The 7 Kinds of AI Agents
These 7 categories are based on what AI agents do, not just how they work. You can think of this like a stack of increasing autonomy and collaboration.
1. 🧍♂️ Personal Assistant Agents
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Function: Help individuals with tasks.
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Examples:
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ChatGPT, Claude, or Pi as productivity buddies.
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Apple's Siri or Google Assistant.
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Common use: Scheduling, writing, quick answers.
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Sales example: Email rewriter that helps you reply faster.
🔧 Tools: GPTs, Pi, Siri Shortcuts, Reclaim.ai
2. 🧑💼 Task Automation Agents
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Function: Handle repetitive actions using APIs, scripts, or browser automation.
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Examples:
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Zapier bots
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Make/Integromat agents
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Relay.app agents
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Sales example: When a form is filled out, assign a rep, send an email, update CRM.
🔧 Tools: Zapier, Make, Relay.app, Bardeen, Lindy
3. 🧠 Decision Support Agents
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Function: Analyze data and suggest best actions.
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Examples:
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Copilot in Excel or Power BI
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Salesforce Einstein suggestions
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Sales example: "Here's the top 5 deals at risk" or "this lead is hot because…"
🔧 Tools: ChatGPT + Docs/Sheets, Tableau GPT, Salesforce GPT
4. 🤖 Autonomous Work Agents
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Function: Complete complex workflows without needing much (or any) supervision.
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Examples:
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AutoGPT and BabyAGI (experimental)
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Devin (Cognition Labs)
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AI SDRs that do outbound
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Sales example: Book meetings, send multi-step outbound campaigns, follow-up.
🔧 Tools: AgentHub, Superagent, Cognosys, Devin AI (coming soon)
5. 👯 Collaborative Agents
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Function: Work in teams (with humans or other agents), passing info and tasks.
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Examples:
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Multi-agent setups in LangChain or CrewAI
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Claude + GPT-4 in the same workflow
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Sales example: One agent qualifies a lead, another writes follow-up content, another triggers a campaign.
🔧 Tools: CrewAI, LangChain agents, GPTs with shared memory
6. 🧬 Specialist Agents (Domain Experts)
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Function: Trained on proprietary or domain-specific knowledge.
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Examples:
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Legal AI agents trained on contracts
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Web3 governance bots
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"Chet CRM System" (😉 yours)
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Sales example: GPT trained on your ICP, pitch decks, and email tone.
🔧 Tools: Custom GPTs, RAG systems, GPTs with memory or retrieval
7. 🌐 Networked Ecosystem Agents
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Function: Interact across platforms and contexts—part of a decentralized "mesh" of agents.
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Examples:
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Agents that connect wallets, CRMs, websites, and email
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AI agents on blockchain (e.g., Fetch.ai, Autonomous Worlds)
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Sales example: An agent that syncs CRM status with customer on-chain behavior and adapts messaging in real time.
🔧 Tools: Fetch.ai, Autonolas, Web3 agents, AI agents using WalletConnect, ChatGPT API + Webhooks
🧩 TL;DR Table
Type | Role | Sales/Marketing Example |
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1. Personal Assistant | Helps you think/do faster | Email reply or rewrite |
2. Task Automation | Automates workflow steps | Form > CRM > Email |
3. Decision Support | Gives you better insights | Forecast, lead scoring |
4. Autonomous Worker | Does the job for you | AI SDR books calls |
5. Collaborative | Works in agent teams | One agent qualifies, one emails |
6. Specialist | Trained on your biz/data | Custom-trained sales GPT |
7. Networked | Web-wide or on-chain mesh | Wallet-aware customer agent |
Let's talk about your options.... Obligations... And opportunities!
David
617-331-7852
- Growth Actions: DavidCutler.net
- Web3 Applied: TruthRefinery.com
- Circular Partners: CircularLabs.io