Another Crazy Day in AI: Designing Intelligent Systems
- Wowza Team
- Apr 21
- 4 min read
Hello, AI Enthusiasts.
Still catching up from the weekend?
If you're building your first real LLM agent, there's a guide packed with frameworks and patterns that go beyond “chatbots that ghost you.”
In Peru, AI helped archaeologists uncover 303 new Nazca geoglyphs. Who knew tech could rewrite history?
If you thought ChatGPT was just good for casual chats, think again. There’s now a cheat code—R.E.A.S.O.N.—to unlock its ability to think logically, strategically, and even solve complex problems. That’s all for today. Let’s see what this week has to offer.
Here's another crazy day in AI:
When and how to build an LLM agent
AI solves one of archaeology’s biggest mysteries
How to prompt ChatGPT for better logic and critical thinking
Some AI tools to try out
TODAY'S FEATURED ITEM: Creating Independent Systems
Image Credit: Wowza (created with Ideogram)
What makes a digital system truly helpful—when it follows instructions, or when it starts thinking on its own?
OpenAI recently published A Practical Guide to Building Agents, a comprehensive resource for product and engineering teams exploring the development of LLM-powered agents. The guide offers practical insights, design patterns, and best practices for creating systems that can independently handle complex tasks with minimal human oversight, moving beyond basic chatbots to truly autonomous workflow automation. It’s based on lessons learned from actual deployments and is designed to help teams build agents that are capable, reliable, and safe.
Rather than offering a one-size-fits-all solution, the guide walks through when it makes sense to consider agents in the first place—highlighting use cases where traditional automation often falls short. It also introduces the foundational elements of agent design and provides real examples and implementation tips that can be applied whether you’re building from scratch or working with existing tools.
Inside the guide:
What sets agents apart from typical LLM applications and automation tools
When agents are the right fit—especially for nuanced, data-rich, or exception-heavy workflows
How to design with the three building blocks: model, tools, and instructions
Ways to structure logic using both single-agent and multi-agent setups
Guidance on writing clear, purposeful instructions to avoid ambiguity
Practical guardrail techniques for safety, relevance, and human intervention
A roadmap for scaling agent capabilities over time based on real use
What stands out in this guide is its focus on clarity and practicality. It’s not trying to convince you to adopt agents—it’s helping you figure out if and how they can fit into what you’re building. If your team is facing challenges with brittle rules, ambiguous inputs, or processes that don’t cleanly map to deterministic logic, this resource can help you evaluate whether agents offer a better path forward.
The broader takeaway isn’t just about using a new tool. It’s about revisiting how we think about automation and decision-making in systems. As the boundaries of what language models can do continue to shift, there’s value in pausing to ask: what should we automate, how should we do it, and what kind of control should these systems have? This guide doesn’t answer all of those questions, but it offers a solid starting point for teams willing to explore them.
Read the full paper here.
OTHER INTERESTING AI HIGHLIGHTS:
AI Solves One of Archaeology’s Biggest Mysteries
/Lydia Amazouz, Science Writer, on Daily Galaxy
AI has helped archaeologists uncover 303 new Nazca geoglyphs in just six months, doubling the number of known figures and offering powerful insights into the mysterious desert carvings of Peru. By analyzing aerial imagery, researchers from Yamagata University and IBM trained AI to detect patterns invisible to the human eye. This milestone is reshaping how archaeologists approach historical analysis—cutting down research time drastically while boosting accuracy. Experts say AI could soon become essential in studying other ancient sites worldwide, from buried cities to shipwrecks.
Read more here.
How to Prompt ChatGPT for Better Logic and Critical Thinking
/Jafar Najafov, AI Educator & Creator on X
While many use ChatGPT for casual queries or writing help, very few know how to unlock its real superpower—structured reasoning. In a viral X thread, AI educator Jafar Najafov shared a full cheatsheet on how to prompt ChatGPT as a logical analyst, math coach, or strategy consultant, among other roles. By combining these roles with tasks like ethical scenarios or decision matrices, users can turn ChatGPT into a high-level critical thinking assistant. The R.E.A.S.O.N. formula he shares makes it easy to write better prompts—and get smarter, more structured responses in return.
Read more here.
SOME AI TOOLS TO TRY OUT:
DocsHound – Auto-generates docs, chatbots, and onboarding from a single product demo.
Checklist – Create and manage checklists for repeatable tasks—free to try.
Google Whisk Animate – Instantly turn images into smooth 8-second animations.
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
The Another Crazy Day in AI newsletter is on LinkedIn!!!
Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.
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