"We consolidated sourcing, outreach, and interview prep into one flow. Our recruiters spend time with candidates instead of copy‑pasting across tools."
— Director of Talent, Growth-stage SaaS
The Challenge
Recruiting workflows sprawl across job descriptions, sourcing on the open web, LinkedIn, spreadsheets or Notion, and ATS updates. Copy‑pasting data, context switching, and login walls create friction and errors. Outreach sequences depend on accurate enrichment, and interview prep often happens minutes before the call.
Teams need a reliable way to go from "open role" to "qualified pipeline, engaged outreach, and prepared interviews" without brittle scripts or manual glue.
The Solution
Opulent OS composes agent workflows with desktop‑grade browser control and first‑party connectors. The same patterns used for market research and observability power recruiting enablement: wide research for discovery, browser agents for gated flows, validation UIs for human‑in‑the‑loop, and governed writes to your ATS or candidate DB.
Flow 1 — “Find me 10 high‑quality candidates”
The agent reads your job description from ATS or a Notion page, expands it into search facets, and conducts wide research across the web. It ranks candidates and adds structured rows to a Notion database or Google Sheet with links, seniority, skills, and rationale.
Flow 2 — “Reach out to these candidates”
The agent reads your candidate list, drafts personalized first touches, and sends messages on LinkedIn using a browser agent, respecting throttling and deliverability guardrails. Replies and status are written back to the sheet/DB and ATS.
Flow 3 — “Prepare my next interview”
Before each interview, the agent reads your Calendar to identify the candidate, compiles a brief: recent activity, portfolio/code, role‑specific questions, and red flags. The brief lands in Notion or your ATS notes a few minutes ahead.
Across flows, human‑in‑the‑loop review gates high‑impact actions. All writes pass through schema validation and deduping, with lineage back to sources and screenshots for audit.
The Results
How to Get Started
Start with one flow and expand. Configure connectors for your ATS (Greenhouse/Lever), data sink (Notion/Sheets), Calendar (Google), and browser agents for LinkedIn. Optionally expose these via MCP so your IDE or assistant can trigger /recruiting commands with guardrails.
Architecture pattern: wide research enumerates candidates → browser agents enrich + handle login → HITL review batches → governed writes to ATS/DB with dedupe and lineage → dashboards track throughput and response rates. Teams typically reach first value in 1–2 weeks.