Ask AI Tom
Thomas Prommer

THOMAS PROMMER

Building Technology.
Chasing Finish Lines.

Technology executive & hybrid athlete.
New York-based. Operating globally.

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Thomas Prommer - Technology Executive
Technology

Tech Executive & AI Advisor

CTO / CIO / Consultant / Applied AI Practitioner

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Digital Experience
20+
years
Teams Led
1000+
engineers
Work Scope
$2B+
impact
Fortune 50 Clients
46%
coverage
HotTopics Global CIO 2026 USA Today ↗
Founder at ctaio.dev Community for next-gen technology leadership ↗
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4-wk avg: 1,033 commits/wk Shipping · 6 months 19,222 commits
56 928Aug 30 Week of Mar 8: 21 active repos, 152 commits (127 AI-paired) Week of Mar 15: 19 active repos, 163 commits (121 AI-paired) Week of Mar 22: 29 active repos, 292 commits (207 AI-paired) Week of Mar 29: 40 active repos, 348 commits (215 AI-paired) Week of Apr 5: 30 active repos, 483 commits (375 AI-paired) Week of Apr 12: 37 active repos, 651 commits (451 AI-paired) Week of Apr 19: 30 active repos, 368 commits (289 AI-paired) Week of Apr 26: 35 active repos, 583 commits (270 AI-paired) Week of May 3: 49 active repos, 537 commits (377 AI-paired) Week of May 10: 41 active repos, 657 commits (490 AI-paired) Week of May 17: 47 active repos, 554 commits (352 AI-paired) Week of May 24: 57 active repos, 640 commits (492 AI-paired) Week of May 31: 57 active repos, 895 commits (814 AI-paired) Week of Jun 7: 67 active repos, 1,382 commits (1,136 AI-paired) Week of Jun 14: 74 active repos, 1,436 commits (1,202 AI-paired) Week of Jun 21: 61 active repos, 1,343 commits (1,079 AI-paired) Week of Jun 28: 57 active repos, 995 commits (804 AI-paired) Week of Jul 5: 85 active repos, 1,105 commits (758 AI-paired) Week of Jul 12: 71 active repos, 769 commits (629 AI-paired) Week of Jul 19: 47 active repos, 414 commits (295 AI-paired) Week of Jul 26: 45 active repos, 816 commits (554 AI-paired) Week of Aug 2: 39 active repos, 506 commits (417 AI-paired) Week of Aug 9: 48 active repos, 852 commits (363 AI-paired) Week of Aug 16: 61 active repos, 1,421 commits (783 AI-paired) Week of Aug 23: 56 active repos, 932 commits (362 AI-paired) Week of Aug 30: 56 active repos, 928 commits (372 AI-paired)

Bars: repositories with at least one commit that week — 85 at the busiest, out of 124 I build and run. 69% of commits paired with a coding agent. · commits

4-wk avg: 12.8B in / 25M out AI tokens · in vs out · 6 weeks 1.5B input tokens this week
tokens in tokens out 1,496,125,669 5,299,675Sep 7 Week of Jul 27: 18.1B in / 11M out Week of Aug 3: 26.5B in / 15M out Week of Aug 10: 35.6B in / 33M out Week of Aug 17: 28.6B in / 39M out Week of Aug 24: 11.6B in / 32M out Week of Aug 31: 9.6B in / 23M out Week of Sep 7: 1.5B in / 5M out

Bars are input tokens per week (incl. cache-creation/cache-read), left axis; the line is output tokens per week, right axis, independently scaled — not dollar cost. · output tokens

AI model mix · across ventures 63.3% Opus 5
Opus 5: 63.3%Sonnet 5: 27.9%Haiku 4.5: 4.4%Fable 5: 3.9%Opus 4.7: 0.2%Opus 4.8: 0.2%
  • Opus 5 -5.5pt 63.3%
  • Sonnet 5 -7.5pt 27.9%
  • Haiku 4.5 +5.5pt 4.4%
  • Fable 5 -0.2pt 3.9%
  • Opus 4.7 +0.7pt 0.2%
  • Opus 4.8 new 0.2%
Token share by Claude model, across the team's fleet + dev sessions, 08-17 – 09-07 — not dollar cost. sin only; hcm/muc/fue dev sessions not yet included. Trend (next to each name) is the change in share vs. the week before, in percentage points.

LLM Deliberation (multillm council) · 201,437 tokens, 08-17 – 09-07

  • Gemini 3.1 Flash Lite 38,247 19%
  • GPT-4.1 Mini 37,724 18.7%
  • Llama 3.3 70B 36,844 18.3%
  • DeepSeek V3 36,219 18%
  • Gemini 3 Flash Preview (synth) 32,488 16.1%
  • Mistral Small 3.1 19,915 9.9%

Long tail, tracked separately from the Claude mix above — % is a share of council/deliberation usage only, not the fleet total.

Recent Activity

Featured Publications

AI is the New OS — my guest post for CTO Craft, republished on prommer.net
CTO Craft · Jun 2026 AI is the New OS
→ USA Today carries the announcement that Thomas Prommer was named Global CIO 2026 by HotTopics
USA Today · Jun 2026 Named Global CIO 2026 by HotTopics
↗ The Future of Software Development: Evidence for 2030
We The Flywheel · Jun 2026 The Future of Software Development: Evidence for 2030
↗ AI Strategy: An Engineering Leader's Guide
aiStrategy.guide · Jun 2026 AI Strategy: An Engineering Leader's Guide
↗ Engineering Salary Board
ctaio.dev · Apr 2026 Engineering Salary Board 2026
↗ Business Insider quotes Thomas Prommer on AI attribution in engineering teams
Business Insider · Jul 2026 Bosses Credit AI Instead of Employees
↗
Thomas Prommer introduction video thumbnail
EN Video in English
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Welcome to prommer.net Tech+AI meets endurance
Latest: GLP-1 for Athletes My journey to race weight — real data, real results →
Recently Published
Tech Guides Training Tools

Tech Guides

AI Agentic Coding Tools 2026
Context Engineering Replacing Prompting
Claude Code vs Cursor vs Windsurf
AI is the New OS CTO Craft

Training

Recovery Timeline Day 0 to running again
Femur Recovery Endurance Comeback
GLP-1 for Athletes My race-weight log
Triathlon Guide Sprint to Ironman
HYROX Nutrition Race Day Strategy

Tools

HYROX Pace Calculator
Training Zones HR, Pace & Power
HYROX 2026 Race Calendar
Thomas Prommer - HYROX Athlete
Athlete

Data-Engineered Hybrid Athlete

Ironman / Marathon / HYROX

Training Calculators →
Garmin Fitness Age
32
years vs YOB 1980
VO2Max Lab Tested
56
Dec 2025
2025 Mileage
>2.5k
km running
Marathon PB
3:20
Metropolis Marathon 2025
 Sponsored by AiTrainingPlan Smarter, data-driven training day by day ↗
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Phase: Base building post femur fracture Road to Roth 2027
4-wk avg: 226 TSS/wk Training · 6 months 32 / 71 fitness now / peak
Femur fracture — cycling crash — 2026-04-21 Da Nang 70.3 — missed, femur fracture — 2026-05-10 First bike ride since the femur fracture — 11 min indoor — 2026-05-23 First swim since the femur fracture — 2026-06-13 Roth Ironman — missed, femur fracture — 2026-07-05 First proper run since the femur fracture — 3.65 km continuous — 2026-08-07 111 32Aug 30 Week of Mar 8: 505 training load, fitness (CTL) 69.4 Week of Mar 15: 358 training load, fitness (CTL) 66.6 Week of Mar 22: 483 training load, fitness (CTL) 67.1 Week of Mar 29: 237 training load, fitness (CTL) 61.7 Week of Apr 5: 608 training load, fitness (CTL) 65.6 Week of Apr 12: 324 training load, fitness (CTL) 62.8 Week of Apr 19: 161 training load, fitness (CTL) 56.5 Week of Apr 26: 0 training load, fitness (CTL) 47.8 Week of May 3: 0 training load, fitness (CTL) 40.5 Week of May 10: 0 training load, fitness (CTL) 34.3 Week of May 17: 6 training load, fitness (CTL) 29.1 Week of May 24: 16 training load, fitness (CTL) 25 Week of May 31: 54 training load, fitness (CTL) 23.1 Week of Jun 7: 16 training load, fitness (CTL) 20 Week of Jun 14: 12 training load, fitness (CTL) 17.2 Week of Jun 21: 93 training load, fitness (CTL) 16.7 Week of Jun 28: 111 training load, fitness (CTL) 16.5 Week of Jul 5: 10 training load, fitness (CTL) 14.2 Week of Jul 12: 571 training load, fitness (CTL) 24.5 Week of Jul 19: 344 training load, fitness (CTL) 28.2 Week of Jul 26: 206 training load, fitness (CTL) 28.4 Week of Aug 2: 378 training load, fitness (CTL) 32.5 Week of Aug 9: 260 training load, fitness (CTL) 33 Week of Aug 16: 120 training load, fitness (CTL) 30.7 Week of Aug 23: 413 training load, fitness (CTL) 35 Week of Aug 30: 111 training load, fitness (CTL) 32
  • Femur fracture
  • Da Nang 70.3 (missed)
  • 1st ride back
  • 1st swim back
  • Roth Ironman (missed)
  • 1st proper run

Fitness (CTL) is the line; bars are weekly TSS. TSS is scaled to current thresholds, which reset after the fracture — so post-injury weeks read higher than the same effort would have in March. · fitness (CTL)

4-wk avg: 90.1 kg · 9.8% BF Weight & Body Fat 89.3 kg from 93.7 kg · 8.8% body fat now
85–95 kg 5–15% BF 89 Aug 30 Jan 25: 93.7 kg, 11.5% body fat Jan 26: 94.1 kg, 11.5% body fat Feb 2: 95.8 kg, 12.9% body fat Feb 8: 94.3 kg, 12.5% body fat Feb 16: 96.4 kg, 12.3% body fat Feb 22: 95.8 kg, 13% body fat Mar 1: 94.9 kg, 12.2% body fat Mar 7: 93.2 kg, 12.5% body fat Mar 16: 92 kg, 12.2% body fat Mar 22: 89 kg, 11.3% body fat Mar 29: 90.2 kg, 12.5% body fat Apr 6: 93.6 kg, 11.6% body fat Apr 20: 93.2 kg, 11.8% body fat Jun 16: 96.3 kg, 9.8% body fat Jul 10: 95.1 kg, 12.5% body fat Jul 11: 94.4 kg, 11.8% body fat Jul 12: 94.6 kg, 11.9% body fat Jul 13: 93.9 kg, 11.3% body fat Aug 3: 91 kg, 10.8% body fat Aug 21: 90 kg, 8.8% body fat Aug 30: 89.3 kg

Bars are logged weight (kg), left axis fixed 85–95 kg; the line is body-fat %, right axis fixed 5–15%, matched to the nearest logged reading within 3 days. · body fat %

4-wk avg: 226 TSS/wk Training Stress (TSS) · 8 weeks 111 TSS this week
111 39Aug 30 Week of Jul 12: 571 TSS, fatigue (ATL) 67.8 Week of Jul 19: 344 TSS, fatigue (ATL) 64.6 Week of Jul 26: 206 TSS, fatigue (ATL) 57.8 Week of Aug 2: 378 TSS, fatigue (ATL) 75 Week of Aug 9: 260 TSS, fatigue (ATL) 54.7 Week of Aug 16: 120 TSS, fatigue (ATL) 44.1 Week of Aug 23: 413 TSS, fatigue (ATL) 65.2 Week of Aug 30: 111 TSS, fatigue (ATL) 38.8

TSS (Training Stress Score) is a single number combining how long and how hard a session was — 100 TSS ≈ roughly one hour at threshold effort. This is the same weekly figure as the bars in the chart above, zoomed to the last 8 weeks so the week-to-week swings (race week, rest week, a missed block) are actually readable. The line is fatigue (ATL — Acute Training Load), same intervals.icu daily-metrics feed as fitness (CTL) in the chart above. · Fatigue (ATL) · via Intervals.icu

Recent Activity

Upcoming Races

Compounding CEO
Compounding CEO

Leadership systems and decisions that scale, plus the tactical tools underneath them.

 Travel
Global Citizen

Borderless work, the base cities I've tried, and the trade-offs behind each move.

 Biohacking
Biohacker & Quantified-Self

Body composition, GLP-1, and recovery: a change counts only when the numbers move.

 Music
Songwriter and Busker

Guitar, songwriting, and playing to strangers: practice kept the same way training is.

 Thomas Prommer in a navy shirt
Men's Grooming & Style

The OG of looksmaxxing.
Face, hair, style, and the routine behind it.

Thomas Prommer in the Press

See all press & coverage →

AI is off

You switched AI off. Here's what it was doing.

Every AI thing on this page — the clone intro video and the Shorts — does one job: put real work in front of the people who should see it. I run it the way I'd run any system I'm accountable for: in production, with a human in the loop, measured against a number. The AI doesn't replace the expertise. It makes it easier to find.

  • Production-first. It runs in live environments, not demos.
  • Human-in-the-loop. AI helps the decision. It doesn't make it.
  • Measurable outcomes. Every use has a number attached, or it doesn't ship.

What it's for

That's the thesis behind Flywheel Motion: use AI to raise the visibility of the people doing real work, not to manufacture noise. Show the work, and let the evidence carry it.

Flywheel Motion is one product from We The Flywheel, the agentic-led, AI-first digital product and consulting studio I'm part of. Agents do the heavy lifting. People own the judgment.

The clone video and the Shorts you just turned off are the method, not the message. AI aimed at one job: getting the work in front of the people who can use it.

Ask AI Tom → Flywheel Motion →

Latest Shorts

Technology

Training

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Awards & Recognition