Explore the Directory

The AI meeting intelligence to task automator is a high performance agentic system built using n8n Fireflies ai and Claude 3.5 Sonnet to autonomously transform verbal discussions into actionable project data. By integrating meeting transcripts with CRM and project management tools this system uses multi agent reasoning to identify action items assign owners and update sales pipelines without any human logging. It solves the massive productivity drain of manual meeting follow ups and data entry ensuring that every strategic insight from a call is immediately translated into operational momentum. This workflow is essential for lead generation teams who need to move from conversation to conversion with zero friction.

A coordinated agentic flow that sequences email, LinkedIn, and Twitter outreach. Each message is uniquely crafted by Claude based on the prospect's recent public activity and company news.

An autonomous multi-agent system that monitors new leads, enriches them with real-time company data using Clay and Claude Opus 4.6, and scores them against dynamic ICP criteria. In 2026, this workflow reduces manual research by 95% and ensures sales teams only talk to qualified prospects.

**What This Workflow Does** This workflow automates the top-of-funnel sales process while keeping a human in control. An agent scrapes websites for new leads, scores them against your ICP, and drafts a personalized email. Instead of sending automatically, the workflow **pauses** and sends a Slack notification for a human to review and edit the draft before it goes out. **Who It's For** Sales Development Reps (SDRs) and Growth Marketers who want AI efficiency without losing the 'Human Touch' on high-value accounts. **What You'll Need** - n8n or OpenAI Agents SDK - Firecrawl (for scraping) - Slack Webhook - Estimated setup time: 1 hour **What You Get** - 100% brand-safe outreach (reviewed by you) - 4x increase in lead processing volume per rep - 15 hours/week saved on research and drafting

## What This Workflow Does This workflow moves beyond static lead scoring by using Google's Vertex AI to predict conversion probability based on real-time behavior. A CrewAI 'Scoring Squad' analyzes intent signals (website dwell time, social interactions, email engagement) and updates your CRM with a 'Heat Score' (1-100) every 60 minutes. Input: CRM activity logs. Output: Prioritized daily call list. ## Who It's For Sales Ops and RevOps teams at mid-market companies where sales reps are wasting time calling low-intent leads and missing 'Hot' opportunities. ## What You'll Need - Google Vertex AI access - CrewAI library - Antigravity SDK (for real-time data streaming) - HubSpot or Salesforce API - Estimated setup time: 2 hours ## What You Get - 40% increase in lead-to-meeting conversion rates - Real-time prioritization of high-intent buyers - Elimination of manual 'gut-feel' lead grading - Saves 12 hours/week for every Sales Rep

## What This Workflow Does This workflow automates hyper-personalized B2B outreach by deploying a multi-agent CrewAI team via the Antigravity CLI. A Researcher agent scrapes a prospect's recent activity, a Copywriter drafts a unique, context-aware email, and a Manager agent reviews the output for 'human' tone. Input: LinkedIn URL or domain. Output: A personalized outreach draft ready for sending. ## Who It's For SDRs, Founders, and Agency owners who are tired of mass-blast sequences and want to scale deep personalization to improve reply rates by 3-4x. ## What You'll Need - Antigravity CLI installed (Go-based) - CrewAI Python library - Google SDK (Gemini 3.5 Flash API key) - Firecrawl API key for web scraping - Estimated setup time: 45 minutes ## What You Get - 100% unique outreach drafts for every prospect - Elimination of 'AI-sounding' templates - Automated research dossiers for sales calls - Time on lead research reduced from 15 hrs/week to 2 hours

## What This Workflow Does This workflow automates the entire top-of-funnel sales process. It uses Apollo.io to find leads matching your ICP, enriches them with LinkedIn data via Apify, generates hyper-personalized emails with `claude-3-5-sonnet`, and schedules them via Instantly.ai. It handles the 'last mile' by using an AI concierge to book meetings from replies. ## Who It's For B2B SaaS Founders and lean growth teams who need to scale outbound without hiring a full-time SDR team. ## What You'll Need - n8n account - Apollo.io API key - Anthropic API key - Instantly.ai or Smartlead account - Estimated setup time: 2–3 hours ## What You Get - 100% automated lead research and personalization - 10–15% reply rate through hyper-personalization - 15 hours/week saved on manual prospecting - Consistent sales pipeline that runs 24/7

## What This Workflow Does This workflow automates the most tedious part of sales: lead research. It triggers whenever a new lead is added to your CRM, scrapes their company website and LinkedIn profile using Firecrawl, and uses `claude-3-5-sonnet` to score the lead against your ICP and draft a hyper-personalized outreach email. ## Who It's For Sales Development Representatives (SDRs) and RevOps managers who want to stop spending 20 minutes researching every lead and start focusing on high-value conversations. ## What You'll Need - n8n account (self-hosted or cloud) - Anthropic API key - Firecrawl API key (for web scraping) - CRM access (HubSpot or Salesforce) - Estimated setup time: 45–60 minutes ## What You Get - Complete lead profile enriched with recent news and tech stack data - Automated lead scoring (1-100) based on your custom ICP rules - Personalized outreach drafts that actually get replies - Saves 10-15 hours/week per SDR

An end-to-end automated workflow that captures leads from multiple sources (web forms, ads, calls, LinkedIn), enriches their profiles with AI, scores them against your ICP, updates CRM in real-time, and triggers personalized multi-channel follow-up sequences — all without human intervention. Based on Zapier's analysis of 10,000 AI workflows, lead management is the #1 use case for AI automation, accounting for nearly 30% of all production workflows.

# Autonomous Lead Research Agent Blueprint 🎯 **Workflow Summary** A multi-agent system that monitors LinkedIn and news signals to identify high-intent leads. It researches their recent company news and personal posts to draft hyper-personalized outreach that feels 100% manual. 🧩 **Component Stack** | Component | Tool/Service | Role | |-----------|-------------|------| | Signal Monitor | Clay | LinkedIn & News scraping | | Research Agent | Perplexity API | Real-time web research | | Writing Agent | Claude 3.5 Sonnet | Personalized draft generation | | Outreach | Instantly.ai | Automated email sequencing | 🔄 **Workflow Diagram** ```mermaid flowchart TD A[Clay monitors LinkedIn] --> B{Lead Found?} B -->|Yes| C[Perplexity Web Research] C --> D[Extract Recent News] D --> E[Claude 3.5 Sonnet] E --> F[Draft Email via Persona] F --> G[Push to Instantly.ai] ``` 🤖 **AI Model Recommendations** - **Task**: Web Research - **Model**: `perplexity-sonar-large` - **Why**: Best at retrieving real-time data with citations. - **Task**: Email Drafting - **Model**: `claude-3-5-sonnet` - **Why**: Most human-like writing tone; avoids "AI-sounding" cliches. 🛠️ **Tool & API Stack** - **Clay**: ⭐⭐ (Requires learning data mapping) - **Instantly.ai**: ⭐ (Plug and play) 📋 **Step-by-Step Build Order** 1. Set up a Clay table with your ICP (Ideal Customer Profile) criteria. 2. Add a LinkedIn scraper column. 3. Use the Claygent (Perplexity) to find recent 10-K filings or news. 4. Pass all data to Claude to write the email. 5. Auto-sync the 'Ready' leads to an Instantly campaign. 💻 **Starter Code Scaffold** ```python # Clay handles most logic, but for custom agents: async def research_lead(company_name): news = await perplexity.search(f"latest strategic news for {company_name}") return news ``` 💰 **Cost Estimate** - **Starter**: ~$150/mo (Clay Pro + Instantly) - **Growth**: ~$500/mo (High volume scraping) ⚠️ **Gotchas & Best Practices** - Always include a "Human-in-the-loop" step before sending if your ticket size is >$10k.