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© 2026 AISOLO Technologies Pvt Ltd

AI Safety & Best Practices — Free Workshop

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← All workshops/AI Safety & Best Practices — Free Workshop
Free live workshopOct 24, 2026

AI Safety & Best Practices — Free Workshop

One free live hour on the AI safety concepts every builder and operator needs — plus a live look at AgentBeam, an AI safety layer that watches agent runs so a bad trajectory gets caught before it does damage.

Join workshop
  • Know the core AI safety failure modes before you hit one
  • See AgentBeam catch an unsafe agent trajectory live
  • Leave with a checklist of best practices for running agents safely
Learn live withYash ThakkerExplore the projects
Editorial illustration of an agent workflow being monitored for unsafe stepsExplore what you’ll learn

Your workshop access

FreeNo payment required

Join with your email. We’ll send you the workshop details.

After joining, open your workshop resources and join the WhatsApp group.

  • 1-hour live session · free
  • Recording available afterward
  • The safety map before your agents touch real systems
Beginner friendlyRecordings includedLearn by doing, with your instructorSee the curriculum

Inside the workshop

See what you’ll work through.

Practical examples and guided walkthroughs that make the concepts click.

How we’ll get there
Editorial illustration of an agent workflow being monitored for unsafe steps

01Start here

Spot the unsafe agent trajectory

A live walkthrough of what an out-of-bounds agent run looks like — sandbox probing, unexpected destinations, credential reuse — and how it gets caught.

See the session plan
Editorial illustration of a checklist being assembled from workshop notes

Explore

Is this for you?

The concepts, the best practices, and a live look at what catches a bad agent run.

Founders, PMs, security-curious builders & anyone shipping AI agents

Every team shipping agents eventually asks 'what stops this from going wrong?' after something already has. This free hour is the map before that happens: the concepts, the best practices, and a live look at a real safety layer — AgentBeam — watching an agent's every move.

01

Know the failure modes before you ship

Prompt injection, scope creep, and silent credential reuse aren't edge cases — they're the default risks of handing an agent real tools. You'll leave able to name them and spot them.

02

Best practices, not theory

Human-checkpoint patterns, permission scoping, and the small process changes that keep an agent on task — practical enough to apply to whatever you're already building.

03

See a safety layer catch a bad run, live

AgentBeam watches agent trajectories across tools and sessions and stops a run before the next step. We'll walk through how that actually works, live.

Live curriculum

One intensive session

4 sessions · 1 hours total · All sessions recorded

1 live daysrecordings included
  1. Session 1

    Minutes 0–15 · Why agents fail differently than software

    Prompt injection, scope creep, and credential exposure — what they actually look like when an agent has real tool access, not a sandbox.

  2. Session 2

    Minutes 15–35 · AI safety best practices you can apply today

    Permission scoping, human checkpoints, and the review patterns that keep autonomous agents on task without slowing them to a crawl.

  3. Session 3

    Minutes 35–50 · AgentBeam, live

    A walkthrough of AgentBeam, an AI safety layer for agents: how it watches trajectories across tools and sessions, flags out-of-bounds behavior, and stops a run before the next step.

  4. Session 4

    Minutes 50–60 · Building your own safety checklist

    Turning what you just saw into a short checklist you can run against whatever agent you're building or deploying next.

You will build

  • Leave with a one-page AI safety checklist
  • See a real agent-safety monitor flag a bad trajectory live
AI safety fundamentalsPrompt injection awarenessPermission scopingHuman-checkpoint designAgent trajectory monitoring (conceptual)

Meet your instructor

Yash Thakker

Yash Thakker

Founder of AISOLO Technologies; AI entrepreneur & educator

350K+

Students

12+

Yrs exp

3

Startups

Yash Thakker is the founder of AISOLO Technologies and one of the most sought-after AI educators in the country. He's known for one thing above all: by the end of any session, students have already built something — no saving it for 'later.' His classes are built around real-life, happening-right-now examples, zero dry theory, and a teaching energy that makes complex things feel obvious. With over a decade shipping AI products across media, fintech, and edtech, Yash has delivered every learning format imaginable — in-person workshops, live bootcamps, online courses, and hybrid sessions — always exploring new ways to make learning land faster. He's obsessed with what learning looks like for this generation, now that AI changes what's even worth teaching. He has reached 350,000+ learners and is the creator behind Olly.social, BGBlur.com, Infloq.com, and explainx.ai.

explainx.aiolly.socialbgblur.com

What students say

Real messages from students who trained with Yash across his live AI workshops and bootcamps.

“I've been using Claude for months but had no idea you could set up Projects with custom instructions. After Day 1 I restructured my entire research workflow — I got back about 3 hours a week immediately.”

Illustrated learner avatar

Priya Mehta

Senior Product Manager, Bangalore

“I had a great experience at this bootcamp. The chrome extension capstone was challenging and exciting. I enjoyed learning about LangChain, Tavily, and OpenAI API — I'm thinking of publishing it on the Chrome Web Store.”

Illustrated learner avatar

Shakeel

Bootcamp graduate

“The prompt template library we built on Day 2 is now used by my whole content team. We went from everyone prompting differently to having a shared system that produces on-brand output every time.”

Illustrated learner avatar

James Okafor

Head of Content, Lagos

“Yash Thakker helped me design and build for one real problem, solved properly, without gimmicks. It came directly out of the AI Maker Bootcamp.”

Illustrated learner avatar

Cameron MacInnes

Founder, Alba Host

“Yash doesn't just show you what to type — he shows you how to think about working with Claude. That mental model shift is what I came for and what I got. The research sprint session alone was worth the ticket price.”

Illustrated learner avatar

Sara Lindqvist

Strategy Consultant, Stockholm

“I wanted to build an AI tool that will translate any content into multiple languages. I've just posted my MVP on LinkedIn after completing the bootcamp.”

Illustrated learner avatar

Inês A.

Bootcamp graduate

“Best class ever! You are an amazing teacher. Thank you for everything.”

Illustrated learner avatar

Workshop student

via LinkedIn

“I learned so much and felt really empowered by this class. Thank you Yash!”

Illustrated learner avatar

Workshop student

via LinkedIn

“Your bootcamp was very important to me and I hope we can stay connected. You are a great teacher and person.”

Illustrated learner avatar

Workshop student

via Discord

Your next step

Join AI Safety & Best Practices — Free Workshop

Oct 24, 2026 · free live hour

Included with your workshop

  • 1-hour live workshop

    1 hour · Oct 24, 2026

  • Session recording

    Available to watch afterward

  • AI safety concepts walkthrough

    Prompt injection, scope creep, credential exposure

  • Best-practices checklist

    Human checkpoints and guardrails you can apply immediately

  • AgentBeam live demo

    Watch an AI safety layer catch a bad agent trajectory in real time

  • Melo learning assistant

    Pre learning, all workshop content, and post learning practice

Join with your email, then open your workshop resources and join the WhatsApp group for session updates.

After joining, open your workshop resources and join the WhatsApp group.

faq

Frequently asked questions

Everything you need to know before joining.

Yes. This is a free 1-hour live session on Oct 24. No credit card is required.

No. This hour is conceptual — the risks, the best practices, and a live tool walkthrough. If you're deploying or overseeing agents in any capacity, this is built for you.

AgentBeam is an AI safety layer for agents — it monitors agent trajectories across tools and sessions, catches out-of-bounds behavior like sandbox probing or unexpected credential reuse, and lets a human or policy engine stop a run before the next step. We'll walk through it live.

Register anyway — the session recording will be available to watch afterward.

Email gets you in. A free account opens the private starter kit (practice tools, pathways, blogs) so you can track this workshop and use Melo — our learning copilot — while you wait. Clicking that resources link also enrolls you. Use the same email.

In the last few minutes we'll point to where to go deeper if this topic is relevant to what you're building. This hour stands on its own — no payment to be here.

Join 350K+ learners

Save a free seat

Live, one hour, capped at 100 so the room stays interactive.

Join workshop

Included learning assistant

Melo supports the whole learning journey

You get pre learning support, the complete AI Safety & Best Practices — Free Workshop content in one learning context, and post learning practice to help the ideas stick.

Before

Prepare with the key ideas and ask what to expect.

During

Ask across all workshop content without losing context.

After

Review, practise, and apply the material to your own work.

Two colleagues in everyday clothes working together at a laptop
Built around real work

Private team sessions

Train your team

Bring AI Safety & Best Practices — Free Workshop to your company with examples, projects, and guidance shaped around the tools your team already uses.

  • ✓Live remote, in person, or hybrid
  • ✓Projects adapted to your team workflows
  • ✓Shared resources and a clear adoption plan
Plan team training

Free live hour

Join workshop

Join workshop
02

Build a safety checklist

Turn the session's best practices into a short, practical checklist you can run against any agent before it touches real systems.

Editorial illustration of a monitoring layer connected to multiple agent workflows

03Explore

AgentBeam, explained

A plain-language pass on how an AI safety layer like AgentBeam watches agent fleets and stops a bad run before the next step.

Udemy