TXPTenXPros

The TenX Method

Frame. Design. Prove. Foresee.

A 12-week applied path for experienced professionals. Build practical AI judgment: find where AI belongs in your field, design responsibly, prove the value, and assemble a reviewed Living AI Solution Dossier.

  • 12 guided weeks
  • 4 phases
  • 1 reviewed dossier

The TenX Method

12 weeks
  • 01FrameWeeks 1–4
  • 02DesignWeeks 5–8
  • 03ProveWeeks 9–10
  • 04ForeseeWeeks 11–12
OutputLiving AI Solution Dossier

Why this method exists

Using AI is easy. Leading adoption is harder.

Adoption is not a prompt. It means deciding where AI belongs in your work, where it creates risk, how humans stay accountable, and how value is proven. The TenX Method is a repeatable way to do that with a focused professional challenge, and to leave with evidence you can defend.

Method overview

The four phases.

01 / 04Weeks 1–4

Frame

Define the problem, context, boundaries, and AI fit.

02 / 04Weeks 5–8

Design

Build responsible workflows, knowledge packs, and guardrails.

03 / 04Weeks 9–10

Prove

Test quality, usability, value, and risk.

04 / 04Weeks 11–12

Foresee

Create the roadmap and defend what comes next.

Format & commitment

Built for working professionals.

Duration
12 guided weeks
Structure
11 core modules + final dossier & capstone review
Built for
Working professionals
Weekly commitment
Approximately 3–5 hours per week
Format
Async-first
Checkpoints
Tied to the dossier, not video attendance

You do not need to code. You do need professional judgment, because the work is reviewed against a real standard. Progress is measured by the dossier you build, not by hours of video watched.

The guided path

The guided path.

12 guided weeks across 4 phases: 11 core modules plus a final dossier and capstone review. The early weeks build AI orientation and problem discovery; later weeks move into responsible design, proof, and foresight. Each module carries a guiding question and a milestone badge, and moves the dossier forward.

Phase 01 · Weeks 1–4

Frame

Define the problem, context, boundaries, and AI fit.

4 modules

  • 01

    AI Readiness & TenXPro Mindset

    Where do I stand, and what kind of AI-adopted professional am I becoming?

    Milestone · TenX Mindset
  • 02

    Practical AI Literacy & Hands-On Tool Fluency

    What can AI realistically do, and how do I use it responsibly in real work?

    Milestone · AI Core
  • 03

    Responsible AI & Professional Boundaries

    What should I not automate, disclose, or delegate?

    Milestone · Responsible AI
  • 04

    Problem Discovery & Structured Framing

    Which problem is worth solving with AI?

    Milestone · Problem Framing

Phase 02 · Weeks 5–8

Design

Build responsible workflows, knowledge packs, and guardrails.

4 modules

  • 05

    Context, Stakeholder & Initial Foresight Mapping

    Who is affected, and what changes around this solution over time?

    Milestone · Context Mapper
  • 06

    Data, Evidence & Verification Discipline

    What evidence can be trusted enough to guide an AI-supported workflow?

    Milestone · Evidence Discipline
  • 07

    Workflow, Task & Human-AI Allocation

    What should the human do, what should AI assist, and where does judgment remain?

    Milestone · Workflow Designer
  • 08

    Responsible AI Solution Design

    How do I design a solution that is useful, safe, and accountable?

    Milestone · Responsible Solution

Phase 03 · Weeks 9–10

Prove

Test quality, usability, value, and risk.

2 modules

  • 09

    Adoption, Communication & Change Design

    How will people understand, trust, and adopt the solution?

    Milestone · Adoption Designer
  • 10

    Value, Roadmap & Proof Plan

    How will I prove the solution is worth continuing?

    Milestone · Value Proof

Phase 04 · Weeks 11–12

Foresee

Create the roadmap and defend what comes next.

1 module

  • 11

    AI Foresight, Scenario Planning & Future-Proofing

    How do I keep this solution relevant as AI, work, and risk change?

    Milestone · Foresight Strategist

Week 12 · Final review

Final dossier & capstone review

The eleven modules assemble into the Living AI Solution Dossier, which is reviewed against the public criteria — the capstone that earns the credential.

What you build

Eight assets, one dossier.

The weekly work is not busywork — each phase produces a connected asset. Assembled together, the eight assets become the reviewed Living AI Solution Dossier.

  • 01

    Personal AI Strategy Brief

    Your stance, scope, and adoption thesis.

  • 02

    AI Use-Case Portfolio

    Where AI earns its place in your work.

  • 03

    Interaction & Decision Kit

    Prompts, checks, and human-in-the-loop rules.

  • 04

    Grounded Domain Knowledge Pack

    The trusted sources your AI work stands on.

  • 05

    AI Evaluation Rubric & Test Set

    How you measure whether it actually works.

  • 06

    Custom Assistants & AI Workflows

    The working system — not a demo.

  • 07

    AI Value & Economics Case

    The evidence that it is worth doing.

  • 08

    Final Portfolio & 90-Day Roadmap

    What you ship next, and how you lead it.

Assembled together, the eight assets form the reviewed Living AI Solution Dossier — the artifact at the center of the credential.

Personalization without chaos

Field-specific, not improvised.

The diagnostic shapes your path around your field, risk level, stakeholders, evidence, output type, and time — but the review standard stays the same for everyone. Personal, not random.

  • 01

    Field & context

    Your domain and the work the problem lives in.

  • 02

    Risk & sensitivity

    How exposed the work is, and what must stay protected.

  • 03

    Stakeholders

    Who is affected and who must trust the result.

  • 04

    Output type

    What the AI-enabled work needs to produce.

  • 05

    Evidence readiness

    What you can measure, and what you can safely use.

  • 06

    Time availability

    The pace you can realistically commit to.

Review checkpoints

Every phase moves toward review.

The dossier is not a last-minute assignment. It is assembled gradually through artifacts and checkpoints, so the final review confirms work you have already been doing.

  1. 01Weeks 1–4

    Frame checkpoint

    Problem, boundaries, and AI fit are reviewable before you build.

  2. 02Weeks 5–8

    Design checkpoint

    Workflow, knowledge pack, and guardrails take shape.

  3. 03Weeks 9–10

    Prove checkpoint

    Evaluation, value evidence, and adoption plan are tested.

  4. 04Weeks 11–12

    Final dossier checkpoint

    Foresight, roadmap, and the assembled dossier go to review.

What makes the work defensible

Built to hold up to review.

The difference is not which tools you touch — it is whether the work holds up when someone asks how you decided. Every phase of the TenX Method leaves evidence you can defend.

  • 01

    Starts from a real problem

    Work from your actual field and constraints — not a sandbox exercise.

  • 02

    Designs responsible AI use

    Explicit boundaries, governance, and the judgment that stays with a human.

  • 03

    Tests outputs against a rubric

    An evaluation rubric and a test set — not a claim that it simply works.

  • 04

    Documents risks and value

    Risk, ethics, and the value case written down where they can be reviewed.

  • 05

    Becomes reviewed evidence

    A dossier assessed against the eight public criteria — work you can stand behind.

TenXPros teaches a deeper level of AI use: how to discover the right problems, decide where AI genuinely belongs, design responsibly, and prove the value in your own field. The result is reviewed work an employer, client, or team can actually check.

Illustrative TenXPros Living AI Solution Dossier cover for fictional participant Maya R.Living AI Solution Dossier · Cover

Where the method leads

See where the method leads.

The sample dossier shows how the method turns a professional problem into a structured, reviewed artifact — the four phases, the eight assets, reviewer notes, and the rubric mapping, in one document.

Illustrative sample. Fictional participant. No real client data. Review labels are illustrative, not a certification decision.

Founding Charter

Bring your expertise. We bring the AI method.

Apply for the Founding Charter with your expertise and the challenges you want to explore. Payment happens only after acceptance.