LV2 · Toolooo Standard
Workflow vs Agent vs Multi-Agent Decision Lab
Choose the simplest useful architecture: code, workflow, one agent, tools or independent specialists.
What is the simplest architecture that meets the task? Compare code, a workflow, one agent, an agent with tools and multiple agents. These are editorial fit rules, not AI-generated advice or probabilities.
Risk, budget, audit and acceptance constraints
Current constraints: low impact · high cost sensitivity · high latency sensitivity · small scope · exact output yes · verification existing. Change these above when they differ from your task.
Categories, limits and sources
Code follows explicit rules. Workflows own known stages and durable control. Here Single Agent means a bounded reasoning loop over supplied context; Agent + Tools adds external capabilities. Multi-Agent delegates substantial independent work with separate context. Real implementations overlap; one prompt may suffice before any loop.
A workflow with a bounded agent step preserves application-owned transitions, checks and approval. This lab does not prove correctness, safety or compliance. High-impact decisions require qualified accountable review; multiple models can repeat the same error. No agents, simulations, APIs or network calls run. Answers stay in memory and never enter shared links, storage or analytics.
Anthropic: workflows and agents · OpenAI: start simple. Sources inform the principles; they do not supply or endorse these scores.
What this tool does and why
Before you start
What
Choose the simplest useful architecture: code, workflow, one agent, tools or independent specialists.
Why
More autonomy adds flexibility, uncertainty and coordination cost. Start with the simplest design that satisfies real process, tool, evidence and review requirements.
Your Result and Action update in the tool as you change its inputs.
Model note
This browser-side model explains the inputs you choose. Check an important decision against the real system, brief, or production constraints.
Next
How this tool stays honest
How it works
Compare five architecture patterns using transparent deterministic fit signals, eligibility constraints and a simplicity margin. Review workflow hybrids, coordination penalties, verification conflicts, relative complexity and practical first steps. No runtime agents or model calls execute.
Assumptions
The tool runs in your browser and models the information you provide. It does not know facts outside that model.
Limitations
Editorial architecture guidance, not probability, a benchmark or safety/compliance certification. Scores depend on declared answers; constraints override ranking. Test actual quality, permissions, review, cost and latency before adopting autonomy.
Understand Workflow vs Agent vs Multi-Agent Decision Lab
What this tool helps you understand
Compare five architecture patterns using transparent deterministic fit signals, eligibility constraints and a simplicity margin. Review workflow hybrids, coordination penalties, verification conflicts, relative complexity and practical first steps. No runtime agents or model calls execute.
When to use it
Before choosing autonomy or splitting a task across agents.
Try a scenario
Compare Data Validation, Compliance Approval Process and Multi-Discipline Due Diligence. Inspect why rules favor code, approval stages favor a workflow and independent context may justify delegation.
How to read the result
Read constraints before scores. A six-point margin favors the simpler eligible option. Use workflows for explicit control, bounded judgment only where needed, and multiple agents only for substantial independent work with useful context separation.
Assumptions and limits
Editorial architecture guidance, not probability, a benchmark or safety/compliance certification. Scores depend on declared answers; constraints override ranking. Test actual quality, permissions, review, cost and latency before adopting autonomy.
Toolooo is part of Khizooology, created byKhizar Imtiaz (khizooo).