Auto GeniusAI WORKING SEMINAR
THE ROOM, IN FOCUS · SEPTEMBER 21, 2026

Better insight.
A useful next step.

The strongest asks are to connect marketing data and make sense of performance across sources. The hour turns that work into a local app, with a clear path for people building for the first time.

10responses receivedLatest survey snapshot
10/10

already use AI for analysis

7/10

want insight across sources

7/10

want to connect marketing data

4/10

report no listed building experience

10 RESPONDENTS · MULTIPLE SELECTIONS

What you want to leave able to do.

Participants could select up to two outcomes.

  1. Spot issues and opportunities across sources7 / 10
    7 of 10
  2. Connect marketing data for an audit7 / 10
    7 of 10
  3. Get better results with structured prompting2 / 10
    2 of 10
  4. Start building a simple app with AI2 / 10
    2 of 10
  5. Discover requirements and ask better questions1 / 10
    1 of 10
  6. Turn an idea into an app or tool plan1 / 10
    1 of 10
10 RESPONDENTS · MULTIPLE SELECTIONS

How you prompt today.

Context and follow-ups are familiar. Interviewing and reviewing a staged plan have room to grow.

  1. Provide context, examples or output format8 / 10
    8 of 10
  2. Ask a question or give one instruction8 / 10
    8 of 10
  3. Refine through follow-up prompts8 / 10
    8 of 10
  4. Ask AI to interview or clarify first4 / 10
    4 of 10
  5. Break work into steps and review each3 / 10
    3 of 10
10 RESPONDENTS · MULTIPLE SELECTIONS

Experience spans the room.

Self-reported activities, not an assigned skill score. One person can select several types of experience.

  1. None of these yet4 / 10
    4 of 10
  2. Connected a tool to data or an API4 / 10
    4 of 10
  3. Created an AI prototype or simple app3 / 10
    3 of 10
  4. Used no-code forms, dashboards or automation2 / 10
    2 of 10
  5. Launched something others use2 / 10
    2 of 10
FROM SURVEY TO SESSION · OUR INTERPRETATION

A progressive hour, built around these answers.

00–10 MIN

Prompt → questions

Improve the request, then let AI interview you. 4 of 10 have tried asking AI to clarify first.

10–30 MIN

Project → evidence

Save your goal and plan. Work through GA4 and Google Ads exports to develop a supported finding and a build brief.

30–55 MIN

Build → verify → refresh

Generate your own branded app. Check the numbers and update it with another local upload. Stretch challenges stay optional.

The final five minutes: share what worked, choose the next use, and explore optional connections. Everyone follows the same reporting definitions; each question and app can be different.

See how the group uses AI and reviews performance Two more survey views +
10 RESPONDENTS · MULTIPLE SELECTIONS

AI is already part of the work.

10 of 10 selected analysis, 9 selected writing, and 9 selected brainstorming.

  1. Analyze spreadsheets, reports or results10 / 10
    10 of 10
  2. Brainstorm campaigns or research audiences9 / 10
    9 of 10
  3. Write emails, ads or social posts9 / 10
    9 of 10
  4. Create repeatable workflows or assistants5 / 10
    5 of 10
  5. Building tools or apps4 / 10
    4 of 10
10 RESPONDENTS · MULTIPLE SELECTIONS

How performance gets reviewed.

Uploaded reports are a familiar starting point. Direct AI connections are less common in this group.

  1. Use AI to interpret uploaded reports7 / 10
    7 of 10
  2. Review individual-platform reports6 / 10
    6 of 10
  3. Manually combine or compare sources6 / 10
    6 of 10
  4. Use dashboards combining sources3 / 10
    3 of 10
  5. Connect AI directly to data sources2 / 10
    2 of 10
  6. Do not work directly with this data1 / 10
    1 of 10

About this snapshot

Based on 10 submitted responses in Auto Genius | AI Workshop 4.csv, covering September 18–21, 2026. Every question has 10 answers. Counts show respondents selecting each option; selections can overlap and do not add up to 10. Chart labels are shortened for readability. This describes the respondents so far, not a skill assessment of every attendee.

The charts report survey selections. The teaching recommendations are our interpretation of those selections.

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