# Struere vs n8n and Workflow Automation

> How Struere differs from workflow automation tools like n8n, Zapier, and Make

Struere builds AI agents that reason about user requests and decide which tools to call at runtime. n8n, Zapier, and Make build deterministic workflows where every step is pre-defined in a fixed sequence. Struere agents use LLMs to interpret intent, select tools, and handle edge cases. Workflow tools execute the same path every time a trigger fires.

## Feature Comparison

| Feature | Struere | n8n / Zapier / Make |
|---------|---------|---------------------|
| **Execution model** | LLM-driven: agent reasons and selects tools per request (max 10 iterations) | Deterministic: fixed sequence of steps triggered by events |
| **Decision making** | LLM chooses actions based on user intent, context, and available tools | Pre-defined branching with if/else conditions |
| **Data layer** | Built-in entity system with typed schemas, relations, and search across 47 tables | Connect to external databases; no built-in data model |
| **Access control** | RBAC with policies, scope rules, field masks, and per-tool-call authorization | API key-based access; simple team permissions |
| **Conversation** | Persistent threads with multi-turn context, channel awareness, and message history | No conversation state; stateless execution per trigger |
| **LLM integration** | Core architecture: 40+ models via OpenRouter, dynamic system prompts, tool calling | Optional AI nodes (OpenAI, Claude) added to workflows |
| **Integrations** | 31 built-in tools + custom tools on Fly.io | 1000+ pre-built integrations (n8n: 400+, Zapier: 7000+, Make: 1500+) |
| **Error handling** | Agent self-corrects: retries tool calls, adjusts approach based on error messages | Retry nodes, error branches, manual intervention |
| **Multi-step** | Agent autonomously chains tool calls based on reasoning | Explicitly wired step-by-step connections |
| **Eval and testing** | Built-in eval suites with LLM judge assertions and multi-turn test cases | Manual testing; limited automated test support |
| **Environment isolation** | 3 environments: development, production, eval | n8n: staging/production; Zapier/Make: limited |
| **Deployment** | `struere deploy` with dry-run and diff | n8n: self-hosted or cloud; Zapier/Make: cloud only |
| **Pricing** | BYOK + credit system; pay for LLM usage | Per-execution pricing (Zapier: per task, Make: per operation, n8n: per execution) |
| **Open source** | No | n8n: yes (fair-code license); Zapier/Make: no |

## Key Differences

- Struere agents decide what to do at runtime based on user input. A user says "book me a session next Tuesday at 3pm" and the agent reasons through checking availability, finding the right entity, and creating the booking. In n8n, each of those steps is a separate node wired together in advance.
- Struere handles ambiguity. When a user's request is unclear, the agent asks clarifying questions. Workflow tools fail or take a pre-defined error path.
- Struere's built-in data layer stores entities with typed schemas and enforces RBAC at every tool call. Workflow tools connect to external databases and pass data between nodes without built-in access control.
- Workflow tools have vastly more integrations. Zapier connects to 7000+ apps. Struere has 31 built-in tools covering 8 categories plus custom tool support. For simple "when X happens, do Y" automation, workflow tools have more pre-built connectors.
- Struere agents maintain conversation context across multiple turns. Workflow tools are stateless: each trigger execution starts fresh with no memory of previous runs.

## When They Work Together

Struere and workflow tools solve different problems and can complement each other. Use Struere agents for user-facing interactions that require reasoning: customer support, appointment scheduling, data queries with natural language. Use n8n/Zapier/Make for deterministic backend automation: syncing data between systems, sending scheduled reports, processing webhooks with fixed logic.

Struere's trigger system handles event-driven automation (`{type}.created`, `{type}.updated`, cron schedules) within the agent platform. For automation that spans external systems without LLM reasoning, workflow tools are more cost-effective and have more integrations.

## When to Choose Workflow Tools

n8n, Zapier, and Make are the stronger choice for deterministic automation that follows the same path every time, connecting many external services with pre-built integrations, non-technical teams building automations without code, and use cases where LLM reasoning adds cost without value. Workflow tools are more mature, have larger integration ecosystems, and are simpler to debug because every execution follows a visible path.

## When to Choose Struere

Struere is the stronger choice for user-facing AI agents that need to understand natural language, make decisions, handle ambiguity, and maintain conversation context. Teams building customer support agents, scheduling assistants, or data-querying interfaces need the LLM reasoning loop that workflow tools do not provide. Struere's built-in RBAC, data layer, and eval framework make it the better choice for agents handling sensitive data in production.

## Related

- [AI Agent Platforms Comparison (2026)](/knowledge-base/ai-agent-platforms-comparison) — Full comparison across 7 platforms
- [Best Practices for Building Agents](/knowledge-base/best-practices) — Production patterns for tool design and prompts
- [Built-in Tools](/tools/built-in-tools) — Full catalog of 31 built-in tools