Automating Without Overwhelming Yourself
UMSI AI Clinic Bootcamp · Sunday, September 27 · 1:45–4:30 pm · LCSIB 2290

Automating Without Overwhelming Yourself

Most automation projects fail by trying to do too much. Today: find the smallest useful step of a workflow that is worth automating, have AI build it, run it on test data, and keep the judgment calls manual.

Open this on your laptop or phone

tinalasisi.github.io/automating-without-overwhelming-yourself

Everything from today: the slides, the IDEA walkthrough, the demo prompts and the practice data.

  1. 1

    Should you automate it?

    I talk: xkcd, return on investment, hidden costs
    1:45–2:00
    • “Is It Worth the Time?” The original xkcd, and the math behind it
    • Try it with a task of your own
    • Return on investment, and the hidden costs: maintenance and over-engineering
    • The value of manual processes
    • Solving the wrong problem
    • Today's thesis: the smallest useful unit
    Open section 1 ↗opens in a new tab
  2. 2

    Your projects through IDEA

    Interactive: every team, its own client project
    2:00–2:30
    • Your eleven projects come in three shapes: intake → triage, pile → catalog, many sheets → one table
    • The IDEA framework: Identify, Document, Experiment, Adjust
    • Walk your project through IDEA, one step at a time
    • Leave with your smallest useful unit named in one sentence
  3. 3

    Tools of the trade

    Chat assistants, Google Apps Script, Claude Code and Codex
    2:30–2:45
    • Match the tool to the task
    • What your agent can touch: read, draft, send, delete
    • It asks before it acts, and it follows house rules you write down
    • What leaves your laptop, and why today is all dummy data
    • Which tool fits your project?
  4. 4

    Three live demos

    One per project shape, live in Claude Code
    2:45–3:05
    • Intake → triage: every application gets a status
    • Pile → catalog: versions, duplicates and personal information flagged
    • Many sheets → one table: a join, not AI
  5. Break3:05–3:20
  6. 5

    Build your smallest useful unit

    Hands-on, in teams, on dummy data
    3:20–4:05
    • Pick the sandbox file that looks like your client's work
    • Build the form, fill it with dummies
    • Have AI write the script. Read its explanation. Then run it.
    • When it hits a planted problem: a rule, or manual review?
  7. 6

    Share-out and close

    What did it hit? What stays manual?
    4:05–4:30
    • Three or four teams: what did you automate, what did it hit, what stays manual?
    • Keep it alive, and make it findable
    • Before you automate the answer, check it's the right problem
    • 4:30: Charles Kemp, “Discovering the Problem Behind the Problem”

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