In this episode of AgenticFirst World we speak to Avinash Dwivedi, Co-founder and CTO of DocPoc. DocPoc is a new-age clinic management software with Agentic AI at its core, built to simplify operations for small and micro clinics. It is revolutionizing the digitization of Indian healthcare with AI automation and agentic flow.

Avnish shares how DocPoc is helping mini and micro clinics digitize their operations and go beyond by offering automated medicine reminders, personalized health tips, and a secure, encrypted health vault that keeps patients’ information at their fingertips.

#clinics #doctors #aiagents #agenticai #hospitals

In this episode of AgenticFirst World, host Manab Boruah sits down with David, the founder and CEO of Groas.ai, to explore the innovative world of AI-driven Google Ads. Discover how Groas is revolutionizing ad campaigns by automating the creation of conversion-driven ads and landing pages tailored to every search term. Whether you're a marketing professional looking to streamline your Google Ads or a developer curious about building AI agents, this episode offers valuable insights into the future of digital advertising. Tune in to learn about the challenges and triumphs of building a bootstrapped AI company and the exciting potential of AI in marketing.

Get Your Free No-Code AI Agent for Customer Service: Kommunicate AI Agents for Omnichannel Support

Chapters:

• 00:00:00 Introduction to Groas and AI in Marketing
• 00:05:00 David's Background and Groas's Evolution
• 00:10:00 Dynamic Landing Pages and Conversion Rates
• 00:15:00 Challenges in Ad Copy and Campaign Management
• 00:20:00 Pricing, Targeting, and User Feedback
• 00:25:00 Advice for Aspiring AI Developers
• 00:30:00 Organic Growth and Future Plans

Summary

In this episode of AgenticFirst World, host Manab Boruah speaks with Subhakar Tikkireddy, CEO of TheMoonDevs and Microfox, about the evolving landscape of AI agents, focusing on Google's Agent-to-Agent (A2A) protocol and its implications for the future of AI communication.

Subhakar shares his journey from a tech advisor to a developer, discussing the challenges and opportunities in building specialized AI agents.

The conversation delves into the importance of communication between agents, the role of small language models, and the potential for automation in software development.

Subhakar emphasizes the need for a robust tool-searching layer to enhance AI capabilities and offers insights into the future of AI agents in various industries.

Key Takeaways

• Google's A2A protocol aims to enhance communication between AI agents.
• MCPs are currently more widely adopted than A2A protocols.
• Specialized agents can perform tasks more efficiently than generalist models.
• The cost of AI agents poses a barrier to widespread adoption.
• Real-world applications of A2A are still in early development stages.
• Small language models (SLMs) are becoming more capable and accessible.
• Communication is crucial for the growth of AI agents' knowledge.
• Prompt design remains a significant challenge in AI development.
• The future of AI agents will depend on their ability to solve real-world problems.

Connect with Shubhakr

• Open Source Repo - https://github.com/microfox-ai/microfox
• The Web app - https://microfox.app/
• TheMoomDevs Studio - https://themoondevs.com/
• Subhakar's Linkedin - https://linkedin.com/in/s-t-r

Timestamp

00:00 Introduction to AI Agents and Subhakar's Journey

02:31 Understanding Google's A2A Protocol

05:18 MCP vs A2A: The Future of AI Communication

08:10 The Role of Specifications in AI Development

11:04 The Rise of Specialized AI Agents

14:18 Challenges in Real-World AI Agent Deployment

17:12 The Future of Small Language Models

19:53 The Importance of Communication in AI

22:59 The Impact of AI on Software Development

30:35 The Shift in Developer Roles

32:29 The Need for Practical Training in Software Development

34:45 Automation in Software Development

37:55 Building Specialized Coding Agents

40:08 Challenges in Current AI Coding Agents

44:56 The Future of AI Agents and Hallucinations

48:37 Multi-Agent Systems in Software Engineering

51:58 Rapid Fire Insights on AI Agents

In this episode of AgenticFirst World, Ash Ahmed, founder of Axal, discusses the concept of verifiable agents and their application in the world of blockchain and AI.

Ash explains how Axal is leveraging these agents to automate yield farming and provide users with guarantees on their financial transactions.

The conversation delves into the evolution of agentic systems, the challenges of building verifiable agents, and the future of AI in automating tasks.

Ash emphasizes the importance of governance and user control in agentic systems, while also addressing the potential impact of these technologies on markets and institutions.

The episode concludes with a rapid-fire round of questions, highlighting Ash's insights on the current state and future of AI agents.

Key takeaways

• Verifiable agents provide guarantees in financial transactions.
• Automation in agentic AI is still in its early stages.
• Yield farming is a primary use case for verifiable agents.
• Governance of agents should be defined by users.
• The future of AI agents lies in their ability to reason and make decisions.
• Building verifiable agents involves significant technical challenges.
• The crypto space offers unique opportunities for innovation.
• User control is essential in managing agentic systems.
• The combination of blockchain and AI is a powerful innovation.
• The landscape of agentic systems is rapidly evolving.

00:00 Introduction to Agentic Systems and AI Agents

02:24 Understanding Verifiable Agents and Their Applications

07:22 Distinguishing Agentic Systems from Traditional Automation

13:08 The Future of AI Agents and Reasoning

18:33 Building Robust AI Agents and Design Challenges

20:26 Autonomy vs Control in AI Agents

22:40 Building Verifiable Tools in Crypto

25:44 Governance and User Control of Agents

28:13 Navigating Legalities in Crypto

31:01 The Future of AI Agents

33:53 Impact of Verifiable Agents on Work Markets

37:10 Rapid Fire Insights on AI Agents

This podcast is brought to you by AgenticFirst, the fastest way to build and deploy AI agents.

In this episode of AgenticFirst World, we speak to Kamalraj, also known as Insight Builder, about the evolving landscape of AI agents, particularly focusing on MCP servers and their implications for developers. Kamalraj shares his journey from mechanical engineering to AI development, emphasizing the importance of open-source contributions and community building.

The conversation delves into the differences between agentic systems and traditional workflow systems, the future of user interfaces in AI, and practical advice for aspiring developers.

Kamalraj also discusses the challenges and opportunities in the freelancing market for AI solutions, and the significance of foundational knowledge in programming.

Takeaways

• Kamalraj transitioned from mechanical engineering to AI development due to his passion for problem-solving.
• MCP servers simplify the integration of tools across different frameworks.
• Open-source contributions foster community and collaboration among developers.
• Understanding the basics of Python is crucial before diving into AI.
• Agentic systems allow for more flexible and dynamic interactions compared to traditional workflows.
• Freelancing in AI often involves orchestrating workflows rather than solving complex problems.
• The future of user interfaces may shift towards natural language interfaces, removing the need for traditional browsers.
• Kamalraj emphasizes the importance of typing code to learn effectively, rather than copy-pasting.
• Building a strong foundation in programming helps in modifying and understanding code better.
• Reading foundational texts, like those by Isaac Asimov, can inspire and inform one's journey in technology.

Chapters

(00:00) Introduction to AI Agents and Kamalraj's Journey

(05:11) Understanding MCP Servers and Their Importance

(10:08) Agent to Agent Protocol: A New Perspective

(15:06) Building AI Agents: Tools and Frameworks

(20:05) Freelancing and Real-World Applications of AI Agents

(24:42) The Limitations of No-Code Tools

(25:12) Open Source Contributions and Community Impact

(25:42) Exploring Vibe Coding and Its Tools

(26:40) Building Applications with Free Tools

(27:41) The Importance of Checkpointing in Development

(28:46) The Role of Non-Developers in Coding

(29:44) The Future of Agentic AI

(29:56) Distinguishing Between Agentic and Workflow Systems

30:43 The Shift from GUI to Natural Language Interfaces (NLI)

31:44 Rapid Fire Insights on Coding

34:45 Advice for Aspiring Developers

Kamlraj's YouTube channel: https://www.youtube.com/@insightbuilder

GitHub Repo: https://github.com/Kamalabot

Kamalraj's email: [email protected]

Dive into the exciting frontier of Building AI Agents.

Discover how these autonomous software systems are transforming software engineering by perceiving their environment, making decisions, and taking actions to achieve specific goals. Learn about the core technologies behind them, including Large Language Models (LLMs) and Vector Databases, as well as popular frameworks like LangChain and Microsoft AutoGen.

Understanding how to build effective AI agents is becoming an essential skill in the modern developer's toolkit.