Podbit · Startups For the Rest of Us
For a whole category of SaaS, agents are a boon — they increase demand for good APIs and reliable backends. The smart play is building agents into your SaaS product, not watching agents eat your product from the outside.
Where this was said
At 16:50 · chapter starts 14:30
The third claim is the most nuanced: AI agents will simply do the work SaaS currently facilitates, making it obsolete. Rob partially concedes the point — some workflows, particularly thin data-transfer layers, will get absorbed by agents — but then draws the line. Agents have to act somewhere. A dentist's agent still needs patient data, scheduling, billing, and insurance compliance. It needs that data to be durable, secure, and accountable. [1] — Rob Walling "AI agents have to act somewhere, and that somewhere is a SaaS backend. A dentist's agent still needs patient data, scheduling, billing, and…" 14:40 An agent floating in isolation is useless without a backend. This, Rob argues, means agents don't kill SaaS — they actually increase demand for good APIs and reliable systems of record. For a whole category of SaaS, agents are a boon and an accelerant. The smart move for SaaS founders is to build agent capabilities into their own products — letting external agents interact via APIs while also offering native agent features as part of the subscription. The future is agents on top of SaaS.
AI agents have to act somewhere, and that somewhere is a SaaS backend. A dentist's agent still needs patient data, scheduling, billing, and compliance — all of which require durable, secure systems of record. Agents don't replace SaaS; they depend on it.
AI agents require a system of record for structured data, security, and compliance — making them reliant on SaaS rather than a replacement for it.
Agents increase demand for good APIs and reliable SaaS backends, making them an accelerant for well-built SaaS products, not a replacement.
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