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On 2026-08-05 @coreyganim reports his non-technical assistant built 6 production…

Brief

Corey Ganim argues the fastest way to scale an AI services business is to stop building every fulfillment asset yourself. He trained a non-technical assistant to produce 6 production Claude skills for a podcast guesting workflow via a four-step loop (build, test, verify, record), prioritizing long-term team capability so she can create many more systems.

Why it matters

On 2026-08-05 @coreyganim reports his non-technical assistant built 6 production Claude skills for a podcast guesting workflow using Anthropic's Claude.

Key details

  • He trained her with a four-step loop—1) build one skill, 2) test on real data, 3) manually verify output, 4) record a Loom—saying he could've built them in ~30 minutes but now she can build the next 10 systems, scaling the business by creating AI operators.
Source evidence

the fastest way to make your AI services business more scalable is to stop building every fulfillment asset yourself.

my non-technical assistant built 6 production Claude skills for a podcast guesting workflow.

her training loop:

-one: build one skill
-two: test it on real data
-three: manually verify the output
-four: record a Loom explaining it

i could've built these myself in 30 minutes but its much more valuable to me long term to have someone on my team capable of building/testing/validating skills.

because now she can build the next 10 systems without me.

empower your people, turn them into AI operators.