AI Automations & Emerging Tech

Strategic Context

This isn’t a step-by-step guide. It’s a sandbox—a flexible, exploratory space to play with AI tools, build automations, and reimagine what marketing looks like when you trade rigid workflows for intelligent systems.

Crypto moves fast. AI moves faster. Together, they give marketers unprecedented power to automate, generate, and personalize at scale. But only if you know how to experiment well. This module helps you start.

What is Vibe Marketing?

Vibe Marketing is what happens when Vibe Coding meets marketing.

Coined by Andrej Karpathy, Vibe Coding is the practice of describing what you want in natural language and letting AI generate the logic, code, or application for you. In the context of marketing, this means that marketers can input high-level directives—such as "Create a social media campaign targeting eco-conscious Gen Z consumers with a playful tone," and AI tools will generate the corresponding content, visuals, and deployment strategies.

Marketers are no longer just creators, they're conductors, orchestrating campaigns with prompt-driven tools and automation stacks.

The result: faster testing, deeper insights, leaner teams, and more creative bandwidth.

The Four Layers of Vibe Marketing

1. Research & Reasoning Layer

Your AI analyst: insights, synthesis, strategic support.

Tools: ChatGPT, Claude, Perplexity, MCP

Use Cases:

• Query CRM data for retention insights

• Analyze sentiment from community feedback

• Map campaign outcomes to user behaviors

Sandbox Prompts:

• Use MCP to compare conversion rates by referral source. What should your next campaign optimize?

• Summarize Discord feedback from last quarter into key feature requests and blockers.

2. Generative Content Layer

The creative engine: copy, visuals, audio, video.

Tools: ChatGPT, Claude, Midjourney, DALL·E, Runway

Use Cases:

• Generate ad variations from campaign goals

• Design visuals based on moodboard-style prompts

• Script and voice over explainer videos

Sandbox Prompts:

• Generate three visual variants for a Base campaign targeting Latin American traders.

• Create a script and voiceover for a 30s video on your staking flow.

3. Logic & Automation Layer

The brain of your stack: workflows, triggers, execution.

Tools: n8n, Replit, Cursor, Zapier

Use Cases:

• Automate lead collection → email → CRM updates

• Trigger alerts from onchain events or product usage

• Build end-to-end campaign workflows across multiple tools

Sandbox Prompts:

• Set up a workflow that scrapes trending tweets, filters for relevance, and posts a weekly summary to Telegram.

• Build a trigger-based onboarding funnel using n8n + Notion + Slack.

4. Interface & Interaction Layer

Where users meet AI: apps, bots, front-end tools.

Tools: GPTs, Botpress, Replit Deployments, Webflow + AI agents

Use Cases:

• Deploy branded GPTs to answer community questions

• Build AI-powered landing pages with embedded onboarding logic

• Launch interactive explainers, scavenger hunts, and campaign flows

Sandbox Prompts:

• Build a GPT agent that fields FAQs about your TGE.

• Create an AI concierge that guides new users through your dApp's core flows.

Best Practices for Implementing Vibe Marketing

To effectively integrate Vibe Marketing into your strategy, consider the following practices:

1. Define Clear Objectives: Clearly articulate your campaign goals and desired outcomes to guide AI tools effectively.

2. Develop Prompt Engineering Skills: Crafting precise and effective prompts is crucial for obtaining the desired output from AI tools.

3. Iterate and Refine: Use AI-generated content as a starting point, and refine it to align with your brand's voice and standards.

4. Maintain Human Oversight: While AI can handle execution, human judgment is essential for strategic decisions, ethical considerations, and final approvals.

5. Foster a Culture of Experimentation: Encourage your team to explore and experiment with AI tools to discover innovative approaches to marketing challenges.

Implementing Vibe Marketing: A Step-by-Step Guide

1. Automate Keyword Research: Use n8n to scrape trending topics from platforms like YouTube and X (formerly Twitter). gregisenberg.com

2. Integrate MCP for Data Analysis: Connect AI models to your business data using MCP, allowing for real-time insights into sales and marketing performance. cdata.com

3. Generate Content with AI: Employ AI tools like Claude to create blog posts, social media content, and more, tailored to your brand's voice and audience preferences. podcasts.apple.com

4. Automate Distribution: Set up n8n workflows to schedule and publish content across various platforms, ensuring consistent and timely engagement .

5. Monitor and Optimize: Continuously analyze performance data using MCP-integrated AI models to refine your strategies and improve ROI.

Sandbox Challenges & Templates

Final Takeaway

You don’t need to master every tool, you need to start playing.

This is the moment where marketing becomes modular, programmable, and creative at a new scale. What you build here might be rough. That’s fine. What matters is you start.