NC Tweener Talks

In episode 3 of [REDACTED], we (David and Taylor) run a live demo of an agentic CRM-cleanup pipeline (and finds out, on air, what it costs). We also walk through a landing page workflow that compresses what used to take five people and a month of meetings into something one person can do in an afternoon.

The bulk of episode 3 is a live demo, just what we wanted. Plus, the best part of Redacted is that nothing is finished. Every episode is a midstream demo of something that might break, might cost more than it should, or might be the thing that quietly changes how a whole category of work gets done. Enjoy the conversation.
What We Cover
  • $1.98 to clean a brand: Taylor’s CRM pipeline ran live on air with one restaurant with two locations, 64 turns, 95% cache hit, total cost under two dollars. 
  • The code-vs-agent slider: Taylor built an interactive slider with pros and cons on each side. Fully deterministic code can’t handle ambiguity, fully agentic can’t be tested or priced. 
  • The “no brand graph” problem: There is no canonical source of truth for the restaurant industry. Google Places, SERP, and Yelp all return ranked top-20s — you can’t reconstruct the full graph locally. This is what makes the cleanup problem agentic by necessity.
  • n8n’s flowers, n8n’s thorns: Taylor’s running joke is that every local agent he builds eventually looks like n8n. But debugging n8n at scale meant pulling down a million-token JSON dump every morning just to grep it. Local won on debuggability, not capability.
  • Confidence tiers for copy extraction: “Act on it” = recurring in 6+ meetings. “Pattern” = 4–5. “Emerging” = 1–3. The model can suggest copy at any tier; the operator decides what gets shipped.
  • The headline no human wrote: “Get found by foodies who are paying to find you.” This sidesteps the #1 objection in the space (is this a free deals site?) in one line. David says no one on his team has produced anything like it in ten years of writing copy.
  • Claude Design as a brand harness: David came in skeptical that it was just a Claude Code wrapper. He left convinced: same model, but the design harness around it makes the outputs materially better.
  • 15–20 hours, one person: Total wall-clock on the landing page from raw transcripts to live wireframes. Historically the same work needed five people (founder, sales, copy, brand, design) and weeks of calendar time.
  • Skill folder structure: David’s pattern for non-trivial skills: a tiny top-level skill file that orchestrates, plus subfolders for context (inputs the skill ingests), data (outputs by run), and prompts (exposed so they can be QA’d independently).
Timestamps:
 00:00 — Intro + choosing the Redacted logo live on air
 03:22 — Taylor demos a “sentient HubSpot” CRM cleanup agent
 04:37 — The messy CRM problem: duplicate restaurant brands & locations
 05:23 — Running the AI pipeline live
 06:07 — Why they moved away from n8n workflows
 07:15 — Live cost tracking for AI agents
 09:31 — “Architect agents” creating before/after CRM graphs
 10:29 — The agent fixes HubSpot records autonomously
 12:27 — The vision: a fully AI-maintained CRM
 13:07 — Why every company’s CRM eventually becomes chaos
 16:16 — Why HubSpot workflows can’t fully solve this problem
 17:20 — The missing “brand graph” problem in restaurants
 18:23 — Live demo success: AI cleaned the CRM in real time
 19:52 — Human time vs AI time: CRM cleanup economics
 20:27 — Code-driven vs agent-driven systems
 21:56 — The tradeoffs of n8n vs local AI infrastructure
 24:05 — When n8n still makes sense
 26:57 — David’s AI-powered investor update workflow
 29:17 — AI-generated shareholder updates with minimal edits
 29:53 — Building AI-generated B2B landing pages
 31:20 — Why landing pages are one of the hardest startup projects
 32:07 — Mining 876 sales calls for “voice of customer” insights
 33:11 — AI transcript tagging + metadata classification
 34:14 — Extracting high-confidence marketing copy from sales calls
 36:24 — Using Claude + Opus to synthesize a landing page
 38:07 — First impressions of Claude Design
 39:07 — “Get found by foodies who are paying to find you”
 40:22 — Why the AI-generated copy shocked them
 41:06 — How AI compresses cross-functional startup work
 42:14 — Why positioning + copywriting still matter in AI
 42:49 — The need for show notes + publishing workflows
 43:31 — Closing thoughts

New episodes drop twice a month/every other Wednesday. If you want to be on the show as a guest and show your [REDACTED] builds, email us: contact@tweenerfund.com

Show notes from the episode: https://github.com/instanttaylor/redacted-podcast

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:
  • Atomic Object: https://atomicobject.com/

What is NC Tweener Talks?

A podcast for builders by builders in North Carolina. We explore the startup journey and stories with NC founders, from the idea to the exit and everything in between.

NC Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West.