This week’s issue in a nutshell:

→ Blueprint: Lead Enrichment + Outreach Make Scenario (free for 48 hours)

→ Deal: 3 months of Make + 50% discount

→ Guide: How to build an AI agent with Make

Make Scenario (free for 48 hours) → Check it out

A form submission lands. Eight seconds later the lead is enriched, scored out of 100, assigned to the right owner, written into HubSpot, and sent a personalized first email. No one touched it.

I built this in Make and I'm giving away the blueprint. 15 modules, importable, with a readme that walks through every placeholder and includes swap recipes for Hunter, Clearbit, Airtable, Notion and Instantly. Plug in your own CRM or enrichment tools.

Eligibility Criteria: Not currently a paying customer of Make. Company less than 5 years old with less than 50 people and not providing AI automation services.

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Most automation breaks the moment reality stops behaving. A scenario that syncs rows between two apps works fine until someone types an address into the name field. Then it fails, and you fix it by hand.

AI agents fill that gap. They handle the parts of a workflow that need judgment instead of rules.

This guide walks through building one in Make from scratch: planning, scenario setup, configuration, tools, knowledge, and testing. Everything here comes from Make's own documentation for the Make AI Agent (New) app.

One note before you start. The new version of the app launched on February 2nd, 2026 and is in open beta, so functionality and pricing may still change. It works on all plans using Make's AI provider, with custom AI provider connections available on paid plans.

An AI agent is an AI system that independently performs tasks for you based on your instructions. In Make, that means a specific module you drop into a scenario, not a separate product.

Seven concepts do most of the work:

Large language model (LLM). The brain the agent uses to think and make decisions. Without it, the agent can't understand or respond to requests.

AI provider. The connection between your agent and an LLM. Common providers include OpenAI, Gemini, and Anthropic Claude. Make's own AI provider connects to LLMs without needing an account with any provider.

Reasoning. The agent's step by step thinking, so you can understand each decision and debug when something goes wrong.

Instructions. Guidelines that define the agent's role and behavior, including goals, steps, and rules that apply across all tasks.

Knowledge. Reference information stored in the agent's memory, such as FAQs, brand guidelines, company policies, and internal documentation.

Input. Variable information the agent processes each time it runs, including specific requests and data from third party services.

Tools. Connections to third party services like email, databases, and CRMs. In Make, tools are modules, scenarios, MCP server tools, and other agents.

If you’re looking for more value from your NCF membership, Pro membership gives you access to:

Currently discounted to $149/lifetime with a price increase coming soon.

We have various sponsorship options for businesses of all sizes. We’ve worked with 1-person startups to global companies like Squarespace, Pipedrive, Intercom and Stripe. We focus on companies that are a good fit for our members.

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