sales-nav-deep-fill

Sales Navigator prospect filtering uses a pipeline-filter subagent to instantly remove mismatched profiles based on title and industry, ensuring only ICP-aligned candidates proceed to deep research without wasting API costs.

Automating B2B lead generation from Sales Navigator involves pre-filtering candidate lists against your ICP, then executing deep research only on qualified survivors to build a high-quality pipeline efficiently.

Yes, harness-mode research provides full visibility into the deep research process, allowing operators to interrupt or review prospect findings mid-stream during pipeline generation.

Yes, B2B sales development tasks using this pipeline-fill research engine require manual oversight of the research pipeline to ensure ICP alignment and review deep research findings.

Manual Sales Navigator prospecting wastes compute because it skips ICP pre-filtering, meaning deep research runs on mismatched profiles; automating pre-filtering ensures only survivors incur API costs.

You invoke the sales-nav-deep-fill skill to preview and filter 30 prospects from your current Sales Navigator search for the target campaign, triggering the save chain via the pipeline-fill research engine.