AIYING · V2.0 · GENERATIVE VIEW
The Workshop Ends. What Could Your First Attempt Begin?
By Ravindra Dastikop
You try something after an AI workshop.
The result is partly useful. It also misses something important.
Perhaps an action list assigns a deadline nobody agreed to. Perhaps a draft sounds polished but overlooks the customer’s actual concern.
You correct the output. But there is another possibility inside that moment:
Could the difficulty you encountered help shape what you—and others—learn next?
Our V1.0 post asked: The workshop ends. Can you begin?
V2.0 asks what your beginning could set in motion.
The assumption underneath the workshop
A familiar workshop arrangement gives the trainer responsibility for deciding what participants need to learn. Participants practise, then apply the lesson afterward.
Yet their actual work may reveal questions the prepared exercises never raised.
The workshop ends just as those questions begin to appear.
This brings us to our guiding question:
Where could a situation acquire the capacity to generate its own next possibilities?
Here, the opening may be the participant’s first independent attempt.
PO: The participants’ attempts write the next workshop
Taken literally, this is an intermediate impossibility. Attempts cannot design a session by themselves.
But we can move from the provocation: let what happens during application influence what happens next in learning.
Suppose every participant brings back one small account:
“This is what I tried. This is what happened. This is what I could not resolve.”
Those accounts could reveal the next useful exercise, a missing explanation or an opportunity for participants to help each other.
The trainer still exercises judgment. Participants protect confidential information. Nobody treats an AI-generated answer as proof of success.
What changes is the source of the next learning question.
Follow one attempt
Consider a fictional participant, Meera, who uses AI to turn meeting notes into an action list.
The output looks complete. On inspection, she discovers that it presents a suggested deadline as an agreed commitment.
She records the difficulty:
“The tool did not preserve the difference between a proposal and a decision.”
That observation suggests a new experiment: ask the tool to separate confirmed decisions, suggestions and unresolved questions, then check each against the notes.
Meera shares a short, anonymized example. Another participant recognizes the same problem in project handover notes.
Now one attempt has opened several possibilities:
- A better prompt for distinguishing decisions from suggestions.
- A checking exercise using deliberately ambiguous notes.
- A discussion about who can confirm an unresolved commitment.
- A reusable meeting-note format that records agreement more clearly.
These are possibilities to test. Their usefulness depends on what happens when people try them.
The first task has become a source of further learning.
Give AI a specific role in the conversation
AI can help examine an attempt and suggest a manageable next experiment.
Try this prompt:
REUSABLE PROMPT
Help me reflect on an attempt after a workshop.
My task: [describe it].
What happened: [describe the result].
What I checked: [explain your checks].
What remains unresolved: [state the difficulty].
Distinguish my observations from your interpretations. Suggest three possible next steps, then help me choose one small experiment. State what result would count as progress. Do not assume I have succeeded.
The participant supplies the experience. AI offers interpretations and options. The participant decides what to test and checks the outcome.
Make one attempt useful beyond itself
After your next attempt, write a brief learning note:
I tried…
I observed…
I checked…
My next question is…
Keep the observation concrete. “AI was inaccurate” leaves many directions open. “It converted an unconfirmed suggestion into an assigned task” gives the next experiment a clear focus.
An observable accomplishment could be modest: you can now distinguish confirmed actions from unresolved suggestions in one real set of notes, and explain how you checked them.
That is enough to contribute something useful to the conversation.
This post also needs an opening
PO: Each post is a conversation.
PO: A post is the smallest dialogue.
Here is the possibility this post offers: a workshop can keep developing through the attempts it helps people make.
Your experience can test that proposition.
What is one difficulty you encountered when applying something you learned—and what next exercise would have helped you address it?
Share the task, the difficulty and your proposed next exercise in a comment. A specific response could become the starting situation for a future post.
The workshop gives you a first attempt. Your attempt can give the workshop its next question.
