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Your pipeline at a glance.
What to do today
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Pipeline
Review queue
AI recommendations
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Run the Lead Finder first
Lead Finder
Search globally. Leads are found, scored, and enriched. Messages are generated in Conversation Lab.
Run History
Every search saved automatically.
No runs yet
Select a run from the list
Lead Bank
All leads across all runs. Status synced automatically from Conversation Lab.
No leads yet
Conversation Lab
Generate outreach, manage replies, run Surgeon briefs.
No leads in bank
💬
Select a lead to open their thread
Generate messages, paste replies, run Surgeon analysis
Settings
Targeting
Scoring
Outreach
System
Ideal Customer Profiles
Define the business types you target — search terms, tier, and disqualifiers per ICP.
Signal library
Observable triggers that tell you a lead is ready to buy now — not just who they are, but why today. Each signal adds a fixed score.
Tiers
Tiers determine how much time each lead deserves. Multiplier scales the final score. Score cap limits the maximum regardless of other factors.
Name
Min basket (AED)
Max basket
Multiplier
Score cap
Scoring criteria
Define what each data point is worth. Select an ICP to override the global defaults for that segment.
Score thresholds
Message settings
API connections
Green dot = connected and tested. Grey = not yet configured. Click Get key to open the provider's settings page.
Data pipeline
Control which sources fire during enrichment and in what order. Free sources always run first. Toggle off to skip entirely.
Cost intelligence
Every token tracked and costed. Based on Claude Sonnet pricing — $3 input / $15 output per million tokens.
Cost per run
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