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An AI agent evaluation plan template is a fixed set of sections that turns scattered agent testing into one signed decision about whether a workflow changes hands. Eight sections carry the whole...
Aug 19, 2026/ recent · long reads
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An AI agent use case library indexes candidate workflows by the work they contain, which is a different artifact from the ranked listicle the category keeps publishing. Every list in this category...
Aug 19, 2026
Nothing about a deployed chatbot upgrades into an agent, which is why the promotion usually arrives as a rebuild disguised as a rename. A chatbot is scoped to a conversation: it matches an incoming...
Aug 18, 2026/ selected notes
All dispatches →01 / Workflows
Orchestration architecture describes the control layer that routes specialized agents through complex business workflows. Unlike single-agent systems that execute predefined scripts, orchestration...
Aug 14, 2026
02 / Workflows
Handoffs are a discipline, not an accident. Specialized agents operate reliably in isolation, but handoffs fail in production when orchestration treats state ownership as implicit rather than...
Aug 3, 2026
03 / Workflows
Agentification maturity is not measured by agent count. Start with one high-value workflow, establish guardrails and governance early, and transition ownership to the function that runs it.
Jul 29, 2026
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Nothing about a deployed chatbot upgrades into an agent, which is why the promotion usually arrives as a rebuild disguised as a rename. A chatbot is scoped to a conversation: it matches an incoming...
Kurt Fischman · Aug 18, 2026
> An AI agent implementation playbook is the ordered sequence that moves an agent from a chosen use case to trusted, unsupervised production. Its seven stages (scope, score, design, build, evaluate,...
Kurt Fischman · Jun 22, 2026
> AI agent evaluation is the testing discipline that decides whether an agent can be trusted to own a business workflow. It runs on three surfaces: reliability (does the agent complete the job),...
Kurt Fischman · Jun 10, 2026
> Choosing the right AI agent use case means passing each candidate workflow through three gates in order: value (is the job worth owning), risk (can the business afford the worst day), and...
Kurt Fischman · Jun 10, 2026
> Designing an agentic workflow means specifying five stages in order: intake (the trigger and the inputs), reasoning (the decision and its limits), action (what the agent may write and where),...
Kurt Fischman · Jun 8, 2026
An AI Agent System is the productized operational layer that wraps one or more AI agents, the automation underneath them, the governance around them, and the integrations into a company's real...
Kurt Fischman · May 26, 2026
Work at machine speed with agents on the job.