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Welcome

Cut Token Costs.

Daily upskill habits that cut AI spend one message at a time.

Cut Token Costs is an SMS, WhatsApp, or email habits coach for entrepreneurs, individuals, and finance, operations, marketing, HR, and client-facing teams who want to build the daily prompting habits that reduce AI spend and improve productivity. Similar to how phishing-awareness training and 2-factor authentication changed security behavior, applied to AI token costs.

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We won’t ask you to pick a subscriber type on day one. During your 14-day trial, each message arrives labeled Onboard, Navigate, Build, or Scale, so your best-fit track reveals itself through use. When you subscribe at the end of your trial, we’ll show you plan details side by side for you to select your initial track. You can change tracks anytime.

The problem worth solving quietly

We overspend on AI because we learned AI on our own, at different speeds, using different models and tools, without a shared way to talk about what works.

So we retype the same context every session. We reach for the expensive model on autopilot. We take three rounds of clarification instead of one clean pass. Small habits, repeated dozens of times a day, compound into the invoice you’re looking at.

Cut Token Costs sends one daily message that changes one habit at a time.

You know this pattern

  • Your AI usage grew and the invoice grew with it, you’re not sure which prompts drove which cost.
  • Your team keeps reaching for premium model tiers, and the bill keeps growing.
  • You tried the cheaper model. You started using more of it. The bill grew.
  • You have multiple AI subscriptions across a small team and no one is tracking which is doing what.
  • Departments and individuals are quietly running their own AI subscriptions on personal cards or expense reports.

Sound familiar? Read on.

The lever that moves the number

What changes next month’s AI spend is what you do every time you open an AI model. Habits are the lever. Most AI waste comes from ordinary, repeated habits:

  • Vague prompts that trigger three rounds of clarification instead of one clean pass
  • Retyping brand voice, project context, or client history repeatedly instead of loading it once
  • Defaulting to the expensive model for a one-line email edit
  • Running five thin prompts where one loaded prompt would finish the work
  • Re-generating from scratch instead of reusing a template that worked

Change these habits and the invoice changes. That is our thesis.

Why habits, and why now

Habits are how large groups of people change behavior at the same time. The security industry proved this. Small, frequent phishing-awareness reinforcement drove click rates down 86% over twelve months of daily nudges (FutureCISO). 2-Factor authentication is now the standard. Same behavior-change mechanic, applied to AI spend.

Two reasons this framing works:

Habits create immediate action. A daily habit message coaches a specific thing to try in your next AI conversation. The spend on that prompt is different that day, and the invoice moves in the direction you want.

Habits compound. Slow at first, then a compounding change that shows up on the invoice by month two or three.

Explore, Practice, Apply

Our approach is a partnership with People, AI, and Data, in that order.

  • Explore. A habit is introduced. You interpret and understand the concept.
  • Practice. You use it in familiar contexts to build fluency.
  • Apply. You implement it across different types of work.

A habit can be Apply-level in one context and Explore-level in another. Someone who loads their brief when writing campaign copy might forget to load it when writing an internal HR memo. That is normal. The daily coaching keeps you moving through the three stages.

What arrives in your inbox or on your phone

One short message a day. Concrete. Ready to try in your next AI conversation.

Here’s a Navigate example, the everyday-tools content stream:

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 PAUSE. Reply STOP. Reply HELP.

That is what a Wednesday looks like. Next Wednesday is a different habit. By the end of month one, you have built 30 new habits and your AI conversations look different.

What you receive during your 14-day free trial

We won’t ask you to pick a plan on day one. During your 14-day trial, each message arrives labeled Onboard, Navigate, Build, or Scale, so your best-fit track reveals itself through use. When you subscribe at the end of your trial, we’ll show you plan details side by side for you to select your initial track. You can change tracks anytime.

Each subscriber receives:

  • One habit message per day, 7 days a week · tuned to your subscriber type
  • NEXT navigation · advance or review at your pace
  • PAUSE/RESUME · pause if busy r away and resume when ready
  • STOP any time · cancellation is one keyword away
  • HELP · every question gets a human-reviewed reply within 24 hours

You choose SMS, WhatsApp, or email at sign-up.

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.

Helpdesk Tickets

Helpdesk Tickets is a question channel alongside daily coaching. A team member messages QUESTION followed by a question. Every question gets a human-reviewed reply within 24 hours, with the reviewer’s initials on every message for a follow-up.

Pricing

For more details, see the Product Pricing page.

Base coaching, SMS, WhatsApp, or email: $12 per seat per month, billed annually, $99. And with a student discount at $50 per seat per year.

Helpdesk (optional add-on): $10 per ticket. 10+ ticket packs: $8 per ticket.

Choose your subscriber type

After the 14-day trial, you select a subscriber type at sign-up · Onboard, Navigate, Build, Scale, or Mix. People come to AI from different starting points, and content is tuned to that voice, vocabulary, and workflow context.

Onboard

The Onboard subscriber has yet to choose AI as a work practice. They have encountered AI through provided surfaces (search overviews, autocomplete, spellcheck suggestions) and have watched colleagues use it, but they have yet to pick their own tool, open their own account, or decide when AI is worth their time.

Common roles:

  • Frontline and service. Retail associate, food service worker, hospitality staff, transportation worker, home services provider, caregiver, security officer.
  • Skilled trades. Electrician, plumber, carpenter, HVAC technician, welder, mechanic, machinist, landscaper.
  • Administrative and clerical. Office administrator, front desk coordinator, records clerk, scheduler, executive assistant, receptionist.
  • Public sector and community. Local government staff, library assistant, school support staff, community health worker, faith community staff, parks and recreation staff.
  • Health, education, and human services. Direct care worker, teacher’s aide, paraprofessional, medical assistant, dental assistant, social service caseworker.
  • Returning workers and career changers. Someone re-entering the workforce, changing sectors, or moving into a first knowledge-work role after years in another field.

What unifies Onboard subscribers is the mix of a working adult’s judgment with an early relationship to AI. They know their job. They have not yet decided whether AI belongs in it. They want to make a fair call before adopting a tool that other people are already using, and they want the call to be their own.

Their expertise is in their trade, their sector, and the tacit knowledge that a workday builds up. AI is one more system they can choose to add. They want the coaching to respect that they are capable adults making a considered choice, and to keep the vocabulary plain while it does.

AI can shorten a task, help draft a message, translate a passage, or answer a small question. The Onboard subscriber brings the working context and the judgment about whether the answer fits their situation. The coaching brings a clear picture of what the current tools are, what they are for, and one small thing to try today. Together, the pair moves the subscriber from watching to using at the pace they choose.

Onboard coaching examples:

  • What ChatGPT, Claude, Gemini, and Perplexity are, in plain language.
  • Small tasks to practice.
  • How to read an AI answer critically. What to trust. What to check.
  • Free versus paid. When free is enough. When paid earns its cost.
  • The difference between an AI answer and a search result, and when each is the better move.

Onboard security and cybersecurity examples:

  • What to share with an AI tool and what to keep out. Names, addresses, health information, financial details, employer information.
  • How to recognize AI-generated scams in email, SMS, and voice calls.
  • Account basics. Strong passwords, multifactor authentication, and how to spot a fake sign-in page.
  • What happens to the words you type into a free AI tool. Where they go. Who might see them.
  • How to close, delete, or pause an account when the subscriber decides a tool is no longer for them.

Navigate

The Navigate subscriber is central to how their organization runs. They carry the volume, the customer contact, and the operational judgment that keeps things working.

Common roles:

  • Human resources. HR lead, HR coordinator, HR business partner, benefits specialist, recruiter, learning and development lead, employee relations specialist.
  • Marketing. Marketing coordinator, marketing manager, content lead, brand specialist, digital marketing lead, marketing operations, community manager.
  • Operations. Operations manager, operations coordinator, business operations lead, chief of staff, program manager, project coordinator.
  • Customer experience. Customer success lead, customer service manager, member services lead, patient services coordinator, client relations manager.
  • Program and specialist roles. Admissions or grants coordinator, compliance specialist, contract administrator, event manager, communications specialist.
  • Mid management. Department heads, department leads, team leads across the categories above.

What unifies Navigate subscribers is they own outcomes. They talk to customers, members, patients, or clients more than most people in the organization. They make sure the organization functions well.

Their expertise is in operations, people, communications, and the systems of work that keep an organization running. AI is now one of the systems of work they manage.

AI can amplify their capacity or waste their time, and they know it. They want a working mental model of the AI ecosystem so they can make good calls about tools, workflows, and where to invest their attention. They want coaching that respects their responsibility and their expertise. The Navigate subscriber brings the operational judgment, the customer context, and the domain expertise. AI brings capacity, options, and pattern recognition from other contexts. Together, the pair makes something better than either might alone.

Navigate coaching examples:

  • Current, relevant ways to use AI specific to their work and sector.
  • A working mental model of the AI ecosystem. Models, workflows, and what fits where.
  • Cost and ROI coaching.

Navigate Security and cybersecurity examples:

  • Recognizing AI-enabled phishing patterns in email, SMS, and voice.
  • Basic KYC and AML awareness for functions where it applies. HR onboarding, member intake, marketing list building, customer intake.
  • Vendor security signals to look for when the team considers adopting a new AI tool.
  • Recognizing when a request warrants escalation to IT or security, and how to raise it well.
  • Password managers, multifactor authentication, session hygiene.

Build

The Build subscriber runs something end to end. A whole business. A whole function. A whole practice. They own the P&L, the customer relationship, or the outcome directly. When something goes wrong in their domain, it lands on them.

Common roles:

  • Owner-operator. Small business founder. Solopreneur. Managing partner. Studio owner. Shop owner. Independent practice owner (consultant, coach, accountant, lawyer, agent, therapist, designer, developer, tradesperson).
  • Function head. Head of sales at a small or mid-size company. Head of marketing. Head of operations. Head of customer success. Head of finance. Chief of staff.
  • Executive director. Executive director of a nonprofit. Director of a small foundation. Head of a small association.
  • Multi-hat senior operator. Managing director of a small firm. Chief operating officer at a company under fifty people. General manager of a location or region.
  • Independent professional running a practice. Solo attorney. Solo accountant. Solo agent. Solo therapist. Solo designer. Solo consultant. Franchise owner.

What unifies Build subscribers is owning outcomes across multiple domains at once. Sales, marketing, operations, HR, tax, legal, and customer are not separate departments in their world. The subscriber uses AI daily. They have preferred tools. What they want is coaching that supports them to use AI across the many domains they own, and see the business ROI clearly.

The Build subscriber thinks about: Did I quote that project right? What am I missing on the tax question? Is my sales copy good? What am I supposed to know about GDPR? Should I be running ads? AI serves as the working partner who supports closing those loops in a short time instead of spending three days reading the documentation.

AI is a working partner. A team member who covers the domain the Build subscriber cannot cover alone. The Build subscriber brings the business judgment, the customer context, and the operational instinct. The coaching brings the specific angle and the pattern that would take hours to work out from scratch.

Builder example priorities:

  • Cover the weak spots without hiring four people they cannot yet afford.
  • Expand the operation with AI as added capacity.
  • Compete with bigger competitors by punching above weight class.
  • Compound the ROI over weeks and quarters.
  • Know their business AI spend is paying off.

Builder security and cybersecurity example topics:

  • Vendor risk when adopting AI tools. What to check before signing up. Data handling terms. Where the data is stored. Subprocessor lists. Model training on customer inputs.
  • Contract confidentiality. AI review of NDAs and contracts without leaking counterparty information.
  • Cyber insurance implications of AI adoption. What to disclose. What to document.
  • Recognizing AI-enabled phishing and business email compromise patterns aimed at owner-operators.
  • Backup and recovery hygiene when business workflows depend on AI outputs.

Scale

The Scale subscriber has AI at the center of what they are shipping. They own architectural decisions, deployment decisions, or outcome decisions that other people depend on. Real stakes. Real numbers. Real product or service.

Common roles:

  • AI product founder. Building an AI-first product. Owner of the model routing, the agent design, the cost curve.
  • Senior operator running an AI initiative. Inside a larger company, responsible for the AI adoption, integration, or transformation program with a measurable target and a budget.
  • Consultant or agency principal selling AI services. Building bespoke AI workflows or systems for clients. Responsible for delivery and margin.
  • Technical practitioner deploying AI systems at scale. Engineering leader, staff engineer, principal engineer, ML engineer, applied AI engineer. Shipping production AI.
  • Product or engineering leader responsible for AI features. Head of product with AI in the roadmap. Head of engineering with AI in the stack.
  • Sector expert applying AI to a measurable outcome. Deep sector expertise (medical, legal, financial, scientific, industrial) paired with a specific AI-applied business or research outcome.

What unifies Scale subscribers is building, shipping, or deploying with real stakes. They are responsible for what an AI system does or does not do in production or in the client’s hands.

The Scale subscriber has technical depth or sector depth, or both. Scale is for engineers and for deep sector experts alike. A pharma expert applying AI to clinical operations, a financial services operator applying AI to compliance workflows, a legal services principal applying AI to matter management, all belong here alongside the AI engineer.

Scale coaching examples:

  • Model behavior. Claude, GPT, Gemini, Grok, open-weight models. Strengths, weaknesses, and specific behaviors under production load. Model routing. When to use a small model, a large model, a reasoning model, or a specialized model.
  • Prompt caching. When it applies. How much it saves. What breaks it. Model routing for cost. When a smaller model with a fallback saves more than the flagship. The buy vs build calculation at production scale. Protocols. MCP, tool use, structured output, function calling, streaming protocols. What is landing in production. What is not.
  • Deployment patterns. Latency budgets. Streaming. Batching. Fallback and retry logic. Caching layers.
  • Evaluation frameworks. How to know your AI system is working. What to measure. What to log. Systems supervision. Monitoring, alerting, and incident response for AI systems.
  • Batching and asynchrony. When to batch. When to stream. When to defer. Cost anomaly detection. What to log so a bad prompt does not bankrupt the run.

Scale security and cybersecurity example topics:

  • Architectural security. Prompt injection defenses. Agent trust boundaries. Least-privilege tool design. Backup and recovery hygiene when business workflows depend on AI outputs.
  • Deployment security. Secrets handling in agent systems. Audit logging for AI actions. Rate limiting and abuse detection.
  • Model provider risk. Data handling terms. Region availability. Provider redundancy. Model deprecation risk. Agent supervision. When to require human confirmation. When to allow autonomous action. How to design the trust ladder.
  • Vendor risk when adopting AI tools. What to check before signing up. Data handling terms. Where the data is stored. Subprocessor lists. Model training on customer inputs.
  • Cyber insurance implications of AI adoption. What to disclose. What to document.

You can change subscriber types any time. This is a checkbox, not a ladder.

Frequently asked

How do the habits reach me?

By SMS, WhatsApp, or email: you choose at sign-up.

What if I want to cancel?

Message STOP any time. Sign back up at CutTokenCosts.com when you’re ready to restart.

Can I switch subscriber types after signing up?

Yes. Reply to any habit message with the new type name (ONBOARD, NAVIGATE, BUILD, SCALE, OR MIX) and your next-day content shifts.

What company or organization level subscriptions are available?

We are primarily a B2B product. Please email Connect@CutTokenCosts.com for details or call Kelly at +1 559-670-0352. We will send you how we can upload with a .csv.

How much will it cost after the free trial?

$12 per month or $99 per year per seat. If you are a student or not employed full time, $50 per year per seat.

Sign Up Link

Who we are

Cut Token Costs is built by 2 Degree Shift, a California C Corporation and an applied research and work-based learning product firm collaborating with individuals, entrepreneurs, small, and mid-market companies.

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.