when you ask.

Ananya Krishnan0.86Senior Backend Engineer, payments
Strengths
  • Distributed systems — designed the ledger service that handles 40k TPS at Bramble Commerce (2024–26)
  • Ownership — on-call lead for payments for two years; wrote the incident playbook the team still uses
  • Mentoring — grew two juniors into SDE-2 in under 18 months
Career arc

Started in a services firm (Orrin Systems, 2019), moved product-side at Tessellate in 2021, then Bramble Commerce in 2024 — each move a step up in scale and scope.

Concerns
  • Two roles in 18 months (2021–22) — worth a question, both moves read as growth, not churn
  • No hands-on Go, which the client lists as preferred
Verification flags
  • Verification checkoverlap-datesTessellate end (Mar 2024) overlaps Bramble Commerce start (Feb 2024) by one month — Check: Ask which was the notice period (low confidence)
AI-drafted from the current resume — verify important details against the resume. Updated Today, 9:12 AM.
≈20%of the work week saved by recruiting teams experimenting with or integrating generative AI. About a day a week.LinkedIn Future of Recruiting, 1,271 recruiting professionals, 2025
46%of staffing firms say AI cut their screening time in half or better.Bullhorn GRID report, ~2,300 recruitment professionals, 2026vendor survey
37%of job seekers trust AI to select qualified applicants; 79% want to know exactly how AI is used in hiring.Josh Bersin Company, 2025

What it never does

The lines are drawn in the product, not in a policy document.

  • Never rejects

    No candidate is dropped by a model. A terminal move is a person's decision, with a reason, and it is recorded.

  • Never speaks to a candidate

    The model's words stay inside your workspace. Invites go out only when a person, or an agent acting as one, schedules a meeting.

  • Never crosses organisations

    Candidates, resumes and AI spend belong to one organisation. Nothing learned about your candidates helps anyone else.

How screening works, as a picture: the model sweeps every seat on the board against the requirement and lights the one worth a call. It does not clear the others.

  • Reads, not verdicts

    A fit score, a summary, a set of questions. Each one shows its reasoning and each one can be ignored. Nothing a model writes moves a card.

  • Your keys, your models

    Bring your own provider keys. A recruiter can carry a personal key, the organisation can hold shared ones, and usage is visible per key.

  • Off is a real setting

    Any AI feature can be switched off for the whole organisation. The board, the candidates, the interviews and the fees keep working without it.

Your agents, on the board

Your assistant already reaches your calendar, your mail and your documents. Over MCP it reaches the board too, and one request can span all of them. Every change it makes carries the name of the person whose key it holds.

Your assistantClaudeChatGPTGeminiCursorCopilotWindsurfPerplexityMistraln8nZapierLangChainyour agent
Your board
SrcScrSubIntOff

Reads and writes, as you

The same agent already reachesCalendarMailDriveNotionSlackTeams
10,000+active public MCP servers and 97M+ monthly SDK downloads. MCP is used by ChatGPT, Cursor, Gemini, Microsoft Copilot and Visual Studio Code.Anthropic, 2025

Things people ask their agent

  • Which candidates on the Payments role have not moved in ten days? Draft a follow-up note for each.
  • Show me everyone screened for Meridian Pay with Kafka experience and more than five years.
  • Move Ananya to client interview and note that the client confirmed Thursday at eleven.
  • Create a requirement for Kestrel Capital: senior product designer, Bengaluru hybrid, two openings, target end of month.
  • Summarise the pipeline for every requirement due this month, with the risk on each.
  • Add an internal comment on PAY-3: the notice period is negotiable, confirmed on the call.
  • List the open roles we publish, with the ones marked featured first.
  • Which placements have a fee due this week, and which invoices are still unpaid?
  1. Create an API key

    Account, then API keys. A key is scoped to you and your organisation; revoke it any time.

  2. Add the server to your agent

    One block of configuration, the same for every MCP client.

    { "mcpServers": { "rinkats": { "url": "https://www.rinkats.com/api/mcp/recruiter", "headers": { "Authorization": "Bearer rk_p_…" } } } }
  3. Ask

    The agent discovers the tools on its own. A move it makes is a move on the board, recorded as yours.

Every statistic on this page links to its source. Read at the source on 15 Sept 2026; tell us if one has moved.

  1. LinkedIn Future of Recruiting, 1,271 recruiting professionals, 2025
  2. Bullhorn GRID report, ~2,300 recruitment professionals, 2026 (vendor survey)
  3. Josh Bersin Company, 2025
  4. Anthropic, 2025

Start with one requirement.

Tell us about your desk and we will set your workspace up with you, with your own roles on the board from the first day.