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π AI Agents are the future.
A quick, easy to follow guide for you!
Read time: 8 minutes | Unlock my Complete AI Bundle with lifetime updates
Greetings from above,
AI Agents are the future, simple as that.
In this edition, letβs discover the game-changing potential of GPT-5 agents and how they will revolutionize businesses across the world.

A cool guide to how long you can work on making a routine task more efficient before youβre spending more time than you save.
Learn about the importance of decentralized hardware, the rapid improvement of AI agents, and the future of operating systems in this easy-to-digest guide.
Letβs dive in!
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Introduction to AI Agents
AI agents are the next big thing and will be how AGI is built
The agent revolution is near, and not many people understand this
The great unlock will be a combination of better LLMs, cheaper API costs, and simple, clean UI
What are AI Agents?
AI agents are systems designed to make decisions and take actions towards a goal without needing step-by-step instructions
They are helpful assistants or employees powered by large language models
Agency is the ability to take action or do things, which is essential for an AI agent
The GPT-5 Moment and Its Implications for AI Agents
GPT-5 will have better reasoning, long-term memory, multi-modality, and emerging properties
As soon as GPT-5 is released, agent builders will go nuts, and development speed will be impossible to keep up with
Proper preparation prevents poor performance, so it's essential to start building AI agents now
Choosing Tasks for AI Agents
Current agents excel at clear, simple tasks with well-defined goals
Focus on small, repetitive tasks you do every day for the biggest returns and easiest implementation
Have realistic expectations and understand that current agents cannot do everything just yet
Popular Use Cases for AI Agents
Automatic research agents running 24/7
Software engineering, building, optimizing, and debugging code
Customer service, with AI agents handling a significant portion of conversations
System 1 and System 2 Thinking in AI Agents
LLMs like ChatGPT are only capable of System 1 thinking (fast, impulsive, automatic decisions)
Agents are the first step towards giving AI the ability to form long-term plans and execute upon them (System 2 thinking)
Choosing the Right AI Agent Framework
Popular frameworks include AutoGPT, Baby AGI, Crew AI, Autogen, Multion, ChatDev, and MetaGPT
The best framework depends on your skill level and goals
Prioritize frameworks with deep documentation, lots of tutorials, and a low barrier to entry
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The Future of AI: GPT-5 Agents and Beyond
GPT-5 Agents are Coming Sooner Than You Think
OpenAI is already testing early versions of GPT-5 with enterprise clients
GPT-5 will have the ability to call AI agents to perform tasks autonomously
Agents give businesses an unfair advantage, as demonstrated by a study at an elite consulting firm
The Great Hardware Problem
Running large AI models requires expensive hardware, even for smaller models like LLaMA 2
Decentralized hardware is needed for everyone to access and use AI effectively
Cloud-based solutions are not ideal due to lack of control and potential access restrictions
Agents are Improving at an Astonishing Rate
A 7B model trained at the Mistral Hackathon was able to play Doom using only ASCII representation
Influencer Dynamics Simulator (IDS) agents will revolutionize influencer marketing by simulating follower reactions and saving companies millions
Operating systems will evolve to incorporate Agent Interfaces (AAI), allowing LLMs to control computers and perform tasks autonomously
Building Your Own Agent Teams
Focus on creating two essential teams: a programming team and a prompt engineering team
These teams will serve as the foundation for building and improving future agents
Ignore naysayers who focus on current limitations; the potential for agents is immense
Real-World Examples and Developments
Entrepreneurs like Peter Levels are already making millions using AI agents
Microsoft's Autogen framework showcases the power of multi-agent systems for software development
Today's agents are capable of completing real job offers on platforms like Upwork and Reddit
Embracing the Agentic Future
The capabilities of agents are unpredictable and do not follow a linear improvement pattern
Overreliance on agents can be dangerous; always preserve the ability to think for yourself
Building better agents will become the most important skill in the future
Those who master AI now will have a significant advantage over those who don't
We live in exciting times. Letβs just keep learning together and one day finally dive in how to build an AI Agent of your own in the simplest possible way!
πΊοΈ Roadmap for π God of Prompt πΊοΈ
We are excited to share the roadmap for next steps of God of Prompt:
Our first goal is to build an open source prompt library that will be featured on our website (except premium mega-prompts).
Expand the Complete AI Bundle with 2,000+ high quality mega-prompts for all business/work/marketing tasks!
We will create a virtual cabinet for ultimate convenience for you to store your purchases, links and additional resources (including storing your favorite prompts!)
After we create these first two phases, our next step will be to build AI Agents for you - you will click on an agent, fill up your info - and it will perform the task for you!
π¦ Wrap up π¦
The world of AI is evolving rapidly, and agents are at the forefront of this change.
By staying informed and adapting to these developments, you can position yourself and your business for success in the age of AI.
Join my AI community by getting lifetime access to The Complete AI Bundle β a bundle that will be updated for you free of charge, forever!
Don't miss out on this opportunity to stay ahead of the curve.
What did you think about today's edition? |
And as always, thanks for being a part of my lovely community,
Stay in touch,
π Alex from God of Prompt
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