Agentic AI on Producthunt daily

Product Hunt Daily | 2025-09-11

Thu, 11 Sep 2025 07:28:54 +0000

1. Genstore.ai

Tagline: Start selling online with just a prompt
Description: Create and launch a new store within minutes, and sell confidently with the support of your own team of AI agents that supports you from setup to design to launch. We handle marketing automation and campaign management so you can focus on selling.
Website: open
Product Hunt: View on Product Hunt

Keyword: e-commerce, AI, online store, store builder, marketing automation, AI agents, dropshipping, selling online, website builder, business automation
VotesCount: 🔺564
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

2. Latitude 2.0

Tagline: The 1st agent that builds agents
Description: Create an AI Agent from a single prompt. Instead of building agents by hand, describe what you need and Latte creates, connects, and runs them for you. From workflows to production-ready AI assistants, all it takes is one prompt.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI Agent, Agent Builder, AI Creation, Prompt Engineering, AI Workflow, AI Assistant, Automated AI, Latte, Latitude 2.0
VotesCount: 🔺496
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

3. Incredible Small 1.0 by Incredible

Tagline: Agentic AI Models that can take 1000+ actions at once
Description: RESEARCH PREVIEW — Agentic AI Models that can take 1000+ actions at once, and work with large datasets. 100+ app connectors. Try the research preview assistant now at www.incredible.one. Built in Sweden, by Incredible 🇸🇪
Website: open
Product Hunt: View on Product Hunt

Keyword: Agentic AI, AI Models, Large Language Model, 1000+ Actions, Large Datasets, App Connectors, AI Assistant, Incredible, Incredible Small 1.0, Research Preview
VotesCount: 🔺475
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

4. BuildKit 2.0

Tagline: Build integration tools for MCPs & agents in minutes
Description: Introducing BuildKit 2.0 – Build fully customizable in-code AI tools & MCPs for integrations with a single prompt. Works with every development environment and AI framework.
Website: open
Product Hunt: View on Product Hunt

Keyword: BuildKit 2.0, AI integration tools, MCP tools, agent tools, customizable AI tools, in-code AI, rapid integration, AI framework, development tools
VotesCount: 🔺261
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

5. Seedream 4.0

Tagline: A new-generation image creation model from ByteDance
Description: Next‑gen image creation model unifying generation and editing in one architecture. It handles complex multimodal tasks (knowledge-based prompts, reasoning, and reference consistency) while delivering stunning 4K images with dramatically faster inference.
Website: open
Product Hunt: View on Product Hunt

Keyword: Seedream 4.0, image generation, image editing, AI image creation, 4K image generation, multimodal AI, ByteDance, fast inference, knowledge-based prompts, image editing model
VotesCount: 🔺238
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

6. 10X PPC

Tagline: Launch PPC Campaigns 10X Faster
Description: Get the work of a seasoned PPC strategist - without the fees. This AI Agent finds, filters, and exports high converting keywords so you launch smarter campaigns 10X faster.
Website: open
Product Hunt: View on Product Hunt

Keyword: PPC, AI, keywords, campaign, advertising, marketing, automation, SEO, SEM, lead generation
VotesCount: 🔺205
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

7. YC Companies Map

Tagline: A map of yc companies around the world
Description: A map of YC companies around the world. Discover YC startups by city, batch, and industry. This is a white label version of FoundersAround.
Website: open
Product Hunt: View on Product Hunt

Keyword: YC Companies, YC Map, Startup Map, YC Startups, FoundersAround, YC Directory, Venture Capital, Startups, Tech Companies, YC Portfolio
VotesCount: 🔺178
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

8. Hudson Labs

Tagline: High-precision AI, purpose-built for investors
Description: The Co-Analyst is built for institutional equity research - providing the precision of a terminal with the adaptability of AI. Get the data you need — fast, precise, and verifiable.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI, Equity Research, Institutional Investing, Co-Analyst, Hudson Labs, High-Precision AI, Financial AI, Investment Research, Data Analysis, Algorithmic Investing
VotesCount: 🔺133
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

9. Tellers

Tagline: Cursor for video editing
Description: Vibe editing is here! You can now edit your videos just by chatting. Give your instructions, sit back, and watch your assistant work its magic. Tellers is a video editing app built from the ground up to leverage agentic AI workflows.
Website: open
Product Hunt: View on Product Hunt

Keyword: Video Editor, AI Video Editor, Chat Video Editor, Agentic AI, Video Editing App, Vibe Editing, AI Video Editing Assistant
VotesCount: 🔺133
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

Tagline: High-performance, collaborative GPU notebooks in the cloud
Description: Modal Notebooks are a collaborative environment for high-performance interactive computing. They let you explore data, run code, and test ideas in a shared editor. Powered by a GPU-enabled Python kernel that launches in seconds on Modal’s AI infrastructure.
Website: open
Product Hunt: View on Product Hunt

Keyword: GPU Notebooks, Cloud Notebooks, Collaborative Notebooks, High-Performance Computing, AI Notebooks, Python Notebooks, Modal Notebooks, Interactive Computing, Shared Editor, GPU Computing
VotesCount: 🔺130
Featured: Yes
CreatedAt: 2025-09-10 07:01 AM (UTC)

Product Hunt Daily | 2025-07-22

Tue, 22 Jul 2025 07:32:38 +0000

1. Jeeva 2.0

Tagline: Superhuman Sales, Powered By Agentic AI
Description: From lead discovery to enrichment to personalized outreach, Jeeva handles it all so you can focus on closing, not chasing. With 2.0, Jeeva now sorts your inbox, preps you instantly for every call, manages your follow-ups, and even takes notes for you.
Website: open
Product Hunt: View on Product Hunt

Keyword: Sales AI, Agentic AI, Sales Automation, Lead Generation, Lead Enrichment, Sales Engagement, Outreach Automation, Sales Productivity, CRM Integration, Inbox Management, Call Prep, Follow-up Automation, Sales Notes
VotesCount: 🔺661
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

2. Levio by Jupitrr AI

Tagline: Your AI video editing agent
Description: Levio is your AI Video editing Agent that makes finetuning your videos as easy as chatting with ChatGPT. No editing skills or complex timelines needed, just attention grabbing personal branding videos in minutes.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI video editor, AI video editing, video editing AI, AI video agent, automated video editing, Levio, Jupitrr AI, personal branding video, easy video editing, fast video editing
VotesCount: 🔺652
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

3. Trae 2.0

Tagline: SOLO: Context Engineer that delivers software end-to-end
Description: Trae 2.0 brings SOLO to everyone, which is your all-in-one Context Engineer that doesn’t just assist with code, but thinks, plans, builds, and ships complete features end-to-end, with the right information and tools.
Website: open
Product Hunt: View on Product Hunt

Keyword: Trae 2.0, SOLO, Context Engineer, Software Development, AI, Code Assistance, End-to-End Development, Feature Engineering, Automation
VotesCount: 🔺520
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

4. the gist of

Tagline: Go beyond the link in bio. Tell a story.
Description: Share with the world the gist of who you are with the simplest, most beautiful, minimalistic personal site you can create in minutes. We are sure you have an amazing story to tell.
Website: open
Product Hunt: View on Product Hunt

Keyword: personal website, minimalist website, portfolio website, online portfolio, simple website, story website, bio link, link in bio, website builder, create website, personal branding
VotesCount: 🔺427
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

5. Krepling Pay

Tagline: Boost sales with one-click checkout, no account required
Description: Krepling Pay is a white-labeled, platform-agnostic checkout engine that lets customers complete purchases in one click—no login or account needed. Reduce friction, build trust, and boost repeat sales with a fully branded, optimized flow.
Website: open
Product Hunt: View on Product Hunt

Keyword: One-click checkout, checkout engine, white-label checkout, guest checkout, frictionless checkout, boost sales, increase conversions, payment gateway, e-commerce checkout, Krepling Pay
VotesCount: 🔺338
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

6. Stakpak.dev

Tagline: Open-source DevOps agent to secure & manage production infra
Description: Stakpak.dev is an Open-source DevOps agent written in Rust, helps you secure, deploy, and maintain production-ready infrastructure. Try it now: curl -sSL https://stakpak.dev/install.sh | sh
Website: open
Product Hunt: View on Product Hunt

Keyword: DevOps, agent, open-source, infrastructure, security, deployment, Rust, Stakpak, production, management
VotesCount: 🔺230
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

7. sampleapp.ai

Tagline: Self-serve API & SDK onboarding—in 60 seconds. Skip docs.
Description: Nobody likes reading docs. Sampleapp.ai turns your API into interactive, live sandboxes—so developers get a working app and onboard in under 60 seconds. Used by leading unicorn, series A/B/C and high growth startups.
Website: open
Product Hunt: View on Product Hunt

Keyword: API, SDK, Onboarding, Sandbox, Developer, Self-Serve, Documentation, API Integration, Rapid Onboarding, Interactive API
VotesCount: 🔺229
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

8. Refgrow

Tagline: Grow with referrals on autopilot
Description: Add an affiliate program to your product in minutes. Attract affiliates and get customers automatically right inside your app.
Website: open
Product Hunt: View on Product Hunt

Keyword: Affiliate program, referral program, autopilot, affiliate marketing, referral marketing, customer acquisition, app integration, automated referrals, grow business
VotesCount: 🔺180
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

9. Veo 3 API

Tagline: Generate videos (with audio) using Veo 3 from Google
Description: Veo 3 is now available for scaled developer use in the Gemini API, with both audio generation and no audio generation as model options.
Website: open
Product Hunt: View on Product Hunt

Keyword: Veo 3, Gemini API, video generation, audio generation, video API, Gemini, Google AI, scaled video generation
VotesCount: 🔺167
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

10. Brainfork

Tagline: Own your AI knowledge | Personal MCP server
Description: Brainfork is a personal knowledge and decision MCP server that allows you to regain control of your knowledge and maximise the possibility of a personal RAG service.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI, knowledge, personal server, MCP, RAG, Brainfork, knowledge management, decision support, AI knowledge base
VotesCount: 🔺151
Featured: Yes
CreatedAt: 2025-07-21 07:01 AM (UTC)

agents

Thu, 10 Jul 2025 15:31:08 +0800

ed-donner/agents

Master AI Agentic Engineering - build autonomous AI Agents

6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP

If you’re looking at this in Cursor, please right click on the filename in the Explorer on the left, and select “Open preview”, to view the formatted version.

I couldn’t be more excited to welcome you! This is the start of your 6 week adventure into the powerful, astonishing and often surreal world of Agentic AI.

Before you begin

I’m here to help you be most successful! Please do reach out if I can help, either in the platform or by emailing me direct (ed@edwarddonner.com). It’s always great to connect with people on LinkedIn to build up the community - you’ll find me here:
https://www.linkedin.com/in/eddonner/
And this is new to me, but I’m also trying out X/Twitter at @edwarddonner - if you’re on X, please show me how it’s done 😂

The not-so-dreaded setup instructions

Perhaps famous last words: but I really, truly hope that I’ve put together an environment that will be not too horrific to set up!

Windows people, your instructions are here
Mac people, yours are here
Linux people, yours are here

Any problems, please do contact me.

Important notes for CrewAI week (Week 3)

Windows PC users: you will need to have checked the “gotcha #4” at the top of the SETUP-PC instructions – installing Microsoft Build Tools.
If you don’t do this, then CrewAI will fail with an obscure error involving Chroma..

Then, you will need to run this command in a Cursor Terminal in the project root directory in order to run the Crew commands:
uv tool install crewai
And in case you’ve used Crew before, it might be worth doing this to make sure you have the latest:
uv tool upgrade crewai

Then please keep in mind for Crew:

There are two ways that you can work on the CrewAI project in week 3. Either review the code for each project while I build it, and then do crewai run to see it in action. Or if you prefer to be more hands-on, then create your own Crew project from scratch to mirror mine; for example, create my_debate to go alongside debate, and write the code alongside me. Either approach works!
Windows users: there’s a new issue that was recently introduced by one of Crew’s libraries. Until this is fixed, you might get a “unicode” error when you try to run crewai create crew. If that happens, please try running this command in the Terminal first: $env:PYTHONUTF8 = "1"
Gemini users: in addition to a key in your .env file for GOOGLE_API_KEY, you will need an identical key for GEMINI_API_KEY

Super useful resources

The course resources with videos
Many essential guides in the guides section
The troubleshooting notebook

API costs - please read me!

This course does involve making calls to OpenAI and other frontier models, requiring an API key and a small spend, which we set up in the SETUP instructions. If you’d prefer not to spend on API calls, there are cheaper alternatives like DeepSeek and free alternatives like using Ollama!

Details are here.

Be sure to monitor your API costs to ensure you are totally happy with any spend. For OpenAI, the dashboard is here.

ABOVE ALL ELSE -

Be sure to have fun with the course! You could not have picked a better time to be learning about Agentic AI. I hope you enjoy every single minute! And if you get stuck at any point - contact me.

learn-agentic-ai

Tue, 17 Jun 2025 15:30:43 +0800

panaversity/learn-agentic-ai

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: From Start to Scale

This repo is part of the Panaversity Certified Agentic & Robotic AI Engineer program. It covers AI-201, AI-202 and AI-301 courses.

We have Two Hunches, the future of Pakistan depends on it, let’s make sure that we are not wrong:

It is very important for Pakistan that we bet on the right horses for the upcoming age of Agentic AI. We will be training millions of Agentic AI Developers all over Pakistan and online around the world and building startups, we cant afford to be wrong.

Hunch #1: Dapr We feel Dapr, Dapr Actors, Dapr Workflows, and Dapr Agents will be the core technology in building the next generation multi ai agentic systems, is my hunch correct?

Hunch #2: OpenAI Agents SDK We also have a hunch that OpenAI Agents SDK will be the go to framework for beginners to start learning Agentic AI?

Let us see what the best AI has to say about our hunches:

https://chatgpt.com/share/6811b893-82cc-8001-9037-e45bcd91cc64

https://g.co/gemini/share/1f31c876520b

https://grok.com/share/bGVnYWN5_4343d342-c7df-4b06-9174-487a64f59d53

This Panaversity Initiative Tackles the Critical Challenge:

“How do we design AI Agents that can handle 10 million concurrent AI Agents without failing?”

Note: The challenge is intensified as we must guide our students to solve this issue with minimal financial resources available during training.

Kubernetes with Dapr can theoretically handle 10 million concurrent agents in an agentic AI system without failing, but achieving this requires extensive optimization, significant infrastructure, and careful engineering. While direct evidence at this scale is limited, logical extrapolation from existing benchmarks, Kubernetes’ scalability, and Dapr’s actor model supports feasibility, especially with rigorous tuning and resource allocation.

Condensed Argument with Proof and Logic:

Kubernetes Scalability:
- Evidence: Kubernetes supports up to 5,000 nodes and 150,000 pods per cluster (Kubernetes docs), with real-world examples like PayPal scaling to 4,000 nodes and 200,000 pods (InfoQ, 2023) and KubeEdge managing 100,000 edge nodes and 1 million pods (KubeEdge case studies). OpenAI’s 2,500-node cluster for AI workloads (OpenAI blog, 2022) shows Kubernetes can handle compute-intensive tasks.
- Logic: For 10 million users, a cluster of 5,000–10,000 nodes (e.g., AWS g5 instances with GPUs) can distribute workloads. Each node can run hundreds of pods, and Kubernetes’ horizontal pod autoscaling (HPA) dynamically adjusts to demand. Bottlenecks (e.g., API server, networking) can be mitigated by tuning etcd, using high-performance CNIs like Cilium, and optimizing DNS.
Dapr’s Efficiency for Agentic AI:
- Evidence: Dapr’s actor model supports thousands of virtual actors per CPU core with double-digit millisecond latency (Dapr docs, 2024). Case studies show Dapr handling millions of events, e.g., Tempestive’s IoT platform processing billions of messages (Dapr blog, 2023) and DeFacto’s system managing 3,700 events/second (320 million daily) on Kubernetes with Kafka (Microsoft case study, 2022).
- Logic: Agentic AI relies on stateful, low-latency agents. Dapr Agents, built on the actor model, can represent 10 million users as actors, distributed across a Kubernetes cluster. Dapr’s state management (e.g., Redis) and pub/sub messaging (e.g., Kafka) ensure efficient coordination and resilience, with automatic retries preventing failures. Sharding state stores and message brokers scales to millions of operations/second.
Handling AI Workloads:
- Evidence: LLM inference frameworks like vLLM and TGI serve thousands of requests/second per GPU (vLLM benchmarks, 2024). Kubernetes orchestrates GPU workloads effectively, as seen Kubernetes manages GPU workloads, as seen in NVIDIA’s AI platform scaling to thousands of GPUs (NVIDIA case study, 2023).
- Logic: Assuming each user generates 1 request/second requiring 0.01 GPU, 10 million users need ~100,000 GPUs. Batching, caching, and model parallelism reduce this to a feasible ~10,000–20,000 GPUs, achievable in hyperscale clouds (e.g., AWS). Kubernetes’ resource scheduling ensures optimal GPU utilization.
Networking and Storage:
- Evidence: EMQX on Kubernetes handled 1 million concurrent connections with tuning (EMQX blog, 2024). C10M benchmarks (2013) achieved 10 million connections using optimized stacks. Dapr’s state stores (e.g., Redis) support millions of operations/second (Redis benchmarks, 2024).
- Logic: 10 million connections require ~100–1,000 Gbps bandwidth, supported by modern clouds. High-throughput databases (e.g., CockroachDB) and caching (e.g., Redis Cluster) handle 10 TB of state data for 10 million users (1 KB/user). Kernel bypass (e.g., DPDK) and eBPF-based CNIs (e.g., Cilium) minimize networking latency.
Resilience and Monitoring:
- Evidence: Dapr’s resiliency policies (retries, circuit breakers) and Kubernetes’ self-healing (pod restarts) ensure reliability (Dapr docs, 2024). Dapr’s OpenTelemetry integration scales monitoring for millions of agents (Prometheus case studies, 2023).
- Logic: Real-time metrics (e.g., latency, error rates) and distributed tracing prevent cascading failures. Kubernetes’ liveness probes and Dapr’s workflow engine recover from crashes, ensuring 99.999% uptime.

Feasibility with Constraints:

Challenge: No direct benchmark exists for 10 million concurrent users with Dapr/Kubernetes in an agentic AI context. Infrastructure costs (e.g., $10M–$100M for 10,000 nodes) are prohibitive for low-budget scenarios.
Solution: Use open-source tools (e.g., Minikube, kind) for local testing and cloud credits (e.g., AWS Educate) for students. Simulate 10 million users with tools like Locust on smaller clusters (e.g., 100 nodes), extrapolating results. Optimize Dapr’s actor placement and Kubernetes’ resource quotas to maximize efficiency on limited hardware. Leverage free-tier databases (e.g., MongoDB Atlas) and message brokers (e.g., RabbitMQ).

Conclusion: Kubernetes with Dapr can handle 10 million concurrent users in an agentic AI system, supported by their proven scalability, real-world case studies, and logical extrapolation. For students with minimal budgets, small-scale simulations, open-source tools, and cloud credits make the problem tractable, though production-scale deployment requires hyperscale resources and expertise.

Agentic AI Top Trend of 2025

The Dapr Agentic Cloud Ascent (DACA) Design Pattern Addresses 10 Million AI Agents Challenge

Let’s understand and learn about “Dapr Agentic Cloud Ascent (DACA)”, our winning design pattern for developing and deploying planet scale multi-agent systems.

Executive Summary: Dapr Agentic Cloud Ascent (DACA)

The Dapr Agentic Cloud Ascent (DACA) guide introduces a strategic design pattern for building and deploying sophisticated, scalable, and resilient agentic AI systems. Addressing the complexities of modern AI development, DACA integrates the OpenAI Agents SDK for core agent logic with the Model Context Protocol (MCP) for standardized tool use and the Agent2Agent (A2A) protocol for seamless inter-agent communication, all underpinned by the distributed capabilities of Dapr. Grounded in AI-first and cloud-first principles, DACA promotes the use of stateless, containerized applications deployed on platforms like Azure Container Apps (Serverless Containers) or Kubernetes, enabling efficient scaling from local development to planetary-scale production, potentially leveraging free-tier cloud services and self-hosted LLMs for cost optimization. The pattern emphasizes modularity, context-awareness, and standardized communication, envisioning an Agentia World where diverse AI agents collaborate intelligently. Ultimately, DACA offers a robust, flexible, and cost-effective framework for developers and architects aiming to create complex, cloud-native agentic AI applications that are built for scalability and resilience from the ground up.

Comprehensive Guide to Dapr Agentic Cloud Ascent (DACA) Design Pattern

Target User

Agentic AI Developer and AgentOps Professionals

Why OpenAI Agents SDK should be the main framework for agentic development for most use cases?

Table 1: Comparison of Abstraction Levels in AI Agent Frameworks

Framework	Abstraction Level	Key Characteristics	Learning Curve	Control Level	Simplicity
OpenAI Agents SDK	Minimal	Python-first, core primitives (Agents, Handoffs, Guardrails), direct control	Low	High	High
CrewAI	Moderate	Role-based agents, crews, tasks, focus on collaboration	Low-Medium	Medium	Medium
AutoGen	High	Conversational agents, flexible conversation patterns, human-in-the-loop support	Medium	Medium	Medium
Google ADK	Moderate	Multi-agent hierarchies, Google Cloud integration (Gemini, Vertex AI), rich tool ecosystem, bidirectional streaming	Medium	Medium-High	Medium
LangGraph	Low-Moderate	Graph-based workflows, nodes, edges, explicit state management	Very High	Very High	Low
Dapr Agents	Moderate	Stateful virtual actors, event-driven multi-agent workflows, Kubernetes integration, 50+ data connectors, built-in resiliency	Medium	Medium-High	Medium

The table clearly identifies why OpenAI Agents SDK should be the main framework for agentic development for most use cases:

It excels in simplicity and ease of use, making it the best choice for rapid development and broad accessibility.
It offers high control with minimal abstraction, providing the flexibility needed for agentic development without the complexity of frameworks like LangGraph.
It outperforms most alternatives (CrewAI, AutoGen, Google ADK, Dapr Agents) in balancing usability and power, and while LangGraph offers more control, its complexity makes it less practical for general use.

If your priority is ease of use, flexibility, and quick iteration in agentic development, OpenAI Agents SDK is the clear winner based on the table. However, if your project requires enterprise-scale features (e.g., Dapr Agents) or maximum control for complex workflows (e.g., LangGraph), you might consider those alternatives despite their added complexity.

Core DACA Agentic AI Courses:

AI-201: Fundamentals of Agentic AI and DACA AI-First Development (14 weeks)

⁠Agentic & DACA Theory - 1 week
UV & ⁠OpenAI Agents SDK - 5 weeks
⁠Agentic Design Patterns - 2 weeks
⁠Memory [LangMem & mem0] 1 week
Postgres/Redis (Managed Cloud) - 1 week
FastAPI (Basic) - 2 weeks
⁠Containerization (Rancher Desktop) - 1 week
Hugging Face Docker Spaces - 1 week

AI-201 Video Playlist

Note: These videos are for additional learning, and do not cover all the material taught in the onsite classes.

Prerequisite: Successful completion of AI-101: Modern AI Python Programming - Your Launchpad into Intelligent Systems

AI-202: DACA Cloud-First Agentic AI Development (14 weeks)

Rancher Desktop with Local Kubernetes - 4 weeks
Advanced FastAPI with Kubernetes - 2 weeks
Dapr [workflows, state, pubsub, secrets] - 3 Week
CockRoachdb & RabbitMQ Managed Services - 2 weeks
⁠Model Context Protocol - 2 weeks
⁠Serverless Containers Deployment (ACA) - 2 weeks

Prerequisite: Successful completion of AI-201

AI-301 DACA Planet-Scale Distributed AI Agents (14 Weeks)

⁠Certified Kubernetes Application Developer (CKAD) - 4 weeks
⁠A2A Protocol - 2 weeks
⁠Voice Agents - 2 weeks
⁠Dapr Agents/Google ADK - 2 weeks
⁠Self-LLMs Hosting - 1 week
Finetuning LLMs - 3 weeks

Prerequisite: Successful completion of AI-201 & AI-202

Evaluations

Quizzes + Hackathons (Everything is Onsite)

Advanced Modern Python (including asyncio) [Q1]
OpenAI Agents SDK (48 MCQ in 2 hour) [01_ai_agents_first]
Protocols & Design Patterns (A2A and MCP) [05_ai_protocols]
Hackathon1 - 8 Hours (Using Above Quiz Stack)
Containerization + FastAPI [05_daca_agent_native_dev = 01 + 02 ]
Kubernetes (Rancher Desktop) [Stimulations] [05_daca_agent_native_dev = 02 ]
Dapr-1 - State, PubSub, Bindings, Invocation [05_daca_agent_native_dev = 03 ]
Dapr-2 - Workflows, Virtual Actors [04_agent_native = 04, 05, 06]
Hackathon2 - 8 Hours (Agent Native Startup)
CKAD + DAPR + ArgoCD (Simulations) [06_daca_deployment_guide + 07_ckad]

Quiz Details

Fundamentals of Agentic AI Quiz

Total Questions: 48 MCQs

Duration: 120 Minutes

Difficulty Level: Intermediate or Advanced (NOT beginner-level)

Quiz Preparation Playlist

This is a well-constructed, comprehensive quiz that accurately tests deep knowledge of the OpenAI Agents SDK. However, it’s significantly more challenging than typical beginner-level assessments.

Difficulty Level for Beginners

The quiz is challenging for beginners due to the following factors:

Technical Depth: Questions require understanding the OpenAI Agents SDK’s architecture (e.g., Agents, Tools, Handoffs, Runner), Pydantic models, async programming, and prompt engineering. These are advanced topics for someone new to AI or Python.
Conceptual Complexity: Topics like dynamic instructions, context management, error handling, and Chain-of-Thought prompting require familiarity with both theoretical and practical aspects of agentic AI.
Code Analysis: Many questions involve analyzing code snippets, understanding execution paths, and predicting outcomes, which demand strong Python and debugging skills. Domain Knowledge: Questions on Markdown are simpler, but the majority focus on niche SDK features, making the quiz specialized.
Beginner Challenges: Beginners (e.g., those with basic Python knowledge and minimal AI experience) would struggle with SDK-specific concepts like Runner.run_sync, tool_choice, and Pydantic validation, as well as async programming and multi-agent workflows.
Difficulty Rating: Advanced (not beginner-friendly). Beginners would need foundational knowledge in Python, async programming, and LLMs, plus specific training on the OpenAI Agents SDK to perform well.

To excel in this quiz, focus on understanding the core components and philosophy of the OpenAI Agents SDK, such as its “Python-first” design for orchestration, the roles of Agents and Tools, and how primitives like “Handoffs” facilitate multi-agent collaboration. Pay close attention to how the SDK manages the agent loop, handles tool calls and Pydantic models for typed inputs/outputs, and uses context objects. Review concepts like dynamic instructions, agent cloning, error handling during tool execution, and the nuances of Runner.run_sync() versus streaming. Additionally, refresh your knowledge of prompt engineering techniques, including crafting clear instructions, guiding the agent’s reasoning (e.g., Chain-of-Thought), and managing sensitive data through persona and careful prompting. Finally, ensure you’re comfortable with basic Markdown syntax for links and images.

Preparation Guide for Beginner Students

This OpenAI Agents SDK quiz is designed for intermediate to advanced learners and requires substantial preparation to succeed. Before attempting this assessment, ensure you have a solid foundation in Python programming, including object-oriented concepts, async/await patterns, decorators, and error handling. You’ll need to thoroughly study Pydantic models for data validation, understanding field definitions, default values, and validation behavior. Dedicate significant time to the OpenAI Agents SDK documentation (https://openai.github.io/openai-agents-python/), focusing on core concepts like Agents, Tools, Handoffs, context management, and the agent execution loop. Practice writing and analyzing code that uses the @function_tool decorator, Runner.run_sync(), agent cloning, and multi-agent orchestration patterns. Review prompt engineering techniques from the OpenAI cookbook, particularly Chain-of-Thought prompting, system message design, and handling sensitive data. Finally, familiarize yourself with basic Markdown syntax for links and images. Plan to spend at least 2-3 weeks studying these materials, complete hands-on coding exercises with the SDK. Consider this quiz a capstone assessment that requires comprehensive understanding rather than a beginner-level introduction to the concepts.

Quiz Covers:

https://openai.github.io/openai-agents-python/

https://cookbook.openai.com/examples/gpt4-1_prompting_guide

https://www.markdownguide.org/basic-syntax/

https://www.markdownguide.org/cheat-sheet/

https://github.com/panaversity/learn-agentic-ai/tree/main/01_ai_agents_first

You Can Generate Mock Quizzes for Practice using LLMs from this Prompt:

Create a comprehensive quiz covering OpenAI Agents SDK. It should include as many MCQ Quiz Questions as required to test the material, the questions should be difficult and at the graduate level and should test both concepts and include code were required. From the following following documentation:

https://openai.github.io/openai-agents-python/

Product Hunt Daily | 2025-03-28

Fri, 28 Mar 2025 07:26:59 +0000

1. SimplAI

Tagline: The simplest and fastest way to build and deploy Agentic AI
Description: A single platform for building, deploying, and managing Agentic AI in any environment - on-prem, cloud, or hybrid. It provides robust governance, security, and scalability, so you can launch AI applications simpler and faster.
Website: open
Product Hunt: View on Product Hunt

Keyword: Agentic AI, AI Platform, AI Deployment, AI Management, Simple AI, Fast AI, AI Governance, AI Security, AI Scalability, On-prem AI, Cloud AI, Hybrid AI
VotesCount: 🔺819
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

2. Stripo Email Design Platform

Tagline: AI, teamwork, and a new era of email design
Description: Stripo leveled up! Our brand-new editor introduces AI Hub, real-time co-editing, commenting, and more—giving teams a seamless workflow for email creation. Whether you’re a marketer, designer, or enterprise team, collaborate and create emails faster than ever!
Website: open
Product Hunt: View on Product Hunt

Keyword: Email design, email editor, AI email design, email collaboration, teamwork email, email marketing, Stripo, co-editing emails, email template, responsive email
VotesCount: 🔺774
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

3. Scene 2.0 - Modular AI Web Builder

Tagline: The smart way to build websites
Description: Scene is redefining the way modern websites are created—enabling designers and agency teams to ideate, build, and publish websites from a single canvas, with AI empowering their ideation process without limiting customization or creativity.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI Website Builder, Modular Website Builder, AI Web Design, Website Design Tool, Scene 2.0, Webflow Alternative, AI-Powered Website, No-Code Website Builder, Website Builder Software
VotesCount: 🔺499
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

4. ActionKit

Tagline: Instantly add 1000+ integration actions to your AI agent
Description: With a single API call, ActionKit (by Paragon) equips your product’s AI agents with 1000+ integration actions across CRMs, ticketing platforms, email, Slack, and more. Paragon is trusted by enterprise AI companies like AI21, You.com, and Copy.ai.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI integrations, ActionKit, Paragon, AI agent actions, API integrations, CRM integrations, Slack integrations, AI tools, Enterprise AI
VotesCount: 🔺477
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

5. Kilo Code for VS Code

Tagline: Lightning speed autonomous AI coding agent
Description: Kilo AI is an AI-powered extension for VS Code which writes, fixes and improves your code through simple chat. Tuned with the fastest models we could find, it can create and modify files, run command line prompts, and much more.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI coding, VS Code extension, AI pair programmer, autonomous coding, code generation, code completion, code improvement, code fix, AI coding assistant, Kilo AI
VotesCount: 🔺450
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

6. Moio

Tagline: The future app builder for designers
Description: Moio is a design tool that allows designers to build functional product design, not just static images. Design and test real user flows, eliminate the gap between mockups and final products, and streamline your product development process.
Website: open
Product Hunt: View on Product Hunt

Keyword: app builder, design tool, prototyping, UX design, UI design, product design, user flow, mockup, wireframing, interactive design, design software, no-code, low-code
VotesCount: 🔺441
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

7. Redactable

Tagline: Protect your sensitive data in documents before sharing them
Description: Redactable uses AI to find and permanently remove sensitive information from documents—unlike traditional methods that leave data vulnerable to bad actors. Save 98% of time while ensuring protection across legal, healthcare, and financial sectors.
Website: open
Product Hunt: View on Product Hunt

Keyword: Data Redaction, AI Redaction, Document Redaction, Sensitive Data Protection, Data Security, Privacy, Legal Tech, Healthcare Tech, FinTech, Time Saving Software, AI Software
VotesCount: 🔺400
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

8. Docko

Tagline: Your virtual pet in your macOS dock
Description: Your virtual pet in your macOS Dock
Website: open
Product Hunt: View on Product Hunt

Keyword: macOS, virtual pet, dock pet, Docko, Mac app, desktop pet
VotesCount: 🔺295
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

9. Atono

Tagline: Plan, build, run, and improve your product in one place
Description: Atono is an all-in-one platform for agile, cross-functional teams building web apps. Get essential features like roadmapping, story writing, feature flagging, bug reporting, and usage tracking to plan, build, run, and improve your product – all in one place.
Website: open
Product Hunt: View on Product Hunt

Keyword: Product Management, Agile, Roadmapping, Feature Flagging, Bug Tracking, Web App Development, Product Development, Software Development, Cross-functional Teams, Atono
VotesCount: 🔺200
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

10. EmemeAI

Tagline: Create & Export AI characters to apps and games
Description: Bring your AI character to life♡ Without code, You can create 3D chat AI characters, and connect them to external apps, social media, metaverse and games to use as AI-NPCs. They generate not only chat, but also voices and animations. It’s free.
Website: open
Product Hunt: View on Product Hunt

Keyword: AI character creator, AI NPC, 3D chat AI, AI animation, Metaverse AI, Game AI, AI voice, no-code AI, free AI tools
VotesCount: 🔺188
Featured: Yes
CreatedAt: 2025-03-27 07:01 AM (UTC)

Agentic AI on Producthunt daily

Product Hunt Daily | 2025-09-11

1. Genstore.ai

2. Latitude 2.0

3. Incredible Small 1.0 by Incredible

4. BuildKit 2.0

5. Seedream 4.0

6. 10X PPC

7. YC Companies Map

8. Hudson Labs

9. Tellers

10. Modal Notebooks

Product Hunt Daily | 2025-07-22

1. Jeeva 2.0

2. Levio by Jupitrr AI

3. Trae 2.0

4. the gist of

5. Krepling Pay

6. Stakpak.dev

7. sampleapp.ai

8. Refgrow

9. Veo 3 API

10. Brainfork

agents

ed-donner/agents

Master AI Agentic Engineering - build autonomous AI Agents

6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP

Before you begin

The not-so-dreaded setup instructions

Important notes for CrewAI week (Week 3)

Super useful resources

API costs - please read me!

ABOVE ALL ELSE -

learn-agentic-ai

panaversity/learn-agentic-ai

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: From Start to Scale

This Panaversity Initiative Tackles the Critical Challenge:

The Dapr Agentic Cloud Ascent (DACA) Design Pattern Addresses 10 Million AI Agents Challenge

Executive Summary: Dapr Agentic Cloud Ascent (DACA)

Target User

Why OpenAI Agents SDK should be the main framework for agentic development for most use cases?

Core DACA Agentic AI Courses:

AI-201: Fundamentals of Agentic AI and DACA AI-First Development (14 weeks)

AI-202: DACA Cloud-First Agentic AI Development (14 weeks)

AI-301 DACA Planet-Scale Distributed AI Agents (14 Weeks)

Evaluations

Quiz Details

Fundamentals of Agentic AI Quiz

Product Hunt Daily | 2025-03-28

1. SimplAI

2. Stripo Email Design Platform

3. Scene 2.0 - Modular AI Web Builder

4. ActionKit

5. Kilo Code for VS Code

6. Moio

7. Redactable

8. Docko

9. Atono

10. EmemeAI