Gumloop
AI-native workflows you can package into $1,500+ implementations for SMB clients
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What Gumloop is
Gumloop is an AI-native, no-code automation platform built around chaining LLM steps — scraping, extraction, classification, generation — into visual workflows. It includes access to multiple AI models without separate API keys and runs on credit-based pricing. Best for operators selling AI implementations like lead enrichment, content pipelines, and document processing rather than plain app-to-app automation.
Key features
- No-code canvas for chaining AI steps — scrape, extract, classify, generate — into workflows
- Built-in nodes for web scraping, document parsing, and data enrichment
- Access to multiple LLM providers without managing separate API keys
- Chrome extension and browser automation for in-page workflows
- Subflows and templates for reusing client-ready builds
- MCP server hosting for connecting AI agents to tools
💰 Sell it as a service
The offer
Build AI-heavy workflows — lead enrichment, content repurposing pipelines, document processing — for clients who want AI in the business but won't touch a prompt themselves.
What to charge
Charge $1,500-$3,500 per workflow build + $250-$500/mo for credit monitoring and prompt tuning. Position it as an AI implementation, not automation — that framing alone supports 2x the price of equivalent Zapier work.
How it gets delivered
Build flows in Gumloop's canvas, test on real client data, and hand off with a Loom walkthrough. Most builds ship in under a week; retainer work is mostly prompt and credit tuning.
This is one offer. AI Operator Academy is where operators build the full stack — packaging, pricing, fulfillment, and a peer group selling the same services. $999/yr.
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Ready to build with Gumloop?
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