AI

An extended edition with dozens of AI PM resources: definitions, courses, guides, reports, tools, and step-by-step tutorials

8 AI Agent Configurations. 9 Best Practices. 11 Agent Prompting Principles. 3 Agentic RAG Architectures. No Coding.

AI Product Manager in the US: $245,346. Product Manager: $123,654 per year.

The most practical guide you’ll read on AI product strategy. This will teach you how to build an AI moat that compounds and how to lead AI initiatives with confidence and clarity.

The Emergence platform generates intelligent agents on demand to meet enterprise needs—no static workflows, no limits.

Sierra’s AI research team is on a mission to advance the frontier of conversational AI agents. In this research paper, we present a new benchmark for evaluating AI agents' performance and reliability in real-world settings, with dynamic user and tool interaction. Read on for a synopsis of our inaugural publication.

Researchers at Hebrew University, IBM, and Yale summarize the latest in AI agent benchmarking and suggest four ways it could be improved.

Unlock AI agent potential with 8 essential steps. Optimize benchmarking for efficiency, real-world readiness, and enterprise success. Elevate AI impact.

Fellou is the world's first agentic browser that automates complex tasks with Deep Action technology. Enjoy hands-free research, cross-platform workflow automation, and AI-powered report generation - all with military-grade security. Transform how you browse and work with your intelligent digital partner.

11K likes, 86 comments - evolving.ai on June 24, 2025: "Google just released an open source framework for building full stack AI agents with Gemini 2.5. It's fully compatible with Replit. You can run and customize your own agent with: • A built-in conversational interface • A backend optimized for AI tasks and research This makes it easier for developers and indie creators to experiment with advanced AI agents. repo: https://github.com/google-gemini/gemini-fullstack-langgraph-quickstart Special thanks to @itspaulai for the workflow and the videos. What are your thoughts on this? 🤔💬 — ➡️ That's it! If you want to keep up with all the AI news, useful tips, and important developments, join 50k+ subscribers reading our free newsletter.".

Script your automations in the language of your choice

What most posts about AI Agents miss in production - Part 1 The enthusiasm around AI agents and tools like N8N is understandable, but sadly most of the posts focus on the hype and overlook what works in production for companies! 1 - Industry Leaders Favor Workflow-Based Approaches! Leading AI companies, including Anthropic, increasingly recommend "AI-powered workflows" over full autonomy. Simply put: workflows provide predictable outcomes with defined guardrails, while agents introduce variability that can compromise business operations. 2 - Leverage Existing Infrastructure First! Before introducing new platforms, evaluate your current automation capabilities. Does your company have a suite of applications from a company like Microsoft for example? if the answer is "Yes", make sure you explore something like Microsoft Power Automate first before going with something else. 3 - Define Acceptable Error Thresholds! Error tolerance varies dramatically across industries and use cases: - Financial services: Minimal tolerance due to regulatory and compliance requirements. - Marketing operations: Higher tolerance for creative and experimental processes. Establish clear error budgets and failure scenarios before deployment. 4 - Evaluate Code-First Solutions, and yes, they work and get things done more than you expect! Not every automation challenge requires generative AI where you sprinkle some prompts and API calls and that's it - traditional programming solves a myriad of real-world challenges. Share with me your thoughts in the comments below!

109K likes, 434 comments - chatgptricks on February 19, 2025: "Most people are still prompting wrong. OpenAI President Greg Brockman just shared a framework to fix that. Originally developed by Ben Hylak, this method helps you craft the perfect prompt by focusing on four key elements: 1. Goal: Clearly define what you want. 2. Return Format: Specify how you want the response structured. 3. Warnings : Set guardrails for accuracy. 4. Context Dump: Add background info for better results. Master this, and your AI responses will be next level. Have you been structuring your prompts like this? #prompt #ai #o1 #openai #chatgpt".

9,596 likes, 54 comments - aifolksorg on February 25, 2025: "AI Engineering Roadmap 2025: From Basics to Advanced! 🔥 Here’s your step-by-step guide: 1️⃣ Programming Fundamentals: Master Python, data structures, and algorithms. 2️⃣ Math & Stats: Crush linear algebra, calculus, and EDA for data mastery. 3️⃣ ML Foundations: Regression, decision trees, and real-world applications. 4️⃣ Supervised/Unsupervised Learning: Labeled data? Unlabeled chaos? Conquer both. 5️⃣ Deep Learning: Build CNNs, RNNs, and deploy TensorFlow/PyTorch like a pro. 6️⃣ Generative AI: Create art, text, and more with GANs and diffusion models. 7️⃣ NLP: Master transformers, BERT, and sentiment analysis. Start learning with our free courses at @aifolksorg : Learn AI & Data Science with structured courses, hands-on projects, and mentorship. Your future in AI starts at @aifolksorg ! 💡🤖 #AIEngineering #AIRoadmap2025 #LearnAI #MachineLearning #DeepLearning #GenerativeAI #AIFolks #DataScience #CareerInAI #FreeLearning [ai engineering roadmap 2025, learn AI free, aifolks.org, generative AI, deep learning, NLP, machine learning, data science career, Python for AI, AI portfolio]".

3,891 likes, 43 comments - arkie.develops on March 6, 2025: "Here are some ideas for your portfolio, outside of the standard and basic chatbot 🤖".

181K likes, 15K comments - thedailychatgpt on February 25, 2025: "Most people barely scratch the surface of ChatGPT’s true power. These prompts unlock deeper insights, challenge assumptions, and push AI to think like an expert. Want to level up your thinking? Start using these today. 👉 Comment “YES” and I’ll send you my AI toolkit! #expert #chatgpt #prompts #ai #mind #psychology".

4,184 likes, 2,707 comments - adamstewartmarketing on February 23, 2025: "Anthropic dropped the blueprint to building AI assistants, and it’s way simpler than you think. #ai #aiagents #aiassistants #anthropic".

DeepSeek AI Releases Smallpond: A Lightweight Data Processing Framework Built on DuckDB and 3FS

Looking to build your AI engineer toolkit in 2025? Here are Python libraries and frameworks you can’t miss!

43K likes, 2,271 comments - rpn on February 18, 2025: "I wanted to quickly make this video for y’all because things are changing fast — and I think it’s important to stay updated. Let me introduce you to “vibe coding,” where developers are now using AI to for the heavy lifting and the mundane tasks. Some of these tools will let you design, build and deploy basic sites and apps with 0 coding ability — in minutes. The landscape is changing fast, and natural, conversational English is becoming the coding language of the future. I’ll go a little deeper into this all in my next newsletter. Like Naval says at the end of the video, exploring AI and familiarizing yourself with these tools will set you apart. As always follow @eluna.ai to stay updated on the fast-progressing world of AI. I’m off to London 🫡 see you all soon!".

2,589 likes, 190 comments - joshyspeed on February 8, 2025: "Tried not to yap in this but still went slightly over the time - let me know if you guys have any questions!".

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by ...

Introduction · Guidelines · Iterative · Summarizing · Inferring · Transforming · Expanding · Chatbot · Conclusion

🤖 Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your p...

Open-source models will destroy ChatGPT and Gemini. The story of open-source Large Language Models is the story of Linux. Windows and Mac won consumers, but Linux became the Internet's operating system. The same will happen with ChatGPT, Gemini, and open-source models. Closed,… https://t.co/LU2ZrA8qjx https://t.co/fdmS1VNtqf

ChatGPT is revealing how much of our workday is dedicated to rearranging trivial bits of text into slightly different configurations The point is not how intelligent AI has become, but how utterly banal and pointless most human work is

We explore a myriad of AI tools across various fields, including healthcare, robotics, customer service, social media, education, security, and more.

No more unstructured data outputs; turn ChatGPT’s completions into structured JSON!

So you want to create an app with ChatGPT and make a bajillion dollars? Here's what you need to know.