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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/ recent · long reads
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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
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/ selected notes
All dispatches →01 / AI Agents
An AI agent maturity model for a business team is a staged framework that ranks how much work a business can safely hand to agents, and where along that path it currently sits. Most models split the...
Jul 27, 2026
02 / AI Agents
Agent readiness is the business case for AI agents restated as a production question: can you afford the oversight, not can you afford the license. Most guides answer a different question. They walk...
Jul 27, 2026
03 / Workflows
Five words get sold as five products. They are one dial with a price on each notch, and the notch you can afford to buy is rarely the notch you can afford to supervise.
Jul 25, 2026
/ the feed · everything we've published
> 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
Large language models disproportionately cite market incumbents because their training data, entity graphs, and retrieval pipelines are saturated with incumbent content. This structural advantage...
Kurt Fischman · Mar 24, 2026
ChatGPT does not rank pages. It retrieves, evaluates, and cites sources through a multi-stage pipeline that bears almost no resemblance to Google's link graph. This article documents the retrieval...
Kurt Fischman · Mar 24, 2026
Perplexity is not a search engine. It is a citation machine powered by a retrieval-augmented generation pipeline that selects, ranks, and attributes web sources in real time. Optimizing for...
Kurt Fischman · Mar 24, 2026
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