Methods drawn from real work.
Customer follow-up, business context and AI workflows. Practical methods, actual mistakes and the decisions that stay with people.
How Business Experience Becomes a Reusable AI Workflow
How judgments, examples and boundaries become usable working methods—the thinking behind our products, samples and guides.
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6 articlesFollowing Up with Sixty Customers: Notes from an AI-Assisted Export Sales Workflow
How can customer records, email history, draft replies and next actions work together? A firsthand account of one export sales workflow, including daily routines, actual failures and decisions that stay with the business owner.
From Inbox to Drafts: An AI Email Workflow with Human Review
A practical account of searching email history, preparing drafts, standardizing signatures and keeping control of sending. Includes setup requirements, synchronization problems and an eight-step review process.
Twenty Days on a Business Trip with AI: Expenses, Meetings and Customer Follow-Up
A firsthand export-sales trip review: turning receipts into an expense report, preparing a customer meeting, assembling a presentation and connecting follow-up records. Also covers relationship decisions that remained with the author.
Choosing AI Tools: Count Review and Rework Alongside the Subscription
A customer-folder cleanup exposed broken numbering, misplaced files and missing reference updates. This firsthand case shows how to compare tool costs using actual outputs, review time and rework rather than subscription price alone.
How Business Experience Becomes a Reusable AI Workflow
A one-line price inquiry reveals the judgments and boundaries behind practical experience. This article explains how rules, examples and business context can become usable methods—and why feedback and failure records still matter.
The Broadlatus AI Method: Explore, Integrate, Define and Verify
The four principles behind Broadlatus AI: explore broadly, integrate thoughtfully, define the outcome and verify in practice. A practical way to connect evidence, business context, useful outputs and human responsibility.
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