
Repeatable Growth How We Took AI From “Helpful” to “Game-Changing”
Dec 2, 2025
Kevin Barber, Head of Growth at Lean Labs and an AI expert, dives into transforming AI from a helpful tool to a game-changer in B2B SaaS marketing. He emphasizes that success lies in data quality and context, not just prompts. Barber introduces context engineering and the importance of unified data sources to enhance AI outputs. He also shares the Four F's—facts, feelings, frame, and flavor—for effective branding and how feedback loops can refine AI performance. This discussion is a goldmine for AI builders seeking efficiency and competitive advantage.
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Context Beats Prompt Hype
- AI performance is primarily a context and data problem, not just model or prompt choice.
- Give agents context, skills, rules, and checks to make them reliably useful.
Start With Clear Facts
- Provide industry, company, solution, and offer facts to your AI as core context.
- Use these facts as the first step when building marketing AI agents.
Feed Buyer Feelings
- Capture buyer feelings: role, goals, challenges, triggers, language, and objections.
- Feed these buyer insights into AI so outputs match how prospects actually think and speak.







