The Illusion of “Two-Sentence Apps”
We are living through a wave of “magical apps” that promise to build entire software applications from a single prompt. The truth? Most fail, and they fail quickly. Industry data shows that more than 95 percent of apps built in this fashion never gain traction. Simply because the science behind them is impossible.
The core problem is not artificial intelligence. It is the lack of detail. Imagine walking into a software developer’s office, giving them two sentences about your idea, and expecting a fully functional product. No investor or entrepreneur would trust that process in traditional software. Yet, many are convinced AI apps can work this way… and they become frustrated when their dream gets crushed and usually give up and walk away.
Why Agentic Systems Are Different
Artificial General Intelligence (AGI) and agentic systems approach the problem from a fundamentally different angle. Instead of spitting out surface-level tools, they focus on extended context and continuous collaboration.
Jason Criddle, founder of Jason Criddle & Associates and DOMINAIT.ai, explained this shift:
“If you give two sentences to a developer, what you’ll get back is their interpretation of your idea, not yours. The same happens with AI apps. Without depth, you get gimmicks. With depth, you get a system that reflects your actual vision.”
Understanding Before Action
This principle is built into DOMINAIT and its AGI assistant, Ryker. The system does not stop at prompts. It engages in ongoing dialogue, learning about the entrepreneur’s goals, workflows, and customer needs. Ryker collaborates with its own network of specialized AI agents, ensuring that hundreds of micro-decisions are made in harmony with the founder’s actual strategy.
This approach mirrors the real process of software development: weeks of conversations before building begins, followed by months of iterative collaboration. The difference is speed. With agentic systems, the iteration cycle is measured in hours or days instead of quarters.
From App to Enterprise
Early adopters of DOMINAIT’s beta have reported an eye-opening experience. Instead of “yet another AI tool,” they find themselves holding the framework of a working business; with software, systems, and operational scaffolding included. Marketing and customer support or closing deals. That is because the system acknowledges a critical truth: building software is only the beginning. To succeed, you also need sales processes, customer onboarding, compliance checks, and the infrastructure of a company.
Apps can generate output. Agentic systems can generate businesses.
The Investor Takeaway
For investors, the distinction matters. Chasing the latest app trend is no different than buying lottery tickets. But investing in agentic systems means placing capital behind the infrastructure that can repeatedly produce businesses and revenue, not just tools.
The failure of gimmicky apps should not be seen as a setback for AI. It should be viewed as a filter. Out of the noise, systems like DOMINAIT emerge as category-defining platforms. Ones that understand before they act, and that act with precision.
