I will build ai agents and agentic ai automation with claude and n8n

An automation follows a fixed path you drew. An agent decides the path at run time: it reads the input, picks which tool to call, and loops until the task is done. Agents are worth it for messy inputs and branching work. For fixed steps, a plain automation is cheaper and I will say so.

Whichever fits the job and budget. Claude for long reasoning, tool use and MCP; GPT or Gemini where they are stronger or cheaper; open-weight models on your own server when data cannot leave. I benchmark two options on your real inputs before committing.

Depends on volume and model. I give you a written estimate before the build: cost per run, then per month at your volume, plus hosting. Most single-task agents land in single or low double digit dollars a month. High volume jobs get a cheaper model on the easy steps.

Yes, with limits I build in. Agents start read-only, then get write access one tool at a time. Anything irreversible (sending, paying, deleting) sits behind a human approval step unless you ask otherwise. Every run is logged and there is a kill switch.

It retries, falls back, and escalates to a human with the full context rather than guessing. I set a confidence threshold with you and route anything under it to review. Run logs show exactly what the agent saw and why it chose what it chose.

Yes. Code, prompts, and configuration are yours, on your repo and your infrastructure. The handover doc covers architecture, environment variables, deploy steps and known limits, so another developer can take over without me.

Yes, that is still most of my work and it is often the right answer. If your task does not need an agent, I will build the straightforward automation instead and charge you less for it.