Theo’s Fable Workflow Hit Subscription Limits and Usage Costs

Theo describes a costly usage-based run and an unfinished workflow that exhausted two session limits.

ThTheoIntervenant
Chaîne
Theo - t3․gg
Publié
12 juin 2026
Vidéo
0:38
Lecture
1 min
Original
anglais
Ouvrir sur YouTube
En faisant défiler, la vidéo se réduit en bas à droite et continue. Les sous-titres suivent votre langue de lecture.
Langue de lectureDisponible en 2 langues
Cet article n’est pas encore disponible en français ; il s’affiche dans l’original en anglais.
RÉSUMÉ

En 30 secondes

Theo recounts testing Fable and switching to usage-based billing after reaching a subscription limit. He says the run spent $100 in roughly eight minutes, and a second subscription reached its five-hour session limit two hours later; these are his experience at the time, not a general price comparison.

  1. 1A costly switchTheo says usage-based billing consumed $100 in about eight minutes.
  2. 2A second session limitHe got another subscription and says its five-hour session limit was exhausted in two hours.
  3. 3Work left unfinishedOne workflow hit both limits, and Theo stopped rather than incur additional costs.

À retenir

  1. Theo says his usage-based run spent $100 in about eight minutes.
  2. He then used another subscription and reached its five-hour session limit in roughly two hours.
  3. The workflow remained unfinished, and he chose not to spend more to continue it.
  4. Subscription limits and usage-based charges can vary by plan and workload.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

Usage-based billing and limits

Theo describes switching billing methods and quickly spending $100. He then reaches the session limit on a second subscription.

I switched to usage-based billing after hitting my subscription limit, and it turned out to be a mistake for this run: it spent $100 in about eight minutes. My subscription usage limit seemed like a better deal for my workload, so I got another subscription and hit its five-hour session limit in another two hours.

02

An unfinished workflow

The task remained incomplete after the limits were reached. Theo decided not to continue spending on it.

One run, one workflow and one prompt were enough to exhaust the session limits on two subscriptions. The task still wasn't finished when I went to bed, and I didn't want to spend potentially another thousand dollars on it. It was a rough experience.

Sur la même chaîne

5 diapositives38:47EN
Theo - t3․gg· 28 oct. 2026Theo’s Long-Running Agent Experiments: Verification, Compute and CostTheo Browne · Ping LabsA skateboard game and two compiler projects show how repeated checks and flexible compute can sustain agent work—and how expensive those loops can become.Agents de codeIngénierie d’agentsAI cost & performance+2
5 diapositives36:07EN
Theo - t3․gg· 27 oct. 2026Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.AI cost & performanceAgents de codeInference+1
5 diapositives30:37EN
Theo - t3․gg· 26 oct. 2026Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.Agent skillsAgents de codeCode review & verification+2
2 diapositives0:43EN
Theo - t3․gg· 23 oct. 2026Theo Distinguishes Security Vulnerabilities from Active AttacksTheo Browne · Ping LabsA short explanation of why disclosed software flaws and reported attacks are different kinds of security news.CybersecuritySoftware engineering
6 diapositives29:22EN
Theo - t3․gg· 22 oct. 2026Theo on Security Vulnerabilities, Stolen API Keys and AITheo Browne · Ping LabsA look at the gap between vulnerability disclosure and patching, and a speculative account of why stolen inference keys may be valuable.CybersecurityAI securitySoftware engineering+1
4 diapositives31:13EN
Theo - t3․gg· 20 oct. 2026Theo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.Agents de codeDeveloper productivityHuman-AI Collaboration+1