Satu contoh prompt per tool. Tempelkan salah satunya ke sesi agen baru untuk melihat apa yang bisa dilakukan tool tersebut.
Six prompt patterns that turn vague questions into tight answers.
Jawaban jujurnya bukan sebuah produk. Jawabannya sebuah stack: pilih agen yang sudah Anda pakai, beri dia akses baca ke bank Anda, lalu ajukan pertanyaan soal uang dalam bahasa sehari-hari.
The most common error in agent-generated spending summaries is counting both the card swipes and the checking payment that covers them. One sentence of prompt fixes it.
Bank data labels a rent payment to your landlord the same way it labels moving money to savings: a transfer. Here's how to teach your agent which transfers count as real spending.
Merchant terus-menerus mengganti nama descriptor tagihan, jadi satu langganan bisa muncul sebagai dua atau tiga merchant berbeda dalam riwayat transaksi Anda. Ini resep tiga-sinyal untuk menangkap penggantian nama dengan agen.
Listrik naik dua kali lipat di musim panas, gas tiga kali lipat di musim dingin. Berikut pola prompt 12 bulan yang menjaga agen Anda dari menahunkan kebohongan.
All 29 AI apps that can connect to a remote MCP server in 2026, in one list: auth method, config file, and a setup guide for each. Nobody else maintains this well, so we do.
Track monthly rent, confirm it posted, spot unexpected fees. Two prompts to start.
Monthly grocery spend, across every store, split between in-person and delivery.
Every recurring charge, ranked by cost. Find the ones you forgot about.
Income minus expenses, top income sources, top expense categories, net number.
What percent of your take-home pay is staying in accounts instead of being spent.
Overdrafts, ATM fees, interest charges, foreign transaction fees, monthly maintenance.
Direct deposits from employers, pay cadence, YTD gross, any unexpected changes.
For LLC owners and freelancers: estimated tax math, when to send, how much.
What percent of your portfolio is in each position, sector, or asset class.
Dividend income received, which positions pay, YTD dividend yield.
Monthly fuel spend, across every gas station, to track commuting costs.
Every Amazon charge, across Prime, Whole Foods, digital purchases, AWS.
The classic latte-math question, now answered with real data.
Dining-out spend, split from groceries, across in-person and delivery.
Rideshare spending, across Uber + Lyft + taxis, monthly trend.