All Use Cases

Sales & Marketing Automation

AI scores leads, generates personalized content, and runs multi-day drip campaigns — all in one workflow, no separate tools for each step.

The fragmented sales stack problem

  • Lead scoring lives in the CRM, email sequences in Mailchimp, content in ChatGPT, research in a browser — nothing connects
  • Each tool has its own setup, pricing, and learning curve — you pay for 5 tools to do what one workflow should handle
  • Drip campaigns are static templates — no AI personalization per lead, no dynamic branching based on engagement
  • Market research is manual: open browser, search, copy, paste into a doc, summarize — hours per competitor
  • Handoffs between tools break: a lead is scored in HubSpot but the follow-up email is forgotten in Mailchimp

How FlowTrux solves it

One workflow replaces the entire stack. AI scores the lead, generates a personalized email based on their company and role, sends it via Gmail, waits days with Long Delay, checks engagement, and branches — all without switching between tools. The same Agent that scores the lead also writes the outreach. The same workflow that sends the first email handles the follow-up sequence.

Workflow Pattern

Webhook (new lead from CRM) → Agent (AI: score lead + research company via web_search + generate personalized email) → If-Else (hot/warm/cold) → [Hot: Slack (alert sales) + Gmail (personalized outreach)] [Warm: Gmail (AI-written intro) → Long Delay (3 days) → Agent (check reply + generate follow-up) → Gmail (follow-up) → Long Delay (7 days) → Gmail (final touch)] [Cold: Sheets (log for later)]

Key FlowTrux features

  • AI Agent as the core — one Agent scores, researches, AND writes content in a single step (no separate tools)
  • Long Delay (up to 7 days) — real drip sequences with days between steps, not just email scheduling
  • OpenAI web_search — AI researches the lead's company before writing outreach (personalization at scale)
  • If-Else branching — different paths for hot/warm/cold leads, dynamic based on AI scoring
  • Gmail MCP — sends AI-generated emails with attachments, not static templates
  • Parallel — multi-channel at once: email + Slack notification + Telegram alert

Expected results

3-5 → one workflow
Tools replaced
Hours → seconds
Lead-to-first-email
AI per-lead, not templates
Email personalization
Days → minutes
Drip sequence setup

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