BYOBot

AI Recruiting Pipeline Automation

Every candidate gets the same six steps: screen the resume, schedule the interview, brief the panel, update the ATS, aggregate feedback, prep the offer. You do this for every hire. BYOBot maps your recruiting pipeline into AI automations so your team spends time on relationships, not logistics.

Describe your hiring workflow: we'll build you a step-by-step automation spec you can run today.

First agent free · No account required

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Works with your hiring stack

Greenhouse ATS Lever ATS
Workday HR
LinkedIn Sourcing
Zoom Interviews
Google Meet Interviews
Slack Comms Google Sheets Tracking Notion Docs
Calendly Scheduling
DocuSign Signing
Ashby ATS

One agent for your hiring pipeline. Run it anywhere.

In your AI chat tool
Ready-to-use prompts for any AI chat tool

Paste a resume and job description into Claude or ChatGPT, get a structured screen note with a pass/no-pass recommendation immediately. Or paste panel feedback and get a decision summary. No setup, no integration: recruiters can use this today.

Works with ChatGPT, Claude, Gemini, or any LLM: free to start
In a browser agent
An AI agent processes candidates for you

A browser agent that opens your ATS, reads each new application, scores it against your rubric, drafts the outreach email, navigates to your calendar tool to suggest slots, and updates the ATS with structured notes: with you reviewing and sending before anything goes to the candidate.

Works with any AI browser agent tool
In your stack
Full pipeline automation at hiring scale

An API-driven pipeline that pulls new applications from Greenhouse or Lever, runs structured screening, sends outreach via your ATS, collects panel feedback through Slack or email, aggregates it into a decision brief, and updates every stage automatically. Built for teams running multiple concurrent roles.

Connects to Greenhouse, Lever, Workday, Calendly, or custom APIs

What you get that an LLM alone won't give you

✦ Portable
Download it, use it with any browser-capable AI

A chat answer dies in the thread. Your agent is a file you own: run it in ChatGPT, Claude, or Gemini, drop it into a browser agent, or hand it to your stack, as many times as you like.

✦ Conversational
Training your AI agent is super easy

No prompt engineering degree required. Describe what you do, the tabs you open, the data you move, and BYOBot asks the questions that turn your knowledge into the spec.

✦ Tested
Custom QA milestones in every agent

Every build ships with smoke tests and pass, warn, and fail checks for each step. You'll know it ran right, not just that it ran.

The math

Every candidate gets the same six steps.
How many candidates did you process last month?

Recruiting teams spend an average of 3 to 4 hours of admin per hired candidate: screening, scheduling, briefing, note-taking, ATS updates, feedback aggregation. At 10 hires a month, that's 40 hours of process that looks like recruiting but isn't. BYOBot maps each step into an AI bot you can run in seconds. First build free. Five more for $25: five different workflow specs, ready to run across any role or volume.

$25 USD·S$34 SGD

5 build credits  ·  one-time purchase

No subscription  ·  card, PayNow, or GrabPay  ·  your first build is still free

Roles that run recruiting workflows

Your hiring pipeline, end to end

Recruiting is a high-volume repeating workflow by design: every candidate goes through the same pipeline stages, every interviewer needs the same brief, every panel produces feedback that needs to be aggregated the same way. That structure is what makes recruiting automation tractable. BYOBot maps each stage of your hiring pipeline into a structured automation spec: resume screening against your specific rubric, outreach and scheduling coordination, panel briefs assembled from the candidate's profile and prior interviews, and post-panel feedback aggregation into the hire/no-hire brief the decision-maker needs.

The difference from an ATS like Greenhouse or Lever is the layer BYOBot operates at. Your ATS tracks candidates and manages pipeline stages. BYOBot automates the work that happens between stage transitions: the screening judgement against your rubric, the scheduling coordination across three interviewers' calendars, the panel brief that prepares the interviewers, and the feedback synthesis that turns five separate Slack messages into one decision document. Every BYOBot build produces one portable agent: a prompt for any AI tool, a browser agent that navigates your ATS and scheduling tools, and a pipeline for high-volume automated processing.

Panel feedback aggregation is where recruiting automation has the most visible ROI: every recruiter knows the experience of chasing five interviewers across Slack and email to collect feedback that should have been in the ATS two days ago. BYOBot maps the collection and aggregation loop: sends structured feedback requests to the panel, collects responses, normalizes them against your evaluation dimensions, identifies consensus and disagreement, and produces the brief the hiring manager needs before the debrief. No more chasing. No more late debrief meetings because one panellist hasn't responded.

Related automations: workflow automation for SDRs covers outbound outreach with similar coordination patterns, and data entry automation covers the ATS data hygiene and update loop.

Frequently Asked

BYOBot handles the full hiring pipeline: resume screening against job requirements, candidate outreach and scheduling, ATS stage updates after each interview, panel feedback aggregation into a structured decision summary, offer letter prep, and rejection communications. If your team does it for every candidate, BYOBot can map it.
Greenhouse and Lever are ATS platforms: they track candidates and manage pipeline stages. BYOBot automates the work that happens around the ATS: screening resumes against your specific rubric, drafting outreach and scheduling messages, aggregating panel feedback into a hire/no-hire brief, and updating the ATS with structured notes after each stage. It's the work layer that sits on top of the tracking platform.
Recruiting teams most commonly automate across Greenhouse, Lever, Workday, LinkedIn Recruiter, Zoom, Google Meet, Slack, Google Sheets, Notion, Calendly, DocuSign, and Ashby. BYOBot produces specs that work across any combination: including browser agent scripts that navigate between your ATS, scheduling tool, and communication channels.
Yes. Resume screening is one of the highest-volume recruiting automations: most recruiters spend 60 to 90 seconds per resume on initial screen, which adds up fast at scale. BYOBot maps your specific screening rubric: must-have qualifications, preferred experience, red flags, and role-specific signals. The output is a structured screen note with a pass/no-pass recommendation and the key supporting evidence.
Yes. Panel feedback aggregation is where recruiting automation has the most visible time impact: interviewers submit feedback in different formats, to different places, on different timelines. BYOBot maps the aggregation loop: collects feedback from the panel, normalizes it against your evaluation dimensions, identifies consensus and disagreement, and produces the structured brief the hiring manager needs for the debrief.
Yes. Interview scheduling is the most time-consuming coordination task in recruiting: finding availability across the candidate, the interviewers, and the right rooms or video links. BYOBot maps the scheduling workflow: drafts the outreach to the candidate, suggests available slots from calendar data, generates the invite with the right details, and updates the ATS. The browser agent handles the full browser-based scheduling flow without API access.

Describe your hiring pipeline. BYOBot maps it into a bot: screen, schedule, brief, aggregate, decide.

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