Ken Sipe

Optimize Your Work and Life with Your Own AI Agent

A practical guide to deploying a personal AI that actually runs things for you

8:00 PM MDT

AI agents are not just for developers. They are personal operating systems for your professional and personal life. In this session, Ken shares what it actually looks like to live and work with a personal AI agent — from morning briefs to travel ops to speaking pipeline automation — and provides a practical framework you can start deploying the same week.

Everyone talks about AI. Fewer people show what it looks like to actually live with one.

In this session, Ken shares his real-world deployment of a personal AI agent that runs across his work, speaking career, and personal life. This is not a demo of ChatGPT prompts. This is an operating model — built incrementally over time — that handles morning briefings, calendar privacy bridges, travel logistics, speaking pipeline automation, secure vault retrieval, relationship nudges, and nightly content creation while he sleeps.

The session covers a four-stage framework: Build (what your agent knows), Trust (the autonomy ramp), Delegate (what to hand off first), and Compound (where the real leverage comes from).

Attendees will see live or recorded demonstrations of real workflows, including:

• Morning brief: email triage, calendar alerts, priority surfacing
• Speaking pipeline: CFP tracking, abstract generation, deck outlining
• Travel ops: auto-detecting conference trips, fare watching, booking checklists, TripIt and Expensify forwarding
• Personal-to-work calendar bridge: privacy-safe OOO blocking without exposing personal details
• Secure vault: on-demand retrieval of travel IDs and sensitive data with a sudo-style auth challenge
• Nightly content forge: agent builds artifacts while you sleep

We also cover safety and trust design — how to define what your agent can do autonomously versus what requires your approval — and how to build a context-rich memory system that makes the agent genuinely useful over time.

Outcomes:

• A mental model for deploying your own agent at any level of technical skill
• A starter list of high-ROI automations to implement this week
• A realistic view of trust, safety, and control for autonomous AI systems
• Inspiration to stop using AI occasionally and start using it continuously

Note: This talk is best when delivered with live demonstrations. Ken runs this system daily and can demo real workflows in real time. No slides required for the demo sections — the agent speaks for itself.

Architectural Principles: Building the Foundations of Design Excellence

9:00 AM MDT

In the realm of architecture, principles form the bedrock upon which innovative and enduring designs are crafted. This presentation delves into the core architectural principles that guide the creation of structures both functional and aesthetic. Exploring concepts such as balance, proportion, harmony, and sustainability, attendees will gain profound insights into the art and science of architectural design. Through real-world examples and practical applications, this session illuminates the transformative power of adhering to these principles, shaping not only buildings but entire environments. Join us as we unravel the secrets behind architectural mastery and the principles that define architectural brilliance.

Good architectural principles are fundamental guidelines or rules that inform the design and development of software systems, ensuring they are scalable, maintainable, and adaptable. Here are some key architectural principles that are generally considered valuable in software development:

• Modularity
• Simplicity
• Scalability
• Flexibility
• Reusability
• Maintainability
• Performance
• Security
• Testability
• Consistency
• Interoperability
• Evolutionary Design

Adhering to these architectural principles can lead to the development of robust, maintainable, and adaptable software systems that meet the needs of users and stakeholders effectively.

Operationalizing AI: From Prototype to Production

11:00 AM MDT

Building an AI model is the easy part—making it work reliably in production is where the real engineering begins. In this fast-paced, experience-driven session, Ken explores the architecture, patterns, and practices behind operationalizing AI at scale. Drawing from real-world lessons and enterprise implementations, Ken will demystify the complex intersection of machine learning, DevOps, and data engineering, showing how modern organizations bring AI from the lab into mission-critical systems.

Attendees will learn how to:

Design production-ready AI pipelines that are testable, observable, and maintainable

Integrate model deployment, monitoring, and feedback loops using MLOps best practices

Avoid common pitfalls in scaling, governance, and model drift management

Leverage automation to reduce friction between data science and engineering teams

Whether you’re a software architect, developer, or engineering leader, this session will give you a clear roadmap for turning AI innovation into operational excellence—with the same pragmatic, architecture-first perspective that Ken is known for.

Incident Command for Engineering Leaders

How high-performing teams run calm, fast, blameless incident response

1:30 PM MDT

Most teams treat incidents as technical failures. Great teams treat them as coordination failures under stress. This session gives engineering leaders a practical incident command system they can apply immediately: roles, communication cadence, decision logging, escalation paths, and postmortems that create learning instead of fear.

When incidents hit, technology matters — but leadership determines outcomes. This session walks through an operating model for incident response that scales across teams and time zones without chaos.

We cover clear roles (incident commander, comms lead, operations lead, and scribe), fast status loops, and decision frameworks that lower risk under pressure. You’ll see practical templates for timeline capture, stakeholder communication, and recovery prioritization.

We also cover the most ignored part: after-action learning. You’ll leave with a blameless postmortem structure that improves systems, process, and team behavior instead of assigning guilt.

Includes realistic scenarios, facilitation techniques for cross-functional pressure moments, and a leadership checklist you can use in your next production incident.

Outcomes:

• Reduce time-to-understand and time-to-recover
• Communicate clearly with executives and customers
• Build operational maturity without blame culture
• Replace panic theater with dependable response habits

No panic theater. Just practical leadership patterns that work when production is on fire and Slack has gone feral.

The Operating Limits of Microservices

Borrowing from nuclear operations to define safe software boundaries

3:15 PM MDT

Reliable systems are not accidents. They are designed with explicit operating limits. This session translates lessons from high-risk domains into practical engineering guardrails for microservices: latency budgets, timeout strategy, retry discipline, concurrency limits, and blast-radius controls.

In high-consequence systems, teams define and respect operating limits. Software teams should do the same.

This session introduces an operating-limits model for modern microservices and platform environments. We’ll map common failure patterns (retry storms, cascading timeouts, queue overload, dependency fan-out) to concrete design and operational constraints that prevent small issues from becoming full incidents.

You’ll learn practical techniques for timeout layering, bulkheads, error budgets, load shedding, progressive degradation, and observability signals that reveal approaching limits before customers feel impact.

We’ll also cover leadership practices: how to align teams around reliability contracts and how to enforce guardrails without turning architecture into bureaucracy.

Outcomes:

• Define service-level operating envelopes
• Reduce cascading failures in distributed systems
• Improve incident prevention with better guardrails
• Balance delivery speed with reliability discipline

Yes, we will talk about when your retries are lying to you. And no, adding one more queue is not always the answer.

Navigating the Cloud as a Cloud Architect

8:30 AM MDT

In the age of digital transformation, Cloud Architects emerge as architects of the virtual realm, bridging innovation with infrastructure. This presentation offers a comprehensive exploration of the Cloud Architect's pivotal role.

Delving into cloud computing models, architecture design, and best practices, attendees will gain insights into harnessing the power of cloud technologies. From optimizing scalability and ensuring security to enhancing efficiency and reducing costs, this session unravels the strategic decisions and technical expertise that define a Cloud Architect's journey. Join us as we decode the nuances of cloud architecture, illustrating its transformative impact on businesses in the modern era.