Guides and deep-dives on AI-native hiring — the six AI agents, AI interviews, take-home grading, recruiting automation, and ATS integrations.
Recruiting emails go unread; WhatsApp messages get answered in minutes. Here's how async WhatsApp screening works on 100Networks — Pilot runs the conversation, a human stays in control, and the whole thing is HMAC-secured.
Unstructured interviews measure charisma and interviewer mood as much as skill. Structured interviews — same questions, same rubric, comparable scores — predict performance far better. Here's how AI runs them consistently at scale.
Most time-to-hire is lost to screening backlogs, scheduling ping-pong, and redundant interview rounds — not to careful decisions. Here's how AI compresses the slow parts while keeping a human on every real call.
Most hiring dashboards count activity, not outcomes. Here are the recruiting metrics worth tracking — time-to-hire, funnel drop-off, cost-per-hire, source attribution — and how to measure them without manual spreadsheet work.
The offer stage is where good hires slip away — slow approvals, PDF chaos, and zero visibility after you hit send. Here's how structured offer management with approval gates and trackable accept links closes that gap.
Background verification stalls offers because it's a manual chase — forms, follow-ups, waiting. Here's how BGV runs as an automated step in the hiring workflow, triggered at the right stage, with a human still owning the decision.
Keyword-matching ATS filters reject good candidates and pass weak ones. Here's how JD-aligned, seniority-weighted AI resume screening produces a real, evidence-backed score — and why a human still makes the call.
A staffing agency charges a percentage of first-year salary and owns your pipeline. An AI-native platform does the sourcing, screening, and interviewing in-house for a flat cost — and you keep the data. Here's the real comparison.
Résumé keyword screening filters out people who can do the job and lets through people who can't. Skills-based hiring evaluates what candidates can actually do. Here's the practical difference.
Proctoring shouldn't fail a candidate over a flaky webcam. Here's what 100Networks' AI interviews monitor, how proctoring is soft-enforced, and why a human always makes the call.
You don't have to rip out Greenhouse or Zoho Recruit to use AI. 100Networks syncs both ways — your ATS stays the system of record while Pilot screens, interviews, and writes verdicts back.
Keyword search misses the right candidate when their resume uses different words than your query. Semantic search finds people by meaning. Here's how 100Networks does it.
A hiring pipeline is a series of if-this-then-that steps you do by hand every day. Here's how to automate one visually on 100Networks — triggers, actions, and logic, no code.
Take-home assignments give a truer signal than a whiteboard — if you can grade them consistently. Here's how 100Networks auto-grades 8 assignment types against rubrics.
An AI recruiting agent does recruiting work — sourcing, outreach, screening, interviews, notes — with a human approving every action. Here's what that means, using the six 100Networks agents as the example.
100Networks is an AI-native hiring platform built around six AI agents that source, reach out, screen, interview and take notes — conducted by 100Networks Pilot. Here's how it works.
A live AI interview can cover coding, system design, and behavioral evaluation in a single proctored session — with real code execution and a structured, JD-aligned score. Here's how.
Greenhouse is a system of record where your team does the work. 100Networks is AI-native, where Pilot does the work — and the two sync bidirectionally. Here's how they differ.