Agent Washing Is the New Cloud Washing
Have you noticed every vendor is now “agentic”? We've been through this before. Remember a decade ago when every product was “cloud”? Some were. Most just tweaked their logo to make it look more "cloud-y".
The article discusses the phenomenon of 'agent washing,' where vendors overhype their AI agent capabilities, similar to past 'cloud washing' trends. It provides three tests to identify genuine AI agent platforms from those that are merely marketing their products.
What happened
The article compares the current trend of 'agent washing' to the past 'cloud washing' and outlines three tests to identify genuine AI agent platforms. These tests focus on the ability to resume tasks after failure, provide verifiable evidence of actions, and connect reliability to cost.
Why it matters
For AI developers and technology professionals, understanding the difference between genuine AI agent platforms and those that are overhyped is crucial for making informed decisions. This helps avoid vendor lock-in and ensures reliable, cost-effective solutions.
- Use the three tests to identify genuine AI agent platforms.
- Avoid vendor lock-in by keeping existing frameworks and adding reliability layers.
- Focus on verifiability and cost-effectiveness when evaluating AI agent solutions.
The bigger picture
The article emphasizes the importance of reliability and cost-effectiveness in AI agent systems, which can significantly impact the practical deployment and long-term viability of such technologies.
The article concludes that the 'agent washing' trend is similar to past 'cloud washing' and provides practical tests to distinguish real AI agent platforms from overhyped ones.
Technical details
- Agent orchestration that resumes from the exact step that failed without re-firing previous steps.
- Verification of actions through records of who the agent acted as, what it called, and the order of actions.
- Durable workflows that ensure no previously completed steps are paid for twice.
FAQ
What is 'agent washing'?
'Agent washing' refers to the practice of vendors overhyping their AI agent capabilities, similar to the past 'cloud washing' trend.
What are the three tests to identify genuine AI agent platforms?
The three tests are: the kill test (resuming tasks after failure), the evidence test (verifying actions), and the economics test (connecting reliability to cost).
Why is it important to avoid vendor lock-in?
Avoiding vendor lock-in ensures that users can maintain their existing agent frameworks and add reliability layers without being forced to abandon their current systems.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by Dev.to AI on Sep 30, 2026.
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