How I AIThe exact AI playbook (MCPs, GPTs, Granola) that saved ElevenLabs $100k+ & helps them ship daily
CHAPTERS
Prompt-first editing mindset + episode promise: “vibe marketing” that ships daily
The episode opens with Luke’s core principle: improve systems by editing the underlying prompt/workflow, not manually tweaking outputs. Claire frames the conversation as “vibe marketing”—using AI to turn everyday work into repeatable launch assets and real cost savings at ElevenLabs.
The AI CMO: automate launches from feature → messaging → distribution
Luke describes why marketing becomes the bottleneck as software creation accelerates. He outlines an AI-powered launch checklist that converts new features into value props, messaging, assets, and ongoing channel experimentation (ads, landing pages, optimization).
Live case study workflow: record a customer interview with Granola
Luke demonstrates a lightweight case-study interview using Granola to capture transcript and notes. The point is to reduce friction: short interviews produce structured inputs that can be immediately turned into publishable marketing content.
Custom GPT “Copy Editor”: enforce brand voice with rules + examples
Luke walks through an internal custom GPT used across the company to match ElevenLabs’ tone and style. It includes explicit role definition, strict must-do instructions, voice/tone guidelines, and reference examples (tweets and blog posts).
From notes → publishable case study: use summary + raw transcript for fidelity
Luke shows how he pastes both Granola’s summary and the raw transcript into the custom GPT to generate a case study draft that’s usually usable on the first pass. Including the raw transcript preserves exact quotes and prevents “lossy” summarization issues.
Turn the case study into distribution: tweet threads with asset placeholders
Luke demonstrates generating an X (Twitter) thread from the same source content, including guidance on what visuals to include. Claire highlights how this accelerates distribution by producing not just copy but a content packaging plan.
Make it a system: Zapier + CRM triggers to produce case studies continuously
They zoom out from one-off creation to operationalizing it as a repeatable engine. Luke proposes connecting Salesforce closed-won events to automated outreach and scheduling, so the team consistently generates multiple case studies per month.
Prompt engineering best practices: tighten instructions and feed learnings back
Claire and Luke dissect why the prompting approach works: clear role, specific requirements, formatting constraints, content-type sections, and examples. Luke reinforces the practice of updating prompts whenever recurring issues appear rather than editing final text repeatedly.
Replacing localization SaaS + agencies with an LLM translation system ($140k+ saved)
Luke details how ElevenLabs scrapped an expensive localization tool and agency-based translation pipeline due to cost, delays, and poor quality. He built a small server and prompt-per-language approach—mostly in Cursor—that delivers instant translations and reduced vendor overhead.
Why build beats buy (sometimes): SaaS risks and ‘human-in-the-loop’ exposure
Claire and Luke discuss broader implications: when build cost drops, teams will increasingly replace niche SaaS—especially where value is routing low-skill human labor. Luke argues SaaS isn’t dead, but products dependent on manual labor arbitrage are vulnerable as AI improves.
Open-sourcing the translation approach: GitHub Actions + CMS ‘Translate’ button + Cursor rules
Luke explains the concrete implementation and why it worked better: prompt control, one source of truth, and automation at the code/CI layer. The system translates strings on each push and adds a CMS translation button, plus a Cursor rule to extract strings into JSON cleanly.
MCP explained via WhatsApp: give AI agents tool access to your messages
Luke introduces Model Context Protocol (Anthropic) and why it matters: it lets agents use external tools and data sources. He built an unofficial WhatsApp MCP to download messages locally into SQLite and let Claude query/summarize them or send messages/voice notes.
From rigid automations to flexible agent workflows: stitching MCPs together
They contrast static automation (Zapier/n8n) with chat-driven, tool-using agents that can adapt to new tasks on the fly. Luke shows combining multiple MCPs (WhatsApp + ElevenLabs) to create workflows like summaries and even voice roundups, pointing toward “tabs going away.”
On-demand specialized agents + lightning round: voice unlocks new products and ops
Luke demonstrates creating specialized agents on the fly (e.g., a case-study interview agent; mentions pizza-ordering demos). In the closing lightning round, he argues voice enables new customer experiences (tutors/coaches) and scalable back-office functions like multilingual support.
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