--- title: "What is agent strategy | Portfolio, not model pick | Len P. van der Hof" description: Agent strategy decides which jobs enter the agent portfolio, in what sequence, under what aggregate exposure, and with which exit rule. The single-worker charter, ceiling, and run log belong to operations. image: "https://lenvanderhof.com/media/generated/blog-hero-agent-strategy-v1.6cf0507bc172.wide.webp" --- [AI Systems](https://lenvanderhof.com/en/blog/category/ai-systems/) Research guide # What is agent strategy? Selection, sequence, exposure, exit A well-run agent can still be the wrong worker to deploy first. Len P. van der HofPublished 21 September 20262 min read One job circled. The rest of the tools stay locked. Direct answer Agent strategy, on this site, is the portfolio choice above any single worker: which jobs merit agents, which dependency must be proven first, how much aggregate send, spend, delete, or speak-as-the-company authority the portfolio may hold, and what evidence pauses or retires a worker. What is an AI agent owns the worker. Using AI agents effectively owns the single-worker charter, ceiling, and run log. Why multi-agent systems fail owns coordination. This page owns selection, sequence, aggregate exposure, and exit. ## Key takeaways - Selection, sequence, aggregate exposure, exit. Not a model name. - A clean single-worker runbook does not prove the portfolio is well chosen. - Refusal applies both to a worker's actions and to jobs that never enter the portfolio. - This page is the portfolio decision. The worker, operating, and coordination pages stay next door. A well-run agent can still be the wrong worker to deploy first. Agent strategy is the portfolio decision above the runbook: selection, sequence, aggregate exposure, and exit. [What is an AI agent?](https://lenvanderhof.com/en/blog/what-is-an-ai-agent/) owns the worker. [Using AI agents effectively](https://lenvanderhof.com/en/blog/using-ai-agents-effectively/) owns one worker’s charter, tools, ceiling, and log. This page owns which workers enter the portfolio and in what order. ## Four portfolio choices This is an editorial decision card, not a validated scoring instrument. 1. **Selection.** Which recurring jobs justify a stateful, tool-using worker, and which remain scripts or human judgment? 2. **Sequence.** Which dependency must work before the next worker is added? 3. **Aggregate exposure.** Across all workers, what can send, spend, delete, or speak as the company? Several small ceilings can still create one large exposure. 4. **Exit.** What evidence pauses, narrows, or retires a worker? Missing an exit rule, an experiment becomes permanent infrastructure. ## Collision control **Not a model pick.** Models change. Portfolio choices survive the swap. **Not a single-worker runbook.** The charter, tool allowlist, step ceiling, and trace stay on the operating page. **Not an orchestration graph.** [Why multi-agent systems fail](https://lenvanderhof.com/en/blog/why-multi-agent-systems-fail/) owns coordination after several workers exist. **Not SENSE restaged.** SENSE is the strategic-intelligence layer. This card decides which agent jobs enter the operating portfolio. ## What this page is not It is not a vendor shortlist, charter template, or runtime bake-off. [AI Agents for Startup Strategy](https://lenvanderhof.com/ai-agents-for-startup-strategy/) is live. Name the first job, its dependency, the portfolio exposure, and the exit rule. If the only filled field is a model name, you do not have an agent strategy. ## Terminology - [AI agent](https://lenvanderhof.com/glossary/ai-agent/) - [Override doctrine](https://lenvanderhof.com/glossary/override-doctrine/) ## Sources 1. [What is an AI agent?](https://lenvanderhof.com/en/blog/what-is-an-ai-agent/) 2. [Using AI agents effectively](https://lenvanderhof.com/en/blog/using-ai-agents-effectively/) 3. [Why multi-agent systems fail](https://lenvanderhof.com/en/blog/why-multi-agent-systems-fail/) 4. [Override doctrine](https://lenvanderhof.com/en/blog/override-doctrine/) 5. [AI Agents for Startup Strategy](https://lenvanderhof.com/ai-agents-for-startup-strategy/) ## Further reading - [Using AI agents effectively](https://lenvanderhof.com/en/blog/using-ai-agents-effectively/) - [What is an AI agent?](https://lenvanderhof.com/en/blog/what-is-an-ai-agent/) - [Override doctrine](https://lenvanderhof.com/en/blog/override-doctrine/) About the author ## [Len P. van der Hof](https://lenvanderhof.com/en/authors/len-p-van-der-hof/) Entrepreneur, AI Innovator and Venture Builder Len P. van der Hof builds practical AI systems, digital ventures and evidence-informed tools for founders. ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://lenvanderhof.com/#person", "name": "Len P. van der Hof", "alternateName": [ "Len van der Hof", "L.P. van der Hof", "Leendert Pieter van der Hof" ], "honorificSuffix": "MSc", "url": "https://lenvanderhof.com/", "image": [ "https://lenvanderhof.com/photos/len-portrait-1.jpg", 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