A notebook on AI, automation, finance & learning
Practical, tested, no hype. Real examples, explained step by step, so you can try them yourself.
When we type a request, we often cut it short. Said out loud, the same request tends to carry what the AI would otherwise guess. A fictional email to a landlord shows the five details worth saying, when the keyboard still wins, and why you read it back before you send.
Read the note →
MRR and ARR, churn, runway, pipeline, roadmap and LTV. What each word counts, one fictional team's numbers worked through, and what each number doesn't tell you.
A skill saves the steps and templates for one repeated job. We tested one with a fictional freelancer's monthly pack for their accountant, and a person still checks the result.
See how Token Weather displays context use and how a custom panel can put your tasks beside the chat.
Give every agent a clear role, let a main agent coordinate the work, keep irreversible decisions with you, and bring in the whole team only when the task is worth the extra tokens.
Choose a model that can do the job, tune its thinking effort, and compare the cost of the completed task. A lower token price is only part of the bill.
Keep the rules, the unfinished work and the reasons behind your decisions in your project folder. Then start a new AI chat with a clear place to pick up.
Who's behind the corner
He works where finance, processes and technology meet: financial foundations for growing companies, an ERP connected to the business, and AI with human judgement. The rigour comes from seven years in a family office.
The Thinking Corner is where he tests things in the open and writes down what works.
psst Short reels on Instagram, longer notes here.