Building Products That Solve Real Problems
A few fundamental lessons on identifying genuine friction, avoiding vanity complexity, and building technology products that endure.
Why the true revolution of intelligent systems lies not in replacing human judgment, but in amplifying autonomous leverage.
The initial phase of the modern generative AI boom was defined by conversational text interfaces: chatbots, prompt boxes, and interactive playgrounds. While conversational interfaces served as an accessible demonstration of underlying model capabilities, they represent an imperfect modality for high-throughput professional labor.
In professional workflows, nobody wants to converse with a bot for twenty turns to format an income statement. What professionals actually need are deterministic deterministic execution pipelines augmented by non-deterministic intelligence.
The most profound shift is happening at the intersection of tool use, structured schemas, and continuous agentic loops. When models can formulate multi-step plans, inspect compiler outputs, call deterministic APIs, and iterate based on environmental feedback, the nature of software engineering changes entirely.
interface AgentExecutionLoop {
observe: () => Promise<SystemState>;
deliberate: (state: SystemState) => Promise<ActionPlan>;
execute: (action: ActionPlan) => Promise<ActionResult>;
evaluate: (result: ActionResult) => boolean; // Done or iterate
}
As the marginal cost of code generation and technical scaffolding converges toward zero, the limiting constraint shifts from execution capacity to problem selection, systems taste, and verification discernment.
To build resilient products in this era, engineers must master the combination of robust deterministic infrastructure (types, schema validation, immutable databases) with adaptive intelligence layers. The future belongs to builders who can wield both with uncompromising rigor.
WRITTEN BY
I build technology products, explore artificial intelligence, and work on ideas that solve meaningful problems.
A few fundamental lessons on identifying genuine friction, avoiding vanity complexity, and building technology products that endure.
Reflections on multi-tenant architecture, pricing models, database integrity, and operational simplicity in SaaS development.