2026-05-14 · 6 min read · GO Pilot GO Team
We get asked weekly: when should I use a workflow tool (Zapier, Make, n8n) and when should I use an agent (GO Pilot GO, Claude sub-agents, custom LangChain code)? Here is the decision tree we walk people through.
Step 1: Is the work fully specified? If you can write the steps as if-this-then-that, and the steps never change based on the input, use a workflow tool. Workflows are cheaper, easier to audit, and trivially deterministic. Do not pay for AI reasoning if you do not need it.
Step 2: Does the work require judgment, summarization, drafting, or classification? If yes, you need an agent. A workflow tool can call an LLM as a node, but the orchestration is still hand-wired. An agent makes the orchestration the model's job.
Step 3: Does the work need persistent memory across runs? Workflows are stateless by default. Agents on GO Pilot GO have per-agent memory and attached markdown knowledge files. If "the agent should remember the customer's tone from last time," you need an agent.
Step 4: Does another agent need to call it? If yes, you need MCP exposure. GO Pilot GO ships every agent as an MCP tool by default. Workflow tools generally do not.
Step 5: Is cost predictability critical? Workflows price per operation, which is great for small volumes and surprising at scale. Agents on GO Pilot GO price per token, voice second, and browser second with a workspace daily cost ceiling. Pick the model that matches how you reason about cost.
In practice, most operators end up with both. A workflow handles the deterministic plumbing (move a row from form to CRM). An agent handles the judgment (decide which CRM stage, draft the first-touch email, summarize the lead). The two coexist, and the agent often calls the workflow as a tool over webhook.