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Product Pricing and Descriptions

Daily habits that reduce wasted AI spend, one text at a time.

  • A 14-day free trial starts September 15, 2026
  • $12 per seat per month, billed annually, $99 per seat per year (10 months for 12).
  • If you’re a student or not full time employed, $50 per seat per year.
  • 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 · Onboard, Navigate, Build, Scale, Mix · content is tuned to you
  • SMS, WhatsApp, or email · you choose your channel at sign-up
  • NEXT, PAUSE/RESUME, HELP, STOP · reply to navigate, ask, or cancel
  • Human-reviewed · every habit is written or approved by our team before it ships

Choose your subscriber type

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.

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.

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.

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.

After the 14-day free trial

Subscribers who continue after the trial move to their subscription at $12 per seat per month, billed annually, $99 per seat per year (10 months for 12). If you’re a student or not full time employed, $50 per seat per year.

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.