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Digital Ron Tully — a digital copy of the expert
Ron Tully (blogger)LLM · Fine-tuning · Newsletter · Social

DigitalRonTullyadigitalcopyoftheexpert

The expertise is locked inside the expert’s personal time: content ships 1–2 times a month, the audience cools off, and every missed question is a lost lead and eroded standing. The digital twin publishes and replies 24/7 in Ron’s style, multiplies content frequency and removes ~90% of the routine — while a human always signs off on anything sensitive.

Brief

A digital copy of an expert blogger — built on Ron Tully’s knowledge, methodology and style: posts, newsletters, audience communication. The digital expert prepares and publishes content, runs newsletters and talks to the audience 24/7.

Context

The cost of manual work

The expertise is locked inside the expert’s personal time: content ships 1–2 times a month, the audience cools off, and every missed question is a lost lead and eroded standing.

What AI changes

The digital twin publishes and replies 24/7 in Ron’s style, multiplies content frequency and removes ~90% of the routine — while a human always signs off on anything sensitive.

Before → After

Operating model

Before
  • The expertise is limited by Ron’s personal time
  • Content ships rarely and by hand
6 weeks
After
  • +The digital expert prepares and publishes content
  • +Runs the newsletters
  • +Talks to the audience 24/7
What we did

How we built it

01

Diagnostic

We mapped Ron’s knowledge base, methodology and style. We locked the outcome metrics: content frequency and the share of routine that could be taken off the expert.

02

Prototype on real data

The first working loop on Ron’s real materials — posts and replies in his style — within 1–6 weeks.

03

Production & support

We put the digital expert into continuous operation: publishing, newsletters and 24/7 communication. A human always signs off on sensitive topics.

Results

What came out

1–2/mo → several/wk

content frequency

−90%

of the expert’s routine

24/7

audience communication

Project team
IG

Igor Golikov

Project lead

VK

Vitaly Kust

Tech lead

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