AI & Automation
Leverage AI tools to speed up content creation and operational workflows
1 step
Implementing the AI Model Selector Strategy
Analyze the specific strengths of various LLMs to match the right tool to each marketing and research task.
The first high-stakes problem in AI leverage is the "Generalist Trap." Most founders try to use a single AI for everything, resulting in "average" output. To reach professional-grade execution, you must adopt the AI Model Selector Strategy. As established in the "How to choose a neuro-network" framework, you must treat different AIs like specialized employees in your marketing department. You stop asking "Can AI do this?" and start asking "Which specific model is the expert for this outcome?"
According to the professional model list, your selection criteria should be as follows:
For All Copywriting: You must use Claude. Whether you are building a landing page, writing product descriptions, or drafting creative ad texts, Claude is the industry standard for stylistic nuance and human-like narrative flow. It avoids the robotic "AI-isms" that trigger user skepticism.
For Audits and Insight Discovery: Use ChatGPT. It should be positioned as your "Teacher/Expert." Use it to check your own materials, find hidden insights within your data, and challenge your initial hypotheses.
For External Research: Deploy Manus. When you need to audit the internet for competitive intelligence or external research, Manus is built to search and synthesize live data.
Для (For) Large Scale Data Analysis: This is where you use Gemini and NotebookLM. Gemini is the specialized tool for analyzing "Big Reports," while NotebookLM is essential for processing massive arrays of text (like 50+ customer interview transcripts) to find recurring patterns.
For Technical and Visual Generation: Use Cursor for code, 10web.io for instant landing page generation, and Veo 3 / Sora for high-end video production.
By strictly following this specialized stack, you eliminate the cognitive load of "re-editing" poor AI outputs. You move from the "Art of Writing" to the "Process of AI Orchestration." This level of specialization allows a small founding team to perform like a 20-person marketing agency. You must document this "Toolbox" and ensure every team member knows which model to open for which task. This is the only way to maintain "Strategic Alignment" while increasing your production speed by 10x.
2 step
Executing the Gemini + Figma Make Synergy
Build a high-speed design bridge by using Gemini’s reasoning to generate structured prompts for Figma's visual engine.
The second high-stakes problem is the "Design Bottleneck." Founders often have the logic of a landing page ready in their minds but wait days for a designer to visualize it. To solve this, you must implement the Gemini + Figma Make Workflow. This is a synergy between Structured Reasoning and Visual Generation. In this workflow, Gemini does not just "write text"; it acts as the "Design Strategist" that builds the technical specification for the visual tool.
The process follows a 3-stage logic:
Stage 1: The Context Injection (Gemini): You feed Gemini your "Value Proposition," your "SPACE Model Diagnostic," and your "Customer Segment" data. You ask Gemini to deconstruct this into a "Visual Hierarchy."
Stage 2: The Structured Prompt (Gemini to Figma): Instead of asking for a "pretty site," you prompt Gemini to: "Generate a detailed, section-by-section design prompt for Figma Make. Include specific hero-shot descriptions, color hex codes based on our brand motivators, and a clear 4U-based call to action." Gemini’s strength is in "Big Reports" and complex structuring, making it the perfect tool to write the complex prompts that visual AIs require to be accurate.
Stage 3: The Visual Render (Figma Make): You copy the structured output from Gemini into Figma Make. The AI then draws the actual layout, UI components, and assets based on the expert-level spec provided by Gemini.
This workflow eliminates the "Blank Page" problem and reduces the time from "Idea" to "Clickable Mockup" from 48 hours to 15 minutes. It ensures that your design is not just "aesthetic" but is fundamentally tied to the "Main Message" and "User Motivators" you identified in previous units. By using Gemini as the brain and Figma as the hand, you maintain the "Founder Magic" while achieving "Industrial Speed." You are no longer waiting for a design; you are "orchestrating" a render. This is the ultimate leverage for founders who need to "Check Demand" quickly with professional-looking assets.
3 step
Constructing the Automated Content Bank
Use the human-AI loop to produce 2 weeks of high-quality social, SEO, and ad content in a single 60-minute session.
The final business problem in marketing speed is "Consistency." Startups often start a blog or social channel but quit because the content "Marathon" is too demanding. To solve this, you must build an AI-Powered Content Bank. According to the "Marketing Activities" logic, you must move from "One-off posts" to a "Content Stream." You use a Human-AI Loop to generate, edit, and schedule assets in bulk.
The workflow uses the specialized models from the "Neuro-network list":
Planning (ChatGPT + Manus): Use Manus to research current "Market and Consumer Trends." Feed this into ChatGPT to create a "2-week Content Calendar" based on your "Opinion-Leader" status.
Production (Claude): Take the daily topics from ChatGPT and feed them into Claude. Because Claude owns "All Copywriting," it can produce a high-quality blog post, three LinkedIn updates, and a Twitter thread for each topic in seconds. You must instruct Claude to use your "Conversational Tone" and include your "Mantra" at the end of every piece.
Visual Enrichment (Veo 3 / Sora): For your high-intent posts, use Veo 3 or Sora to generate short "Promo Videos" or "Explainer Clips" that demonstrate your "Secret Sauce."
This "Bank" logic ensures that your marketing never "goes to sleep," as seen in the LiveChat 24/7 philosophy. You are effectively "re-purposing" one core insight across 5 different formats. For example, if you conduct a customer interview (Exploration), you can: 1. Post the transcript summary (Claude), 2. Share a quote visual (Figma Make), 3. Write a "Lesson Learned" post (ChatGPT), and 4. Record a quick AI-voice summary. This level of production creates the "Momentum" that investors look for. It proves you can "Get the Word Out" on social networks and traditional media simultaneously without a massive marketing team. By the end of this step, your Content Bank should have 10-14 days of assets ready for deployment, allowing you to focus on high-level strategy and "Closing the Chasm."
4 step
Expected Results
Improve Marketing Efficiency Ratio by 35% and % of Organic Traffic by 15% by multiplying your content production speed.
Deliverables
A documented list of specialized models for recurring tasks.
A 3-tier prompt for visual generation (Context + spec + CTA).
A populated repository of social and marketing assets ready for deployment.