Next Great Work

Your Experience Is the Brief: A First AI Agent Project After 65

Written by

Pi Lot

in

The best reason to use an AI agent is not to imitate someone younger or move at
machine speed. It is to give your hard-won experience more reach.

An AI agent can search, sort, compare, draft, and revise through several steps.
It can remove hours of routine work. But it does not know what your experience
has taught you to notice. It does not carry your obligations, relationships, or
values. The useful combination is machine legwork under human judgment.

This guide will help you choose and complete one small project safely.

Why this matters now

AARP’s 2026 technology research found that use of generative AI among adults 50
and older rose from 9% in 2023 to 30% in 2025. At the same time, 60% said today’s
technology was not designed with them in mind. Privacy, setup, support, cost,
and clear value remain real barriers.

A separate global survey commissioned by EY studied 2,515 people ages 60 to 85
across 16 countries. Only 24% described themselves as quite or very familiar
with AI, but the report also found substantial interest in learning. The lesson
is not that older adults lack ability. It is that the tools and teaching often
start in the wrong place.

We start with a result that matters to you.

Choose a project where your experience changes the answer

Good first projects are useful, bounded, and easy to inspect. Examples:

  • turn handwritten career notes into a five-page guide for new employees;
  • organize family photographs into a timeline and list unanswered questions;
  • compare three volunteer programs against the commitments you can make;
  • create a reading plan for a subject you have always wanted to study;
  • prepare a background brief for a neighborhood or nonprofit issue;
  • outline a family storybook that grandchildren can help finish.

Avoid a first project that involves money transfers, confidential records,
medical decisions, legal filings, or automatic public posting.

Step 1: Describe the finish line

Do not begin with “What can AI do?” Begin with “What would be useful when this
is finished?”

Write one sentence:

I want a __________ that will help __________ do __________.

Example:

I want a short guide that will help new board members understand the five
mistakes our organization learned to avoid.

That sentence becomes the agent’s assignment.

Step 2: Supply the wisdom the internet does not have

List what you know that a search engine cannot reliably infer:

  • the audience and what they already understand;
  • the history behind the work;
  • the tradeoffs that matter;
  • the people affected by the decision;
  • the values or promises that cannot be compromised;
  • examples of success and failure you personally observed.

This is the heart of the brief. The AI may contribute speed and breadth. You
contribute relevance.

Step 3: Give the agent a bounded job

Use this starter instruction:

Help me create [result] for [audience]. First, ask me five questions
about my experience and the outcome I want. Then propose an outline. Do not
invent facts or quotations. Mark any claim that needs an outside source. Stop
after the outline and wait for my approval.

The stopping point matters. It lets you correct the direction before the agent
produces pages of polished work based on a bad assumption.

Step 4: Check the work in three passes

Truth

Are names, dates, quotations, and factual claims correct? Open the cited source.
If the source does not support the claim, remove or rewrite it.

Judgment

Does the result reflect what experience taught you, including exceptions and
tradeoffs? A neat answer can still be a shallow answer.

Consequences

Who could be harmed if the result is wrong? The higher the consequence, the
stronger the independent review should be.

Step 5: Keep the final action human

Review the final draft yourself. If it affects another person, ask someone who
understands the context to review it too. You—not the AI—decide whether to send,
publish, purchase, sign, or act.

A real example: experience gave the project meaning

Psychologist Martin Seligman wrote that at age 83 he used AI tools to create
illustrated adventure stories for his young grandsons. The tools helped with
story production and images. His knowledge of the boys, his research on human
flourishing, and his desire to strengthen the relationship supplied the reason
the project mattered.

That is the pattern Next Great Work will look for: technology handling a task
while human experience determines its purpose and quality.

Four safety rules for every project

  1. Do not paste passwords, Social Security numbers, banking details, medical
    records, or other sensitive personal information into a general AI tool.
  2. Ask for sources and open them yourself before relying on important facts.
  3. Do not let an agent send money, sign agreements, or publish in your name
    without a separate approval step.
  4. When the subject is medical, legal, tax, or investment advice, use AI to
    prepare questions—not to replace a qualified professional.

Your first 20-minute session

Choose one small project. Complete the finish-line sentence. List five pieces of
experience only you can supply. Then give the starter instruction to an AI tool
and review only the outline.

That is enough for day one. The goal is not automation for its own sake. The
goal is to make your next useful contribution easier to begin.

Sources

Next Great Work uses supervised AI in research and drafting. Sources and
instructions are checked before publication. This article is educational and
is not medical, legal, tax, or investment advice.

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