Three live arguments in AI agents that are worth having in public

The real arguments in this space are no longer about whether agents exist. The live questions are where autonomy actually pays off, which actions always deserve approval, and whether multi-agent systems solve a real problem or just spread the same ambiguity across more components.

Three questions worth debating:
- where assistants end and agents begin
- how much human approval is enough in customer-facing flows
- whether multi-agent systems are worth the added complexity

Background reading before you take a strong stance:
- OpenAI Agents SDK for JavaScript: openai.github.io/openai-agents-js/
A clean look at agents, handoffs, guardrails, and tracing in one place.
- OpenAI Agents SDK for Python: openai.github.io/openai-agents-python/
Useful when your team wants the same concepts with more backend-heavy examples.
- OpenAI video archive: youtube.com/@OpenAI/videos
Talks and demos are a fast way to compare patterns before you commit to one runtime.

When you respond, include the environment you are optimizing for. Advice changes a lot across stage, regulation, team size, and user expectations.