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Agentic AI Tools in Action
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Agentic AI Tools in Action

07 May Online

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Build, deploy, & scale AI agents in real w*orkflows*, not just theory.

This multi-session webinar blends strategic context, live engineering demos, and applied enterprise use cases to show how agentic workflows are designed, deployed, and operated in the real world.

By the end of the workshop, participants will understand how to architect, build, and evaluate agentic AI workflows that integrate with real tools, services, and infrastructure — skills directly applicable to modern production environments.

What you'll learn

  • How to design agentic workflows that interact with real tools and APIs
  • How AI agents change the way software gets built
  • Where agents break—and how to work around limitations
  • How to evaluate tools like MindStudio for real-world use
  • Patterns for integrating agents into existing systems and processes

Session Highlights

2:00 PM ET
The AI Imperative​: Competitive Pressure Meets Implementation Reality​
A strategic, high‑level exploration of what this moment truly demands from leaders. This session frames AI as a structural transformation that spans strategy, operating models, governance, and value creation.
Hosted by: Wade Erickson & Richard Taubin (Motion Consulting Group, a Kelly Company)

2:15 PM ET
Modernizing Enterprise Systems with Agentic AI
Explore how organizations are integrating AI agents into existing systems to automate workflows, reduce manual overhead, and unlock new efficiencies—without starting from scratch.
Hosted by: Amit Tank (Kelly Science, Engineering, Technology & Telecom)

2:45 PM ET
The Future of Programming: Building with AI Agents
AI agents are rapidly changing how software gets built. This session explores this shift, using Remy by MindStudio as a lens into what programming looks like in an agent-driven world. We’ll cover how agents are reshaping development workflows, where they fall short, and what comes next for builders and teams.
Hosted by: Dmitry Shapiro (MindStudio)

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DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

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Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

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