AgenticAI

Validity Is What You Need

Kari Jaaskelainen

04 Nov 2025 — 1 min read

What is "Agentic AI" really? Sebastian Benthall and Andrew Clark argue it’s best seen as a software delivery mechanism—like SaaS—that lets an application work autonomously inside complex enterprises.

Applications first: Agentic AI systems should be judged as products, not as foundation models.
Validate with users: Success depends on measures that principal users and stakeholders can check in real workflows—very different from LLM benchmark scores.
Simpler can win: Once you have solid validation, the core logic can often be handled by simpler, faster, more interpretable models.
LLMs are a means, not the end: They’re one option to reach validated performance—not a requirement.

When it comes to Agentic AI, validity is what you need.

Bottom line: Build for operational validity, then choose the simplest tech that passes the bar.

Paper: http://arxiv.org/abs/2510.27628v1

Register: https://www.AiFeta.com

AgenticAI AI Validation LLM SaaS Enterprise ProductManagement MLOps Reliability

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