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Story

I burned all my tokens researching how to save tokens

1 report

1 website

1 discussion

Latest report

Overview

Quesma is researching the economics of AI agents and agentic coding costs. A personal deep research setup burned through the entire limit of the Claude Max 5x plan in 30 minutes, leading to a focus on cost reduction and trust improvement using existing subscriptions.

Summary from quesma.com.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. quesma.com

    I burned all my tokens researching how to save tokens

    Read report →

Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · quesma.com

I burned all my tokens researching how to save tokens ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

Based on 5 sampled comments from this thread. Analyzed 2026-07-19.

  • Praise: Using a combination of cheaper models for initial exploration and funneling results through powerful models can maximize efficiency and save tokens — this approach is gaining traction.
  • Praise: Some commenters highlight that cloud AI can significantly outperform local models, especially when cost is considered, making it a smart choice for many developers.
  • Praise: There's excitement around tools like RemembrallMCP that claim to reduce token usage while improving results, indicating innovation in optimizing AI interactions.
  • Concern: Many users express skepticism that the hype around cloud AI translates to real-world value, with concerns that it's often just a cycle of writing about AI without tangible products.
  • Concern: Commenters are frustrated with the hardware costs required for local AI models, arguing that it's financially impractical compared to using cloud solutions.
  • Concern: The persistent issue of hallucinations in AI outputs is a major concern, with some feeling that claims of 'no hallucinations' are unrealistic and misleading.