In today’s edition, I will break AI Agents.

Today’s edition is based on my session at AI Engineer HQ

In today’s edition:

• AI Deep Dive— 5 Myths About AI Agents, Busted

• Build Together— Here’s How I Can Help You

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[AI Deep Dive]

5 Myths About AI Agents, Busted

AI agents are everywhere right now.

Some people call them the future of work, others say they’re overhyped chatbots.

Like most things in tech, the truth sits in the middle.

If you don’t know anything about AI agents, here is my 5-minute beginner guide to start with them: AI Agents 101 - Everything You Need To Know About Agents

Let’s get into the myths.

[Myth 1] AI Agents are just fancy chatbots

The truth is, agents are a step beyond chatbots.

chatbots

• respond to questions, follow scripts, and pull info from a single system

• think of chatbots as receptionists who answer FAQs

agents

• plan, reason, and act

• they connect to multiple tools (crm, APIs, databases), keep memory of past interactions, and complete workflows end-to-end

• agents are like project managers who can coordinate tasks across multiple teams and get work done

[Myth 2] AI Agents will take all our jobs tomorrow

The truth is, they are here to help, not replace.

• goldman sachs predicts 300M jobs may be impacted long term, but it’s a decades-long shift

• most companies today use agents to augment work, not replace humans

What’s really happening:

• agents handle routine tasks

• humans focus on strategy, creativity, and judgment

So no, they’re not a job killer.

They’re a productivity booster.

[Myth 3] You need to be a coding genius to use an AI Agent

The truth is you don’t.

• no-code and low-code platforms let you build agents visually

• drag-and-drop workflows, natural language prompts, prebuilt connectors

• anyone can spin up an agent for basic tasks without writing Python

Of course, coding helps if you want deep customization.

But building useful agents no longer requires a PhD or even strong dev skills.

This is why adoption is spreading beyond tech teams into operations, marketing, HR, and customer service.

[Myth 4] AI Agents are unpredictable and can’t be controlled

The truth is, modern frameworks make them highly governable.

• ReAct framework (Reasoning + Acting) forces agents to show their thought process step by step

• this creates a clear audit trail - you can see why an agent took an action

• guardrails, approval workflows, and monitoring tools let you decide how much autonomy they get

In practice:

• some agents work in semi-autonomous mode (asking humans before critical steps)

• others run with guardrails and automated monitoring

Companies like Amplitude already monitor agents in real time, adjusting on the fly.

This makes agents safer and far less of a black box.

[Myth 5] They are all-knowing and never make mistakes

The truth is agents are powerful, but they mess up.

• they make math errors (sometimes by consistent margins)

• they hallucinate facts, presenting false info confidently

• they can misfire on API calls or fail when a connected service changes

• multi-agent setups sometimes loop endlessly or give conflicting answers

Stats to note:

• 61% of companies say accuracy is their biggest issue with AI tools

• only 17% of firms rate their own AI models as excellent

The fix?

• rigorous monitoring

• validation frameworks

• human oversight for high-stakes tasksAgents are best treated as high-speed assistants, not flawless experts.

Final Thoughts

The myths make AI agents sound either magical or dangerous. The reality is more balanced:

• they are much smarter than chatbots, but not close to human general intelligence

• they won’t erase all jobs overnight, but they will reshape workflows

• they’re easier to build than ever, thanks to no-code platforms

• they can be controlled and governed, if built properly

• they still make mistakes, which means oversight is non-negotiable

AI agents are a genuine leap forward, but like every new technology, success depends on how you design, deploy, and manage them.

AI agents are both more capable and more limited than hype suggests.

While others argue about myths, you’ll know exactly how to deploy them for real value.

Want to work together? Here’s How I Can Help You

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