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Personal AI Agents — LIVE
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Personal AI Agents — LIVE

21 July Online

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About this event

This Event has Free and Paid Passes.
Pre-Registration is REQUIRED. RSVP here - https://luma.com/odsc-9s47

AI agents are no longer a prototype. They're in production, running workflows, and changing how people actually work — and the people building them are here to show you how.

Hands-On with the Personal AI Agent Stack: OpenClaw, NeoClaw, Claude Cowork, and More

A focused virtual event on how personal AI systems are changing the way we work. Join practitioners, builders, and technical leaders to explore AI assistants, agentic workflows, personal context, trust, and the future of software interfaces.

How Personal AI Agents Work
A Personal AI Agent sits between you, your tools, and your context — orchestrating intent, action, and memory with human review in the loop.

Topics We'll Explore
- Personal AI assistants
How assistants are moving from search and chat toward action, memory, context, and task execution.

- AI-first interfaces
Why the future of software may involve fewer dashboards and more conversational, adaptive interfaces.

- Context and trust
How personal AI systems can safely access the right tools, data, and workflows without creating unnecessary risk.

- Agents at work
Where agentic workflows create real value, and where human review, governance, and boundaries still matter.

Featured Speakers
- Paige Bailey\, DevRel Lead\, GenAI at Google
- Brendan O'Leary\, Developer Relations Engineer | Kilo
- Brian Turcotte\, Developer Relations Engineer | Kilo
- Shikhar Kwatra\, Head of Partner AI Deployment Engineering\, AMER — OpenAI
- Ashish Bhatia\, Senior Product Manager — Audible (Amazon)
- Gigi Sayfan\, Member of Technical Staff — Perplexity
- Sheamus McGovern\, Founder of ODSC\, Head of AI & VP — Cortical Ventures

More coming soon - https://luma.com/odsc-9s47

Sample Schedule
A hands-on day on July 21, from 12 PM to 5 PM EST.

Who It's For

  • AI practitioners and technical builders
  • Product leaders thinking about AI-native experiences
  • Business and innovation leaders tracking the future of work
  • Anyone exploring assistants, agents, and personal AI systems

What You'll Leave With

  • A clearer view of where personal AI is creating real value
  • Examples of how these systems are being designed and deployed
  • A better understanding of the tradeoffs around trust and control
  • Ideas you can bring back to your own products and workflows

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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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