Turn Claude Code into a team capability.

Hands-on training for teams ready to move beyond isolated prompts—and use AI coding agents to understand systems, ship changes, and build repeatable engineering workflows.

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Jerel Velarde, enterprise AI adoption trainer and applied AI engineer — Enterprise AI adoption trainerCebu / Worldwide

CopilotKitStaff Applied AI Engineer

10×Google Developer Group speaker

AuthorBuilder’s Guide to Agentic Applications

4×San Francisco hackathon winner

01 / The opportunity

AI access is easy.
Team adoption isn’t.

Your team can open Claude Code today. But reliable adoption needs more than access: shared workflows, thoughtful context, verification habits, and clear boundaries for what agents should—and should not—do.

This training turns individual experimentation into a practical, repeatable team practice.

02 / What the team learns

From first prompt
to verified change.

Understand the codebase

Use Claude Code to map unfamiliar systems, trace behavior, and find the right place to make a change.

Plan before editing

Turn a vague request into a scoped implementation plan with assumptions, risks, and a clear definition of done.

Build with verification loops

Pair agentic implementation with diffs, tests, linting, and deliberate human review.

Create team conventions

Establish reusable instructions, prompt patterns, permissions, and guardrails that fit your organization.

03 / Flexible formats

Meet the team
where they are.

Every engagement starts with your goals, codebase, and current level of AI adoption.

60–90 min

Executive briefing

A shared mental model for leaders deciding how Claude Code fits into the team’s operating system.

Half day

Hands-on workshop

Live demos and guided exercises that move from codebase orientation to a verified change.

1–2 days

Applied enablement sprint

A tailored engagement using your repository, policies, and real development workflows.

04 / Why Jerel

I teach what
I practice.

I’m a Staff Applied AI Engineer at CopilotKit, founder of Chalk Agents and AI Cebu Community, and a product leader with nine years across product and engineering.

The workshop is grounded in shipped open-source systems, enterprise work, and real adoption—not tool demos. Participants learn a disciplined way to collaborate with coding agents while keeping human judgment firmly in the loop.

Staff Applied AI EngineerEnterprise trainerFounderAuthorLinkedIn Top Voice

2.05Mlaunch impressions
CopilotKit

1.4KGitHub stars
OpenGenerativeUI

37,737new users in 3 months
Nona

428Kminutes saved
InterviewRoom.ai

05 / Recently published

The Builder’s Guide

Builder’s Guide to Agentic Applications

I recently wrote a practical CopilotKit × LangChain guide to building, scaling, and operating intelligent agents across apps, machines, and organizations.

Level 1Application agents

Level 2Machine-level agents

Level 3Organizational agents

The same systems thinking behind the book informs every workshop: practical patterns, clear operating boundaries, and a path from prototype to organizational capability.

06 / Speaking experience