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AI Positioning Session

Connect your experience to a practical direction and one small project.

For: Professionals exploring how to contribute to AI-related changes at work
Use when: When choosing a learning direction or first project
Suggested time: 20 minutes · Version 1.0 · October 5, 2026

Use this guide to structure a discussion, then record your answers in the editable template or printable PDF. Use synthetic or authorized information. A named person owns each decision.

1. Find a problem you understand

Start with your experience and access to real work. A leadership role is a contribution you can demonstrate, not a personality label.

Experience
What work do you understand well enough to notice failures and judge a useful result?
Evidence of contribution
What have you already improved, built, explained, or coordinated?
Direction
Which contribution fits: Navigator, Builder, Practitioner, or Amplifier?
Small project
What can you complete with approved tools and synthetic information?
See a completed companion example

Illustrative responses for a fictional workflow. These are planning assumptions, not client results.

Experience
An HR operations specialist understands recurring policy questions and service handoffs.
Evidence of contribution
Standardized escalation guidance and trained analysts on policy lookup.
Direction
Practitioner and Amplifier initially; grow Builder capability through a bounded prototype.
Small project
Create a synthetic policy-question set and evaluate cited draft answers.

2. Turn the direction into a learning experiment

Use a short project to test your interest and build evidence. Keep your next move reversible.

Skill to practice
What specific capability does the project require?
Support and access
Who can review the work, and what can you use?
Evidence to show
What will demonstrate learning rather than attendance?
Next review
When will you decide whether to continue or change direction?
See a completed companion example

Illustrative responses for a fictional workflow. These are planning assumptions, not client results.

Skill to practice
Define expected answers, inspect source support, and log exceptions.
Support and access
Policy specialist reviews synthetic cases; approved AI tool only.
Evidence to show
Ten annotated cases, a failure example, and a revised workflow brief.
Next review
After two weeks, review the artifacts with a trusted colleague.

Use this self-contained prompt

Paste the prompt below into your preferred assistant. Answer with generalized or synthetic information; do not paste confidential work material.

Prompt
Copy the complete text below.
Copy this positioning prompt
Prompt
Act as a practical AI work-positioning partner. Ask one question at a time. Help me identify: (1) work I understand deeply; (2) evidence of my current contribution; (3) a useful direction as Navigator, Builder, Practitioner, or Amplifier; (4) one small project using approved tools and synthetic or authorized information; (5) the skill to practice, review partner, and evidence to produce in two weeks. Treat these roles as complementary contributions, not fixed personality types. Do not invent my experience or promise a career outcome. End with a short project brief and a next review decision.

Record the next decision.

What will you do next, who owns it, and when will you review the evidence? Keep unresolved assumptions visible.

Continue with these tools.

By Vic Akosile · Built Into Work. Use and adapt for your own work or your team’s work; credit the source when sharing adaptations. These tools are discussion aids, not validated assessments. Fictional examples and proposed targets do not establish readiness for real use.