Agent Myths

Agents are at the peak of the hype. Every product is suddenly an agent, and every demo looks like magic. Before you build Juno, let's replace the most common myths with what real teams have learned.

• Peak hype
• Every product is an agent
• What real teams learned

Myth: agents replace workflows

People assume that agents are the next step up, so workflows are outdated. In fact, most successful products are mainly workflows, with small agent parts. Fixed steps are cheaper, faster, and easier to test. Agents are for the parts that you can't plan in advance. More autonomy isn't a goal. Solving the problem is.

Myth: a better model solves it

When an agent fails, the first instinct is to upgrade the model. But the usual causes are confusing tools, poor context, or missing evaluation. Teams who've shipped agents spend most of their time on tools and evals. A good system makes an ordinary model look brilliant.

Myth: more agents means better

Multi agent demos look impressive. But each handover loses information, and costs tokens, and reliability multiplies downward. Many teams have gone back to one strong agent, with well designed tools, and they got better results. Split only when you really need to.

Myth: guardrails in the prompt are enough

Writing never do this, in capital letters, isn't security. A prompt is a request, and a tricked model will ignore it. You'll see this for yourself in the capstone. Every rule that really matters needs to live outside of the model.

Myth: a great demo proves it works

A demo shows one good path, on one good day. Real use brings odd requests, broken tools, and people who try to trick it. An agent that succeeds nine times out of ten sounds fine, until you're running ten thousand tasks a day. You don't know how good an agent is until you've measured it on a test set. So trust your evals, rather than the demo.

Myth: more memory makes it smarter

It seems obvious that an agent which remembers everything must be better. But every old message costs tokens, adds noise, and can mislead the model. Bad memories can even be planted by an attacker. Good memory is selective. Save what's useful, summarise the rest, and let things expire.

Myth: MCP makes tools safe

MCP is a standard way to connect tools. It's a plug, rather than a security guard. A connected server can still have too many permissions, and its descriptions can still carry an attack. So treat every server just like any other outside code. Check where it came from, give it the smallest access that works, and keep the approval gates in your own code.

Myth: agents are digital employees

The marketing says that you can hire an agent, and walk away. But an employee has judgement, and carries responsibility. An agent has neither. When something goes wrong, the company that deployed it is still accountable. The strongest systems treat agents as fast, tireless assistants, with clear limits, and with people in charge of decisions that matter.

Summary