[Redacted] an NC Tweener Times Podcast: What Happens When You Rebuild a Business With AI
Today, we’re launching something new under the NC Tweener Talks network. It’s called [Redacted]. Most AI content today is polished with clean demos, perfect workflows, and everything looks like it worked on the first try. But if you’ve actually built anything with AI, you know that’s not how it works. It’s messy. It breaks. It’s iterative - you build, then rebuild and then when you get it working, that’s what other ‘how I AI’ shows work. They never show you how the AI sausage is made.
This show changes that. We’re going to show you the messy middle and in fact, as we’re doing this recording some of the first episodes, we found out that frequently some super-personal information of business secrets will be slung around as we record that needs to be….you guessed it…. REDACTED. Instead of deleting that part totally, we’re keeping it (redacted where appropriate) and showing you the steps in between that everyone else skips.
The first episode sets the tone immediately and they jump straight into the work. Here’s what they get into:
The first episode sets the tone immediately and they jump straight into the work. Here’s what they get into:
- Rebuilding a core business workflow with AI: A complex event operations system that used to require a team gets rebuilt in about a week
- A new way to build software: Moving from specs and tickets → to meetings, voice notes, and AI turning ideas directly into working code
- Turning conversations into production-ready tools: How a single meeting becomes product requirements, then live features, in days
- Letting AI handle the structure: Simplifying forms and workflows by allowing messy input and letting LLMs interpret it
- “Vibe coding” and how to actually make it work: Moving fast with AI while still building systems you can trust
- AI as infrastructure, not just a tool: Embedding AI into operations, not just using it for one-off tasks
- Automating internal processes (like SOPs and reporting): Turning repeatable workflows into systems that run themselves
- The shift from teams → systems: How a ~$1M ARR business operates with a fraction of the headcount by rebuilding around AI
- Trust, but verify: Building in checks, QA, and guardrails so AI output actually holds up in production
Timestamps
00:00 – Welcome to [Redacted] + how the show came together
00:40 – Why most AI content is too polished (and what this show will do instead)
02:00 – The format: real “show and tell” from inside Offline
03:30 – Kicking off: rebuilding the events pipeline
04:30 – The old system vs. the new AI-driven approach
06:30 – Simplifying forms: less structure, more AI interpretation
08:30 – Building with Claude Code (and shipping fast)
10:00 – From meeting → notes → working product
12:00 – Avoiding the “vibe coding” trap (trust but verify)
14:00 – Using voice + context instead of writing specs
16:00 – Moving proven components into new workflows
19:00 – From rigid stages → flexible systems
23:00 – Automating drafts, workflows, and HubSpot with AI
27:00 – AI QA: catching errors before humans do
30:00 – Fun break: AI-built March Madness bracket wins
32:30 – Automating shareholder updates with AI “skills”
34:30 – Process mapping + turning SOPs into systems
38:00 – Building context-aware workflows (AI as Chief of Staff)
41:30 – QA for AI processes: “first run” testing
46:00 – Wrapping up + what’s next for the show
00:40 – Why most AI content is too polished (and what this show will do instead)
02:00 – The format: real “show and tell” from inside Offline
03:30 – Kicking off: rebuilding the events pipeline
04:30 – The old system vs. the new AI-driven approach
06:30 – Simplifying forms: less structure, more AI interpretation
08:30 – Building with Claude Code (and shipping fast)
10:00 – From meeting → notes → working product
12:00 – Avoiding the “vibe coding” trap (trust but verify)
14:00 – Using voice + context instead of writing specs
16:00 – Moving proven components into new workflows
19:00 – From rigid stages → flexible systems
23:00 – Automating drafts, workflows, and HubSpot with AI
27:00 – AI QA: catching errors before humans do
30:00 – Fun break: AI-built March Madness bracket wins
32:30 – Automating shareholder updates with AI “skills”
34:30 – Process mapping + turning SOPs into systems
38:00 – Building context-aware workflows (AI as Chief of Staff)
41:30 – QA for AI processes: “first run” testing
46:00 – Wrapping up + what’s next for the show
Where to Find David:
LinkedIn: https://www.linkedin.com/in/davidshaner/
Where to Find Taylor:
LinkedIn: https://www.linkedin.com/in/taylorcotner/
More about Offline: https://www.linkedin.com/company/offline-media-inc-/
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This episode of Redacted is hosted by David Shaner and Taylor Cotner, and presented and produced by NC Tweener Fund.
We couldn’t share posts like this without our amazing sponsors:
Platinum:
NC IDEA: https://ncidea.org
Gold Sponsors:
- Balentine: https://www.balentine.com/triangle-entrepreneurs
- EisnerAmpner: https://www.eisneramper.com
- Robinson Bradshaw: https://www.robinsonbradshaw.com
Silver Sponsors:
- Automated Consulting Group: https://automated.co
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html
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Triangle Tweener Talks is sponsored by:
Triangle Tweener Talks is sponsored by:
- Atomic Object: https://atomicobject.com/
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