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Build With AI

Build With AI

Written by: Corey Ganim
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Most AI podcasts talk about what's possible. Build With AI shows you how it's done, live. Each episode, host Corey Ganim brings on entrepreneurs and operators who share their screen and build real AI automations, workflows, and tool setups right in front of you. No boring slides. Nothing that hasn't been battle-tested. You'll watch actual implementations get built from scratch so you can follow along and do the same in your business. If you're a non-technical entrepreneur who wants to put AI to work without becoming a developer, hit play and build along with us.

2026 Corey Ganim Economics Leadership Management & Leadership
Episodes
  • # 166 AI agent focus groups are the future of marketing

    # 166 AI agent focus groups are the future of marketing
    May 19 2026

    I sat down with Justin Brooke, a 20-year advertising veteran who turned a $60 Google Ads campaign into a seven-figure agency — and then built an AI-powered prediction system that has since generated $260,000 for him personally. In this episode, Justin walks through his "predictive wear" framework: a multi-agent workflow that runs your ad copy and sales pages through a synthetic focus group of 13 detailed AI personas before a single dollar is spent on ads. We break down how the workflow is built in Mind Studio, why persona quality makes or breaks accuracy, and how Harvard, Stanford, and the New York Times have all validated this exact approach. By the end of this episode, you'll understand why running your marketing through a virtual focus group before it goes out the door may be the single highest-ROI move you can make right now.

    Timestamps
    03:29 – What "predictive wear" is and why Justin built it
    05:00 – Why you need multiple personas, not just one
    08:00 – How the 13-persona focus group workflow runs
    09:00 – The prediction engine: picking the winning ad variation
    10:00 – Harvard, Stanford, and the New York Times validate the method
    13:15 – The ROI: $260K personally, 4 to 6X ROAS for clients
    19:00 – What makes a persona accurate: the 1,400-word dossier
    24:04 – The copywriter prompt and "embody" vs. "pretend to be"
    33:00 – Sales page version: PDF upload and yes/no buyer scoring
    41:00 – Why some personas are successful and others are struggling
    45:00 – A $36,000 offer launched using this exact process
    48:00 – Final advice: do the work on the persona quality

    Key Points

    The old way of advertising is learning by spending money — you write copy, run ads, and find out if it works after the budget is gone. Justin's predictive wear system flips this by running copy through a synthetic focus group of 13 AI personas before any ad spend, so you know what will convert before you go live.

    Harvard, Stanford, and the New York Times have all independently validated this approach. The New York Times uses the same synthetic audience process to test headlines and found 92% accuracy compared to their human focus groups — meaning this is not a fringe experiment, it is becoming standard practice for major publishers and brands.

    The cost is 13 to 20 cents per run. A top 1% copywriter charges $100 to $500 per ad. Justin's workflow produces three optimized variations in about 10 minutes for 13 cents, performs at or near the level of the best human copywriters for most use cases, and allows unlimited iteration — you run it until the copy converts.

    The system is also a copywriting trainer. Even with 20 years of experience, Justin says the feedback regularly surfaces blind spots and teaches him better approaches. A recent $36,000 offer used bullet points the AI rewrote because its version was simply stronger than what he had originally written.

    Anyone can use this, not just expert copywriters. Because the workflow takes whatever you input — even a bad ad — and improves it based on real persona feedback, non-copywriters like a front-desk employee or a local business owner can now produce top-10% ad copy without prior training.

    Join the Build With AI community built for non-technical entrepreneurs: https://www.skool.com/buildwithai/about

    If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

    FIND ME ON SOCIAL
    X/Twitter: https://x.com/coreyganim
    Instagram: https://www.instagram.com/coreyganim/
    LinkedIn: https://www.linkedin.com/in/coreyganim/
    YouTube: https://www.youtube.com/@coreyganim

    FIND JUSTIN ON SOCIAL
    https://x.com/IMJustinBrooke
    Website: https://adskills.com
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    53 mins
  • # 165 I BLEW UP Instagram With AI Content (4M Views in 30 Days)

    # 165 I BLEW UP Instagram With AI Content (4M Views in 30 Days)
    May 15 2026
    I sat down with Nick Puru to break down the exact Claude Code setup he used to pull 4 million views and ~6,000 newsletter signups in the last 30-45 days for his AI consultancy. Nick walks through his short-form content factory inside Claude Code — the CLAUDE.md "brain," his ICP file (an avatar he calls Patrick), his foundations doc full of algorithm lessons like "negativity always wins," and the three skills he uses to write captions, generate scripts, and review them. We get into how he tests three hooks per video with Instagram trial reels, the humanizer skill from Bader on GitHub that strips out AI tells like em-dashes and "it's not X, it's Y," and why he treats every Claude project like onboarding a new employee. By the end of this episode, you'll have a clear blueprint for building your own short-form content system in Claude Code — starting from a single CLAUDE.md file and expanding from there. Timestamps 00:00 – Intro 00:37 – 4 million views in 30 days 01:53 – Reels to ManyChat to newsletter funnel 03:31 – Tour of the Claude Code folder structure 05:02 – How the write script command works 06:29 – Why human-in-the-loop matters for content 07:38 – Inside the CLAUDE.md brain file 08:11 – Meet Patrick, Nick's ICP avatar 10:04 – Foundations file and "negativity always wins" 13:43 – Live generating a Claude Cowork script 15:44 – Testing three hooks with Instagram trial reels 18:48 – Most bare-bones version to start with 22:36 – Why ICP and brand voice are foundational 24:28 – The humanizer skill from Bader on GitHub 27:01 – Treating AI like a new employee 29:35 – Context beats prompting in 2026 31:13 – Where to find Nick Key Points Nick's short-form system drove ~4M views in 30 days and ~6,000 newsletter signups in 45 days for his AI consultancy — every video CTA pushes a lead magnet via a ManyChat flow that collects emails and hands off to an appointment setter. The whole system lives inside Claude Code as three skills: one writes scripts, one reviews them against a quality checklist, and one generates captions. Trigger them by typing things like "write script" in the terminal. The CLAUDE.md file is the brain. It holds the output format, writing rules, key principles, and a pointer to an ICP file built around an avatar named Patrick — a small-to-mid market business owner ($few hundred K to $15M, 2-50 staff) who has tried ChatGPT once or twice but doesn't know Claude Code. One of Nick's foundations is "negativity always wins" — the algorithm rewards a stronger emotional charge, but he warns against using it on every video or audiences pick up on it. He calls it in only when the angle fits. He tests three different hooks on the same body and CTA using Instagram trial reels, treats it like A/B testing titles and thumbnails on YouTube, and feeds the winners back into the system as analytics context. To kill AI tells like em-dashes, bullet points, and "it's not X, it's Y," Nick runs scripts through Bader's humanizer skill from GitHub. Corey adds a similar instruction in his agents.md to never use dashes. Treat Claude like a new employee, not a magic box. You wouldn't expect a hire to crush it on day one — you'd give them SOPs, business context, your website, and an ICP. Same playbook for building any Claude project, whether it's short-form, long-form, or LinkedIn posts. Bader's humanizer skill on GitHub - https://github.com/bader-research ManyChat for Instagram DM automation - https://manychat.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND NICK ON SOCIAL YouTube: https://www.youtube.com/@nickpuru X: https://x.com/nickpuru LinkedIn: https://www.linkedin.com/in/nickpuru/
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    32 mins
  • # 164 How I Built an AI Voice Agent With Claude + Voiceflow (Zero Code)

    # 164 How I Built an AI Voice Agent With Claude + Voiceflow (Zero Code)
    May 12 2026
    Build your voice agent in 10 minutes (No code required) https://corey-ganim.kit.com/18da152cf4 In this episode, I sat down with Susan Westwater, co-founder of Pragmatic Digital and a conversational AI veteran since 2017, to build a working voice agent in Voiceflow live, with zero code. Susan walks through her exact prompt template for an appointment-scheduling agent, explains the difference between in-the-loop, on-the-loop, and fully autonomous agents, and shows how to separate your agent instructions from your knowledge base so you can update facts without breaking the whole build. We test the agent live (it called her cell phone mid-episode), connect it to a Google Sheet to capture customer intake, and talk about competitors like VAPI, ElevenLabs, and Voiceify. By the end, you'll have the exact playbook (and the template Susan is giving away) to spin up your own MVP voice agent in under an hour. Timestamps 03:42 – Inside Voiceflow and what makes it different 04:23 – Chatbot vs voice agent: listen, decide, act 05:30 – In the loop vs on the loop vs fully autonomous 09:09 – The system prompt: identity, purpose, and boundaries 11:54 – Voice, persona, and speech sculpting 13:22 – Separating agent instructions from knowledge base 17:14 – Stopping the agent from troubleshooting electrical issues 20:31 – Rules for collecting info one question at a time 23:21 – Pasting the prompt and one-shotting the build 26:34 – Voiceflow competitors: VAPI, ElevenLabs, Voiceify 30:22 – Connecting tools at each conversation step 33:13 – Why faster builds give up control 38:21 – Adding the knowledge base as a Word doc 43:13 – Sending customer intake to a Google Sheet 45:57 – Live phone call with the voice agent 50:09 – Branching, exit conditions, and iteration 54:52 – Custom voices, ElevenLabs integration, and voice security Key Points Keep two documents separate: agent instructions (how the agent behaves, its identity, persona, escalation rules) and knowledge base (the facts about your business). If pricing or hours change, you update one cell in your knowledge base instead of digging through a giant system prompt. The strength of a Voiceflow build lives in the prompt. Susan pastes her full instructions doc into the new project prompt and Voiceflow generates the entire conversation flow — greeting, qualification, intake, confirmation, escalation — with no coding. Be explicit about what the agent does NOT do. LLMs are trying to "win the game" (Susan's War Games analogy), so if you don't tell the electrical-appointment bot "do not troubleshoot," it will try to problem-solve its way out of every conversation. Collect intake one question at a time, use explicit confirmation on critical fields like callback numbers, and tell the agent to be empathetic but not apologetic — nobody wants a bot that says "I'm sorry" five times instead of solving the problem. Voiceflow — https://www.voiceflow.com Pragmatic Digital — Susan's agency helping brands operationalize conversational AI and applied AI for CX - https://www.pragmatic.digital VAPI — alternative voice agent platform - https://vapi.ai ElevenLabs - https://elevenlabs.io Voiceify — centralized library for chatbot, voice agent, and telephone deployments across web and mobile - https://www.voiceify.com Twilio — phone number and telephony layer for connecting Voiceflow agents to real phone calls - https://www.twilio.com Make.com — automation platform that can connect to Voiceflow as a tool integration - https://www.make.com Robert Scoble on X https://x.com/Scobleizer Brian Roemmele on X https://x.com/BrianRoemmele FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND SUSAN ON SOCIAL X: https://x.com/sjw75 Website: https://www.pragmatic.digital
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    58 mins
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