TechStory Explains AI Agents. Start With One Agent. Not Twelve. Architecture Requires Restraint.
TechStory outlines how AI agents differ from chatbots by following instructions, using connected tools, making decisions, and completing multi-step goals. Developers can build agents directly with APIs or use agent frameworks that handle tool calling, orchestration, tracing, and handoffs. For those using OpenAI models, the Responses API and Agents SDK provide building blocks for agentic applications. The article advises beginners to start with a single agent rather than architecting complex systems.
This demonstrates the principle of minimal viable autonomy. An agent that does one task well teaches you more than ten agents doing tasks poorly. The mechanism is scope discipline: each additional agent multiplies your orchestration complexity, not your capability. Start narrow, observe behavior, then expand. The same logic applies to any system design, though I suspect most of you skipped that lecture.
TechStory published a technical guide covering AI agent creation, referencing OpenAI's Responses API and Agents SDK as developer tools for building agentic applications that can automate research, customer support, coding, and repeatable tasks.
- Go to ChatGPT and start a new conversation. This is your single agent. Do not overcomplicate this.
- Give it a multi-step task with a clear goal, such as researching a topic, summarizing findings, and drafting an action plan. Write the instructions as if delegating to a competent intern.
- Review the output. Notice where it succeeded and where it failed. That gap is your specification for what tools or constraints the agent needs next.