THE TOMORROW MACHINE

30-Day AI Productivity Program

Flagship engagement

Make key roles measurably better at real work in 30 days.

Selected employees learn and adopt repeatable AI methods on actual recurring tasks—with configured tools, review rules, and a measurement baseline. Not a generic company workshop.

Four focused weeks · Fixed engagement scope

Plan a 30-Day ProgramSee the week-by-week plan

MIT education · Former Amazon product leader · Longtime CTO · You work directly with Jason

A four-week timeline of printed deliverables—baseline scorecard, role playbooks, a configured checklist, and a before-and-after comparison—threaded by an orange workflow line

Who the program is for

For teams that have chosen the roles and problems—and now need adoption.

The Program fits organizations ready to act, often after a Readiness Review, a strong referral, or a discovery conversation.

  • Leadership has selected the roles and recurring work to improve
  • Employees are already experimenting with AI informally
  • Recurring knowledge work in sales, operations, administration, reporting, or client service
  • A need to move from scattered experiments to repeatable, measured methods
  • Willingness to use real company work in supervised labs
  • An executive sponsor to protect time and remove blockers

What changes in 30 days

Repeatable methods, configured tools, and a measured baseline.

Role-specific playbooks

Practical methods for the selected roles, built from real recurring tasks.

Configured tools

Projects, assistants, templates, and review checklists your team keeps.

Human-review rules

Explicit guidance for checking, approving, escalating, and protecting sensitive information.

Adoption baseline

A before-and-after view of task time, editing burden, output usefulness, and use.

Failure modes named

Where the method breaks, and how staff recognize and handle it.

Automation backlog

A prioritized list of what better tool use solved and what merits configuration, integration, or a build.

How roles and workflows are selected

A small number of roles, chosen for value and feasibility.

  • Start from leadership's priorities and competitive pressure
  • Choose recurring tasks with recognizable inputs and outputs
  • Favor work with enough volume to matter
  • Confirm a human owner for each workflow
  • Establish current time, quality, and review burden as a baseline
  • Limit scope so the team can actually adopt what it learns

Week-by-week program

Baseline, methods, repeatability, measurement.

  1. 1

    Week 1 — Baseline and role selection

    Confirm outcomes, inventory tools and licenses, select roles and recurring tasks, and establish current time, quality, and review burden.

  2. 2

    Week 2 — Real-work methods

    Build instructions, examples, and review rubrics; test ChatGPT, Claude, voice, browser, or suite features on real work; identify failure modes.

  3. 3

    Week 3 — Repeatability

    Configure projects, assistants, templates, and checklists; define human review and escalation; train on live work.

  4. 4

    Week 4 — Measurement and handoff

    Compare performance, assess adoption, document methods, prioritize the automation or build backlog, and deliver a leadership report.

Real-work labs

The team practices on actual company work—supervised.

Labs use real documents, meetings, research, communication, and reports, with a person reviewing outputs. Examples vary by role.

Drafting and review

Turn discovery notes into proposals, or compare long documents against a standard position for professional review.

Research and briefings

Prepare sourced client or prospect briefings before calls, meetings, or proposals.

Voice to structured work

Turn spoken field or meeting notes into records, summaries, and tasks with human review.

Supervised browser tasks

Gather information across approved sites and portals and prepare a report, with checkpoints.

What you keep

Configured outputs your team owns at the end.

  • Role-specific playbook
  • Configured project or assistant
  • Prompt and context templates
  • Review checklist and escalation rules
  • Before-and-after task scorecard
  • Adoption report
  • Prioritized automation backlog

Measurement and adoption

Measured behavior, not attendance.

Productivity

Compare task time, editing burden, and output usefulness against the week-1 baseline.

Consistency

Assess whether the method produces reliable results across people and cases.

Adoption

Track whether the selected roles actually use the configured tools on live work.

What you provide

The program works when leadership protects time and access.

  • An executive sponsor
  • Two to five selected participants, depending on scope
  • Access to representative recurring work
  • Existing policies or constraints on data and tool use
  • A list of major software and AI subscriptions
  • Protected time for labs and practice on live work
  • Participation in a final leadership report

Risks and boundaries

What the program does not do.

  • It is not a generic all-company workshop
  • It does not guarantee a specific return on investment
  • It does not include a production custom application unless separately scoped
  • It does not authorize unsupervised external communications or irreversible actions
  • Adoption depends on protected time and leadership support
  • AI outputs require review appropriate to the task
  • Sensitive workflows may require approved vendors, agreements, or additional controls

The goal is durable capability inside your team—methods, tools, and review rules that outlast the engagement.

Example role playbooks

What a configured role looks like.

Sales

Sourced prospect briefings, consistent proposal drafts, and tracked follow-up with human approval on outreach.

Operations

Voice-to-task workflows, exception routing, and document comparison with staff review.

Client service

Standardized intake and response drafting, escalation rules, and a shared knowledge assistant.

Leadership

Recurring management memos assembled from existing source material, reviewed before sending.

Scope

Scoped to roles and depth.

Scope, deliverables, and a fixed price are defined in writing before the program begins.

Price is affected by

  • Number of roles and participants
  • Number and complexity of recurring workflows
  • Tool and license landscape
  • Sensitive-data requirements
  • On-site versus remote delivery
  • Depth of measurement and reporting

Why The Tomorrow Machine

The person who designs the method also builds it.

You work directly with Jason Merkoski. The methods are built and tested on your real work, not delivered as slides. Jason combines an MIT education, early Amazon product leadership, and current hands-on work across ChatGPT, Claude, voice AI, supervised browser automation, and production systems.

That means the program can teach what is genuinely useful now and prioritize automation only where the evidence supports it.

  • Configured on your real recurring work
  • Human review built into every method
  • Measured adoption, not attendance

FAQ

Questions buyers ask first.

Training teaches concepts. This program configures tools on your real work, establishes review rules, and measures whether adoption actually improves speed, consistency, or capacity.

Before and after the program

How the Program connects to the rest of the ladder.

AI Productivity & Readiness Review

The right first step when roles and workflows have not been selected yet.

See the Readiness Review

Workflow Upgrade

For a proven process that needs configuration or supervised automation.

See the Workflow Upgrade

Fractional AI Operator

Ongoing ownership and continuity after the program ends.

See the Fractional Operator

Plan a 30-Day Program

Turn scattered AI experiments into measured capability.

Bring the roles and recurring work you want to improve. We will confirm fit, define the smallest useful scope, and plan the four weeks.

Free AI Strategy Conversation · No sales team · You speak directly with Jason

Prefer email? Reach Jason directly at hello@tomorrowmachine.ai.

Based in Santa Fe, New Mexico. U.S. Mountain and Pacific working hours.

Book an AI strategy conversation

Pick a time for a free 30-minute AI Strategy Conversation. Bring the business problem on your mind—you will leave with an honest point of view on where AI can create the most value, and your best next move.

What happens on the conversation

  1. 1.You describe the business problem, recurring work, or competitive pressure on your mind.
  2. 2.We share an honest, specific point of view on where AI could create the most value—and where it should not.
  3. 3.You leave with a concrete sense of your best next move, whether or not you work with us.
  4. 4.You speak directly with Jason Merkoski, our founder and principal consultant—no sales team, no pitch deck.

Useful to bring

  • The business problem or recurring work you want to improve
  • The AI tools and software your team already uses
  • What a meaningful first step would make possible
Plan a 30-Day Program