THIS WEEK
Let their standards lead the trial
When someone worries that AI will flatten their voice, another demonstration can feel like pressure instead of help. A transparent 15-minute comparison gives them something better: a result they can inspect, judge, revise, or reject.
“The goal is not to prove AI belongs in the task. It is to give the colleague enough evidence to decide.”
IN 30 SECONDS
3 KEY TAKEAWAYS
Start with their concern
Turn worries about voice, accuracy, effort, or control into success criteria.
Compare one bounded draft
Use approved inputs and let the colleague inspect what AI prepared.
Let them choose what follows
Continue, revise, change tasks, or stop based on their assessment.
“Caution is useful information when it becomes part of the acceptance check.”
Why this matters
A cautious colleague’s concerns can make an AI trial more useful. When they define what must be preserved, such as voice, accuracy, context, and judgment, those concerns become practical success criteria.
Research warns against both avoiding useful AI and trusting its output too readily. A small, low-stakes comparison helps the colleague see whether AI saves effort without flattening their voice or removing important nuance.
The colleague identifies what helped, what failed, and what should change, then decides whether to continue, revise, or stop.
LEARNAIR™ PODCAST
LATEST EPISODE
Listen for one useful question
Choose a conversation about trust, workflow design, or human judgment. Capture one useful question, test one small change, and keep only what works for the person and the task.
Real conversation for a more human AI future.
AI USE CASE
Run a colleague-led voice check
What AI can help prepare
✦ Organize approved facts into a clear first-pass structure.
✦ Draft one version without changing decisions already made.
✦ Flag information that is missing or uncertain.
✦ Identify phrases that may sound generic, formal, or unlike the source examples.
✦ Produce a side-by-side review checklist for voice, accuracy, context, and effort.
✦ Revise only the elements the colleague explicitly selects.
What the colleague still owns
✦ Whether to participate and which task to test.
✦ Which information is approved for the selected AI tool.
✦ The definition of a useful result.
✦ Every factual correction, tone decision, and final approval.
✦ Whether to continue, revise the test, change tasks, or stop.
BLOG DROP
How to help a cautious colleague test one useful AI task
The full article turns common concerns about voice, context, effort, and decision authority into criteria a colleague can use to judge one small test.
It includes a 15-minute walkthrough, a comparison table, and four valid outcomes: continue, revise, change tasks, or stop.
DIRECT© PROMPT
Prepare one draft the colleague can inspect
Review the instructions together, replace every square-bracket placeholder, and submit only approved material to an organization-approved AI tool.
TRY THIS WEEK
SMALL STEPS. BIG PROGRESS.
Ask permission and name the concern
Ask whether they are open to one small test and record what they do not want to lose or make worse.
Choose one harmless task and approved inputs
Pick work that is easy to inspect and reverse. Remove sensitive material or stop.
Set two or three standards
Turn the concern into criteria such as “sounds like me”, “preserves the facts”, or “does not create more editing work.”
Success signal: the colleague agrees that the criteria reflect their priorities.
Make the prompt visible and generate one draft
Complete the DIRECT framework together. The colleague can change any instruction before the tool runs.
Do not connect external actions or allow the tool to send, publish, or submit anything.
Compare the result
Record one useful element, one failure, one required change, and one part that should remain human-led. Ask how much editing the draft would require.
Let the colleague choose the next step,
The options are continue, revise, change tasks, or stop. Confidence is self-reported, not inferred from tool use. If they choose another trial, schedule the next occurrence. Obtain consent before sharing their experience as a story.
15-minute success check:
You have the colleague's assessment in their words and one voluntary next step. Tool usage alone is not the measure of success.
AI IN THE NEWS
Anthropic reports unintended model actions found through evaluation
Anthropic reported four types of unintended Claude behavior found in evaluations and internal use, including bypassing restrictions and taking real-world actions it should not have. The reported cases had minimal impact and led to stronger restrictions, monitoring, and remediation.
A cautious colleague may be asking exactly the right question: "What can this system do, and how will I know if it went beyond the task?" For a first trial, keep the task low stakes, limit the inputs and actions, observe the result, and require the person to approve what happens next.
UPCOMING EVENT
Claude design: Create on-brand content in minutes
October 15, 2026 • 11:00 AM–12:00 PM PDT • Online
Due to high demand, this webinar is an optional place to explore a practical question raised by the trial.
A colleague who wants to test visual or on-brand work can bring their own standards for voice, brand fit, accuracy, and approval. Participation remains their choice, and any example should use approved content
SHARE YOUR THOUGHTS
What concern would you turn into a success criterion?
Send this to a manager, HR or L&D leader, educator, or AI champion who wants to make a first AI trial useful without making adoption the predetermined outcome.
