Return on Tokens (ROT)
Markie Wagner discusses the concept of Return on Tokens (ROT) and critiques the practice of tokenmaxxing in AI deployments. She argues that many Fortune 500 CEOs see token spend without clear returns, and that current AI agent models encourage wasteful usage. Backed by major investors, Wagner aims to reshape how businesses measure AI value through more disciplined token economics.
- ▪Wagner describes tokenmaxxing as a delusional practice where organizations chase higher token spend without measurable outcomes.
- ▪She notes that CEOs of large companies report committing to token budgets without understanding the benefits they generate.
- ▪Wagner proposes the Return on Tokens framework to align AI usage with tangible business value, moving away from wasteful token consumption.
Not Boring files mainly under business. We currently carry 7 of its stories.
Story provenance
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Not Boring |
| Canonical URL | https://www.notboring.co/p/return-on-tokens-rot |
| Publication time | Wed, 10 Jun 2026 18:02:16 GMT |
| Retrieval time | 2026-06-10T18:08:35.715Z |
| Last seen | 2026-06-10T18:08:35.715Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | lOB51wArVE_F |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Return on Tokens (ROT)Markie Wagner Co-WritesJun 10, 202681ShareWelcome to the 192 newly Not Boring people who have joined us since Monday! Join 269,285 smart, curious folks by subscribing here:SubscribeHi friends 👋,Happy Wednesday and welcome back! A couple of months ago, my friends Adam and Ben at Genius Ventures asked if they could introduce me to one of their favorite founders, Markie Wagner.The Markie Wagner? The Choose Good Quests Markie Wagner? The drop an all-timer then go quiet for years, cooking up something spoken of in hushed tones Markie Wagner? The grew up inside of a computer and dreamed as a young girl in Southern California, seriously, of making computers do the work that humans shouldn’t have to Markie Wagner?Of course I wanted to meet Markie Wagner.So we met a month…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Not Boring.
