AI Learning Log: From Tool Collaboration to Independent Ability

Record one inspectable learning slice at a time. An AI-generated summary, score, or explanation is not a source of truth; original material, your first version, actual work, and real feedback are evidence. Do not write “what I discussed with the model”. Write “what I can still complete independently after the tool leaves”.

1. Task and Starting Point

# AI Learning Log - YYYY-MM-DD

Real situation and audience:
Main question:
Action and acceptance standard:
Material, version, and source:
Time, device, and environment limits:
Permitted dictionary / translation / search / AI / human help:
Privacy, copyright, exam, and ownership boundary:

2. Unaided Baseline

Start/end time of independent attempt:
Unaided sample location:
What I could explain or complete:
Errors, unknowns, and judgment blind spots exposed:
Confidence (0-2):

Do not ask AI to write an answer first and call that the starting point. If the task permits a dictionary or documentation, record the permitted support; the baseline states what you can do independently under those conditions.

3. Agree What AI Does

Model / version / date:
Mode: diagnosis / follow-up / explanation / counterexample / transcript / candidate / other
AI may:
AI may not:
Minimum material sent:
Fields or files withheld:

Move one slice per round. Ask the model to identify gaps, assumptions, sources, and uncertainty before requesting any rewrite or candidate.

4. Interaction and Source Verification

Turn	My question/action	Model suggestion	Type	Source/uncertainty	My decision
			explanation / question / candidate / feedback / code / other		accept / partly / reject / verify

Primary sources I checked:
Errors, outdated claims, or invented material I found:
Suggestions that changed my understanding and why:
Suggestions that changed only surface wording:

People confirm sources, facts, permissions, privacy, and final judgment. Model confidence does not raise the evidence level.

5. Active Production After Closing AI

Time AI was closed:
Work, explanation, code, or decision completed independently:
Independent time:
Cues still required:
Can I explain every critical step? yes / partly / no
Test, reader/user feedback, or run result:

6. Three Comparisons

Sample	Conditions	Task/quality	Time	Rework	Confidence	Evidence location
Unaided baseline
AI-assisted version
Delayed independent (3-7 days)
Parallel task (changed condition)

Result	Cautious interpretation
Assisted and independent versions improve	A removable scaffold may be forming; test more transfer
Only assisted version improves	Product improved; critical steps may be outsourced
Time falls while rework rises	Speed created speed debt
Confidence rises while facts/tests fall	Calibrate judgment before increasing tool access

One comparison cannot prove causality, but it records contribution more clearly than “AI was useful”.

7. Errors, Feedback, and Transfer

Error/gap	Sample	Type	Change only this next	Parallel-task result
		fact / vocabulary / structure / grammar / strategy / attention / tool dependence

Real reader/user retelling or execution result:
Feedback accepted, partly accepted, rejected, or deferred and why:
Action that survived a changed topic/audience/mode/time:
Action that still succeeds only on the original task:

8. Delayed Retention and Handover

Day 1: what I removed and completed independently:
Days 3-7: what changed and what happened:
Day 14: can I explain and use it after closing the old chat:
Day 30: did the real task require less guessing or rework:
State-file location:
Handover owner, date, and access:
Stop or rollback condition:

9. Next Cycle Decision

What the tool genuinely helped:
Risk or dependence the tool created:
Evidence of ability I now own:
Conclusion still unsupported:
Continue / downgrade / change variable / pause / seek help:
Smallest next task:
Next review date:

Related entry points: Learning Principles: Turn Effort into Verifiable Learning | Learning Anything with AI | AI Task Brief | Learning State | Evidence Chain