AI Agent Evaluations: Test Business Outcomes Before You Ship
Verify AI agents through business outcomes, independent evidence and clear release criteria. Includes UML, BPMN and an optional tested Python download.
Verify AI agents through business outcomes, independent evidence and clear release criteria. Includes UML, BPMN and an optional tested Python download.
Learn MCP step by step: host, client and server, tools, resources and prompts, with a tested Python server and clear security boundaries.
A valid token is only the beginning. Enforce delegated authority, exact approvals and current business policy before an AI agent changes enterprise state.
Find a recurring customer problem, sell a bounded pilot and test the economics on both sides before scaling an AI-supported service.
Business Engineering connects strategy, organization and systems. A versioned business manual makes that design practical for an AI-supported solo business.
Before humanity creates its own god, it may create its own guardian angels. How supportive AI agents could expand independent work—and how business processes keep the human in charge.
Test an AI payment authorization boundary in Java: tenant-scoped Spring AI tools, immutable approvals, fee caps and unsigned xrpl4j transactions.
Researched October 7, 2026. A business and architecture perspective for founders who use agents across delivery, sales, support and administration. The numerical scenarios are illustrative; they are not Homann Software operating results or provider quotations. The demo ends when the agent produces a pull request. Your business day does not. Read more
Why Europe should judge AI-assisted publishing by evidence and accountability—and demand a convincing case for mandatory origin marking. A founder’s opinion, informed by sources checked on October 6, 2026. If an article is accurate, well researched and useful, why should its AI origin count against it? That is the question Read more
A solo founder can delegate substantial work to AI agents today. Here is how I would build a company around bounded jobs, overnight execution and evidence.