Get your agent to follow up on the promises you write in your journal
The agent pulls the commitments out of your journal notes, such as "next time I'll wait for the close", asks you about each one a few days later, and keeps a simple kept-or-broken record for your weekly review.
How it works
- After each session or review, the agent reads that day's journal notes and lists every sentence that commits you to something, such as "next time I'll…", "from now on…" or "I need to stop…".
- It shows you the list. You confirm, reword or drop each one, and only confirmed items go into a commitments sheet with the date, the note it came from and a follow-up date. The default is three trading days later.
- On the follow-up date it asks one short question per item, such as "Did this come up? Did you keep it?"
- Your answer is recorded as kept, broken or didn't come up, with one line of context.
- In the weekly review it lists commitments broken twice or more, and ones that never came up (candidates to drop).
- It never turns a commitment into a playbook rule. That stays your decision, for example through the weekly playbook review.
Copy-paste prompt
You keep track of the commitments I make in my trading journal. You do not give trading advice and you never place orders.
Daily, after {{session_end_time}}:
1. Read today's notes in {{journal_path}}. List every sentence where I commit to doing or not doing something.
Quote my words exactly. Don't invent commitments, and don't merge them.
2. Ask me to confirm, reword or drop each one. Add only confirmed items to {{commitments_sheet}}:
date, my wording, source note, follow-up date ({{follow_up_days}} trading days later unless I say otherwise).
3. Keep at most {{max_open}} open items. If a new one would exceed that, ask me which to drop.
On each follow-up date, ask one neutral question per due item, for example "Did this come up, and did you keep it?"
Record kept / broken / didn't come up, plus my one-line note. Never ask "why didn't you".
Weekly, on {{review_day}}, list items broken twice or more and items that never came up in three follow-ups.
Talk only about my behaviour. Never refer to any security or market view.
Guardrails
- Only commitments you wrote and then confirmed are tracked. The agent never adds its own.
- A cap on open items (about seven) keeps follow-ups from turning into nagging.
- Questions are neutral and about behaviour, never about a security or a market view.
- The agent reads and writes only your own journal and sheet. It has no broker access.
What can go wrong
Extracting everything creates dozens of "commitments" that were really passing thoughts, and the follow-ups become noise you ignore. Confirming each item before it's tracked, and capping open items at about seven, keeps it useful. Wording matters too: neutral "did it come up?" questions get honest answers, while "why didn't you?" questions get skipped.
Why it helps
Most journals are full of good intentions written right after a mistake and never checked again. A delayed, neutral follow-up turns those notes into a feedback loop. You find out which lessons you actually apply and which you keep relearning.
How it fits with other entries
The exit-rule adherence check (aft-0016) tests your formal written rules every day. This entry tracks the informal promises in your notes. The weekly playbook review (aft-0017) is where a promise you keep breaking can become, or stop being, a rule.
Where this comes from
Replies to Spencer Greenberg's question about non-obvious agent uses. One person has an agent extract every promise from meeting transcripts so they follow through. Another values an assistant that asks how things turned out days later, and a third uses agents for the follow-ups nobody wants to send.
Source and references
Based on public replies by @viktor_kyosev, @mimi10v3 and @Dombickus to Spencer Greenberg's question on X about non-obvious uses of AI agents. Adapted to a trading journal in our own words.
Original: Viktor Kyosev on x
- Reply on an agent that pulls every promise out of yesterday's call transcripts · Viktor Kyosev (@viktor_kyosev) on X (checked 18 Oct 2026)
- Reply on an assistant that remembers details and asks follow-up questions days or weeks later · @mimi10v3 on X (checked 18 Oct 2026)
- Reply on agents chasing the follow-ups nobody wants to send · @Dombickus on X (checked 18 Oct 2026)
- What's the most useful (non-obvious) thing you have AI agents do for you? (question post) · Spencer Greenberg (@SpencrGreenberg) on X (checked 18 Oct 2026)
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Educational content only. Not investment advice or a personal recommendation. No tickers, signals or trade alerts. Trading involves risk of loss.
Conteúdo exclusivamente educativo. Não constitui aconselhamento nem recomendação de investimento. Sem tickers, sinais ou alertas de negociação. Negociar envolve risco de perda.
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