Build Your Own Autonomous AI Assistant

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Next live session

Wed, Mar 11 · 4:00 PM - 5:30 PM UTC

Build Your Own Autonomous AI Assistant training cover image

With Michael Shimeles

What You'll Learn

Topic 1

Understand how OpenClaw thinks and takes action

Learn how tasks, memory, tools, and prompts combine to produce real execution, not just text replies.

Topic 2

Set up and deploy OpenClaw in real environments

Install, host, configure, and structure agents so they run reliably inside your stack.

Topic 3

Connect agents to messaging, APIs, and workflows

Integrate email, calendars, CRMs, and chat apps into automated task flows.

Topic 4

Make your agents more reliable over time

Use feedback, testing, and prompt refinement to increase accuracy and reduce errors.

Topic 5

Manage risk when agents have real access

Design monitoring, permission controls, and privacy safeguards for high-trust systems.

Topic 1

Understand how OpenClaw thinks and takes action

Learn how tasks, memory, tools, and prompts combine to produce real execution, not just text replies.

Topic 2

Set up and deploy OpenClaw in real environments

Install, host, configure, and structure agents so they run reliably inside your stack.

Topic 3

Connect agents to messaging, APIs, and workflows

Integrate email, calendars, CRMs, and chat apps into automated task flows.

Topic 4

Make your agents more reliable over time

Use feedback, testing, and prompt refinement to increase accuracy and reduce errors.

Rundown Training Experience

Live instructor sessions

Get real-time guidance and specific feedback so you can apply what you learn immediately.

Access to recordings

Review every session on your own schedule so nothing gets lost.

Community of peers

Work alongside other operators and get fast answers when you hit friction.

Templates & resources

Access proven tools and frameworks you can put to work right away.

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Schedule Training Program

Session 1Starts in 6d 0h

Wed, Mar 11 · 4:00 PM - 5:30 PM UTC

Session 1: Understanding OpenClaw mental models

Enrollees only

Session plan

A conceptual deep dive into how OpenClaw agents reason, decide, and act.

Agent loops, memory, and tool interfaces
How prompts shape decision flows
Sources of unpredictability and how to control them
How OpenClaw differs from chat-only bots

Session 2Upcoming

Wed, Mar 18 · 4:00 PM - 5:30 PM UTC

Session 2: OpenClaw setup and integration

Enrollees only

Session plan

A hands-on build session where you configure and connect a working agent.

Installing, hosting, and configuring OpenClaw
Writing reliable prompt templates
Connecting tools such as email, calendar, CRM, and databases
Embedding agents into real workflows

Session 3Upcoming

Wed, Mar 25 · 4:00 PM - 5:30 PM UTC

Session 3: Recursive improvement and governance

Enrollees only

Session plan

Design systems that make your agents safer, more reliable, and better over time.

Feedback loops and performance metrics
Iterative prompt refinement
Monitoring and error handling
Privacy, safety, and access guardrails

Session 1Starts in 6d 0h

Wed, Mar 11 · 4:00 PM - 5:30 PM UTC

Session 1: Understanding OpenClaw mental models

Enrollees only

Session plan

A conceptual deep dive into how OpenClaw agents reason, decide, and act.

Agent loops, memory, and tool interfaces
How prompts shape decision flows
Sources of unpredictability and how to control them
How OpenClaw differs from chat-only bots

Session 2Upcoming

Wed, Mar 18 · 4:00 PM - 5:30 PM UTC

Session 2: OpenClaw setup and integration

Enrollees only

Session plan

A hands-on build session where you configure and connect a working agent.

Installing, hosting, and configuring OpenClaw
Writing reliable prompt templates
Connecting tools such as email, calendar, CRM, and databases
Embedding agents into real workflows

Session 3Upcoming

Wed, Mar 25 · 4:00 PM - 5:30 PM UTC

Session 3: Recursive improvement and governance

Enrollees only

Session plan

Design systems that make your agents safer, more reliable, and better over time.

Feedback loops and performance metrics
Iterative prompt refinement
Monitoring and error handling
Privacy, safety, and access guardrails

About the Instructor

Michael Shimeles

DevX Engineer @ Convex

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Michael Shimeles is a Toronto-based full-stack engineer and AI builder. He has experience building real automation systems and agent-oriented tooling. Michael focuses on mental models, practical prompt strategy, and agent orchestration so builders can move beyond experimentation to systems that work reliably.

You’ll learn from his direct experience integrating agents like OpenClaw into workflows and architecting recursive improvement structures.

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