Observe01
Read
AI can inspect information, spot patterns, and summarize context.
No changes. No sends.
The AI Surfer OS · Connect Day
Build the trust-and-approval ladder.
Connect one real workflow to one real app—without giving away more control than the work has earned.
Choose the workflow.
Choose the app.
Define the approval boundary.
Test the smallest useful version.
01 · The frame
Four levels. One deliberate climb.
Prepare02
Draft
AI can create a proposed output for a human to review.
Nothing leaves the workspace.
Gate03
Approve
A named human checks the work at a visible decision point.
The boundary is explicit.
Execute04
Act
AI takes the agreed action inside a narrow, tested scope.
Logged. Reversible. Earned.
02 · The boundary
Permission is not a binary.
Define exactly what the AI may see, what it may prepare, who decides, and what—if anything—it may do.
The useful question
Where must a human still say yes?
Place the gate before any external message, irreversible edit, financial commitment, or sensitive-data movement.
03 · The operating principle
Trust is earned through successful repetitions.
Start narrow
One workflow, one app, one bounded outcome.
Review the evidence
Check quality, exceptions, and whether the gate worked.
Expand by one step
Increase autonomy only after the last level is reliable.
Small scope × clear approval × repeated success = earned trust
04 · Today
90 minutes from idea to safe first test.
00–10Frame the ladderRead → Draft → Approve → Act
10–25Choose the workWorkflow, app, and useful outcome
25–40Set the boundaryPermissions, approval, and stop conditions
40–70Build & testSmallest useful version with sample data
70–85Review & refineEvidence, edge cases, and next repetition
85–90CommitOwner, next test, and review date
05 · Live workshop
Work in the open. Decide out loud.
Interview
Find repetitive work and the app where it lives.
Map
Mark inputs, outputs, people, and risk.
Gate
Name the approver and exact decision.
Test
Use sample or reversible data first.
Debrief
Record evidence and choose the next rung.
Say before you click
“I expect this to happen. I will stop if this other thing happens.”
Capture after each run
Input, output, approval decision, exception, and one improvement.
06 · Worked example
A shared Google Drive, one rung at a time.
Shared folderClient
briefsOwner: Marketing Ops · Review: Fridays
briefsOwner: Marketing Ops · Review: Fridays
01
Read three sample briefs in a dedicated test folder.
02
Draft a summary and missing-information checklist in a new document.
03
Approve with the brief owner before sharing or moving anything.
04
Act only after repeated success: save the approved summary to a named subfolder.
STOP
Do not delete, overwrite, change permissions, or contact the client.
07 · Working prompts
Three prompts. One safe path.
Replace bracketed text with your context.
1. Choose workflow + app
Interview me to identify one repetitive, high-friction workflow that could benefit from AI and the single app where that work lives. Ask one question at a time. Compare candidates by frequency, usefulness, data sensitivity, reversibility, and cost of error. Then recommend the smallest, lowest-risk workflow to test first. Do not design the automation yet.
2. Plan trust + approval
For this workflow: [describe workflow], create a trust-and-approval plan using Read, Draft, Approve, and Act. For each level, define allowed inputs, allowed outputs, the human owner, the approval point, evidence to capture, and stop conditions. Keep permissions least-privileged. Flag external sends, irreversible edits, sensitive data, or financial actions. Recommend the level for our first test and explain why.
3. Design the first test
Design the smallest useful first test for [workflow] in [app]. Use sample, duplicated, or reversible data. Specify the exact input, expected output, approval checkpoint, pass criteria, stop conditions, cleanup or rollback, and what to log. The test must not send externally, overwrite source data, alter permissions, spend money, or expose sensitive information without explicit human approval.
08 · Before you act
Make the boundary observable.
Ready when
The test is bounded
The source is safe, the expected output is named, the approver is present, and rollback is obvious.
Stop when
Reality leaves the plan
Unexpected data appears, scope expands, a permission is unclear, or the output cannot be confidently reviewed.
Record
The evidence
What happened, what required correction, who approved it, and whether the outcome was genuinely useful.
Repeat
The same narrow test
Reliability comes from consistent results across real variations—not from one polished run.
09 · The end challenge
Earn the next rung. Don’t skip it.
Complete three reviewed repetitions.
Run your smallest useful version three times. Capture the evidence. Then bring one recommendation: stay at the current level, tighten the boundary, or advance exactly one rung.
3×before expanding scope
One workflow. One app. One clear approval boundary. One useful test.