/ featured · this week
View all dispatches →
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
Browse long reads →
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
/ the feed · everything we've published
> AI agents and chatbots differ by what they produce: a chatbot produces conversation, answering questions inside a contained exchange, while an AI agent produces actions, completing multi-step work...
Kurt Fischman · Jun 10, 2026
> AI agent orchestration is the coordination layer that lets multiple specialized AI agents share work, context, and handoffs on jobs too big for one agent to own. An orchestrator routes tasks,...
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 agentic workflow is a complete business job, from trigger to finished outcome, that an AI agent owns by deciding each step instead of following a fixed branch. It differs from a single task,...
Kurt Fischman · Jun 8, 2026
> The SMB agentification roadmap is the staged path a founder-led business takes from one-off agent pilots to an operating model, defined by who owns the agents rather than how many days have passed....
Kurt Fischman · Jun 8, 2026
The business case for AI agents is the per-workflow analysis that decides whether an agent is worth building, measured as the manual-coordination cost a business stops paying minus the oversight.
Kurt Fischman · Jun 8, 2026
> Agentic AI is software that reasons over changing input and acts toward an outcome, while traditional automation runs a fixed rule and conventional software executes a fixed instruction. Agentic AI...
Kurt Fischman · Jun 8, 2026
> An AI agent for business is software that owns a defined workflow end to end: it reads what is happening, decides the next step, acts across the tools a company already runs, and works toward an...
Kurt Fischman · Jun 3, 2026
> An AI agent for CRM sync and admin relay is an AI Agent System that keeps a company's CRM record current and routes the next action to the right person or system, without anyone driving each update...
Kurt Fischman · Jun 2, 2026
> An AI agent for client onboarding is an AI Agent System that turns a signed client into a running engagement: collecting intake information, provisioning access, scheduling kickoff, and chasing...
Kurt Fischman · May 29, 2026
An AI agent for lead qualification and routing is an AI Agent System that scores each inbound lead against a qualification framework and assigns the qualified ones to the right owner automatically....
Kurt Fischman · May 28, 2026
An AI agent for inbound lead response is a productized inbound workflow inside an AI Agent System for founder-led businesses where inbound volume has outgrown the team. The agent owns the path from...
Kurt Fischman · May 27, 2026
> An AI Agent System is a productized operational layer that owns a workflow end-to-end. A chatbot is a conversational interface that handles one turn of dialogue at a time. The difference is...
Kurt Fischman · May 27, 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
An AI Agent System is the productized operational layer that wraps one or more AI agents, the governance that controls them, and the integrations that connect them to a company's real workflows....
Kurt Fischman · May 26, 2026
AI agents are discrete software entities that use large language models to plan, execute, and iterate on tasks autonomously, while agentic AI is the architectural paradigm describing any system...
Kurt Fischman · Apr 15, 2026
Answer Engine Optimization (AEO) engineers content for citation inside AI-generated answers, while Search Engine Optimization (SEO) engineers content for ranking inside traditional search results....
Kurt Fischman · Apr 15, 2026
AI Search Traffic is 4.4x More Valuable Than Organic
Kurt Fischman · Apr 13, 2026
Knowledge graph presence is the structured, machine-readable footprint a brand maintains across public knowledge graphs like Wikidata and Google's Knowledge Graph. Unlike traditional SEO,...
Kurt Fischman · Mar 26, 2026
An llms.txt file is a markdown document placed at a website's root directory that provides large language models with a structured summary of the site's most important content. Unlike robots.txt,...
Kurt Fischman · Mar 26, 2026
Work at machine speed with agents on the job.