Daily habits that reduce wasted AI spend, one text at a time.
- A 14-day free trial starts September 15, 2026
- $5 per seat per month, billed annually, $50 per seat per year (10 months for 12)
- Individuals sign up on this site. Companies connect for batch loading at Connect@CutTokenCosts.com or call Kelly at +1 559-670-0352
New to Cut Token Costs? Read the welcome page for the habit-change framing before pricing details.
How it works
Daily messaging. Four subscriber types. Delivered by SMS, WhatsApp, or email. Reply NEXT to advance, BACK to review yesterday’s habit.
- One habit per day, 7 days a week · concrete, applied, and short enough to try today
- Four subscriber types · Weaver, Mason, Smith, and Sage · content is tuned to you
- SMS, WhatsApp, or email · you choose your channel at sign-up
- NEXT, BACK, HELP, CANCEL · reply to navigate, ask, or cancel
- Human-reviewed · every habit is written or approved by our team before it ships
The four subscriber types
People come to AI from different starting points. Each subscriber selects the type that fits them best. Content is tuned to that voice, that vocabulary, and that workflow context. Subscribers can change types any time. This is a checkbox, not a ladder.
Weaver
For the person who uses AI inside tools they already know. The Perplexity tab, the Copilot pane in Word, the Gemini panel in Gmail. Weaver content addresses the daily habit of getting real value from AI.
Weaver example · everyday AI in familiar tools
Upload instead of paste
Tokens: When you paste a long document into AI, every word counts as input tokens you pay for. Upload the same document as a file attachment instead and most tools read it more efficiently, dropping input cost 30 to 50%. Reply NEXT. Reply BACK. Reply CANCEL. Reply HELP.
Recipient reaction · “That’s a small change I can try today.” Small change with measurable output improvement.
Mason
For the person building better workflows with AI. Automating repetitive tasks, redesigning how a spreadsheet or CRM works, using AI to save the same 90 minutes every week. Mason content moves the reader from “I use AI sometimes” to “AI is doing this specific thing for me every day.”
Mason example 1 · building AI into daily workflows
Context front-loading
Tokens: Put your context BEFORE your task, not after. Models weight recent tokens more, so “Given [context], do X” produces cleaner output than “Do X. Here’s context.” Reply NEXT. Reply BACK. Reply CANCEL. Reply HELP.
Recipient reaction · “That’s a small change I can try today.” Reverses the natural instinct to put context last. Small change with measurable output improvement.
Mason example 2 · building AI into daily workflows
Format-first prompting
Tokens: When you know you’ll need output in a specific format, name it in your first prompt. “Answer in 3 bullets, ≤15 words each” saves a follow-up round of “make it shorter.” Fewer round trips = fewer tokens. Reply NEXT. Reply BACK. Reply CANCEL. Reply HELP.
Recipient reaction · “I do the refinement dance every day.” Cuts the ask-then-refine cycle in half. Concrete and measurable.
Smith
For the IT technician, WordPress builder, network configurator, or troubleshooter who works alongside AI systems. Smith content addresses the operational side. When to trust AI output, how to spot cost anomalies, how to supervise AI agents that other teams built.
Smith example · supervising AI systems in IT and operations
In-thread summarization
Tokens: When deep in a chat and needing earlier context, ask the model to summarize the thread so far, similar to how you’d bookmark a long doc, instead of starting a new conversation. Summaries compress; new chats reload full history. Save the summary for reuse. Reply NEXT. Reply BACK. Reply CANCEL. Reply HELP.
Recipient reaction · “I default to opening a new chat too often.” Most users haven’t tried in-place summarization · it’s a compression pattern that keeps context intact.
Sage
For the power user with strong preferences and daily practice. Sage content focuses on multi-model routing, avoiding single-provider dependence, agent scaling, and staying current with what the AI industry is shipping · not what the podcasts are talking about.
Sage example 1 · advanced practices and multi-model routing
Model routing by task shape
Tokens: Not every prompt deserves your most expensive model. Route classification, extraction, and short rewrites to a small model at 1/10 the cost. Reserve the frontier model for reasoning and long-form work. One routing rule can cut monthly spend 40-60%. Reply NEXT. Reply BACK. Reply CANCEL. Reply HELP.
Recipient reaction · “We’re paying frontier prices for tasks a smaller model handles fine.” Uses concrete percentages, technical vocabulary (classification, extraction, routing rule), and a clear operating decision. Reads as credible to a senior technical buyer and legible to support staff.
Sage example 2 · leadership reframe for staff
Leaky faucet
Tokens: Your AI spend behaves like a leaky faucet, not a monthly bill. Small unnoticed drips outweigh the visible use. One weekly review of top ten calls by cost catches around 70% of the leak. Reply NEXT for more, BACK for yesterday, CANCEL to cancel, HELP for help.
Recipient reaction · “That is interesting.” Reframes AI cost from a fixed line item to an operating cost you can inspect and control.
The 14-day free trial · starts September 15
Two weeks is enough time to feel the habit shift. No credit card required to start.
At day 8 of the trial, you receive an opt-in link if you want to continue. If the fit is wrong, the trial ends on day 14, and there is nothing to cancel.
After the 14-day free trial
Subscribers who continue after the trial move to their subscription at $5 per seat per month, billed annually, $50 per seat per year (10 months for 12).
Helpdesk (optional add-on): $10 per ticket. 10+ ticket packs $8 per ticket.
The Helpdesk Tickets Option gives you a QUESTION channel that runs alongside the daily coaching. Anyone on the base subscription messages QUESTION followed by a question. Every question gets a human-reviewed reply within 24 hours, with the reviewer’s initials on every message.
How it works. Your team members message the Helpdesk QUESTION. Examples of questions that come through the channel:
- “Which model should I use for a 20-page contract review, and how do I structure the prompt?”
- “My team is duplicating work in ChatGPT and Claude. What is a reasonable way to pick one for a given task?”
Monthly Helpdesk rollup. At the end of each month you receive an email summary of your Helpdesk Ticket activity for the month. The rollup aggregates question themes across the month without identifying individual team members · what kinds of questions came through, what patterns emerged, what shifted after the answers landed.
When the Helpdesk fits. You want a channel for the questions you’re already asking. You want a way to see the shape of AI usage questions in your workflow without individual identifiability.
Ready to start September 15?
Sign Up Link
Related pages
If you’re a CFO or CEO looking at next quarter’s line-item review, ReduceTokenCosts.com offers additional personalization and reporting options.
If your team is closer in culture to a book club than a department and you want co-designed coaching in a Learning Circle format, see TokensHelpdesk.com.
For the underlying data (pricing volatility, benchmark studies, and the dashboards we’re building around cost per finished output), start at TokenCosts.ai.
Contact: Connect@CutTokenCosts.com. A product of 2 Degree Shift, a California C Corporation.