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Building AI agents that do the boring stuff · Operations × Automation

[T @timilehinajuwon]

The first step to success is to define what success means to you
#successquotes #success #BBNaijia #FridayFeeling #Entrepreneur

[T @timilehinajuwon]

Fabian Ruiz ???

[T @timilehinajuwon]

I just signed up for the #emailgeeks Slack group. 💌

https://t.co/AfoPbFoSxQ

[Peter Yang @petergyang]

Yeah I think ID verification will soon be required to access the best models

[T @timilehinajuwon]

@Yuchenj_UW Not too deep man

[T @timilehinajuwon]

???

[ClaudeDevs @ClaudeDevs]

As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models.

Here’s what this means for you:

Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error.

On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models.

We know this is a disruption to your workflows; we appreciate your patience and support.

[T @timilehinajuwon]

@jimiroye1 @Bond_not_james Juju in Nigeria means something beyond human comprehension. Science can be explained and scientist do provide explanation for their works. But juju people on the other hand will tell you they have a supernatural power that no one else have

[T @timilehinajuwon]

@jimiroye1 @Bond_not_james The fact is that it is nothing supernatural like they claim

[T @timilehinajuwon]

@ROYAL981249161 @Bond_not_james Is it not fake?

[T @timilehinajuwon]

@Vaallourr @Bond_not_james Bring proof or make you go do am and allow them shoot you

[T @timilehinajuwon]

@vheeorji22 Why will you compare AI to NFT???

[T @timilehinajuwon]

Opus 4.8

[Kasif @md_kasif_uddin]

Which AI model is currently the best for coding?

[Noah @NoahKingJr]

You accidentally say "Hello" to Claude Opus 4.8 and it consumes 7% of your session limit.

[T @timilehinajuwon]

@GDonalds4pf @SkySportsPL @ChelseaFC Noefa

[T @timilehinajuwon]

@piersmorgan And one day you will want Bruno on your show?

[T @timilehinajuwon]

@ST_Automation @TTrimoreau Nice strategy I have been using

[T @timilehinajuwon]

@TTrimoreau https://t.co/7vMW48snKl

[Max Weinbach @mweinbach]

Google built an entire operating system using Antigravity and Gemini 3.5 Flash

for under $1,000 in API credits

It took 93 subagents, 12 hours, 15K model requests, 2.6B tokens...

[Himanshu Kumar @codewithimanshu]

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins.

For Free. From the engineers who built the stack.

CANCEL Your Weekend Plans, and Learn to Build AI Agents Today.

Bookmark it. Watch it. Build your first production agent this weekend.

$5,000/month. $7,000/month. $12,000/month.

People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase.

This video fixes that tonight.

Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.
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Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes.

This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost.

Here's everything inside.

I break down a production AI video like this every week. Follow @codewithimanshu.

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The 4-part agent stack that actually scales.

Most devs are duct-taping frameworks together and calling it an "AI agent."

Ivan lays out the real stack:

Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly.

Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches.

Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together.

This is the stack replacing every hacky agent setup in production right now.
Full MCP + Claude breakdowns drop weekly on @codewithimanshu.

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Building your first real agent.
Ivan builds a birthday planner agent live.

LLM Agent class. Name it. Define instructions. Pick the model.

He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning.

Full agent built in minutes. Not weeks.

Watch the build once and you'll never structure an agent the wrong way again.

I post agent architectures people pay $500 courses to learn. @codewithimanshu.

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Multi-agent systems without the chaos.

Single agents are easy. Multi-agent systems are where 99% of builders fail.

Ivan extends the birthday planner by:
Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs

This is production multi-agent architecture. Clean. Scalable. Debuggable.
Most tutorials hand-wave this part. This one shows you every step.

Multi-agent orchestration content drops weekly on @codewithimanshu.

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Deployment without the DevOps nightmare.
This is where most AI projects die.

You build a cool agent locally. It works. You try to deploy it. Everything breaks.
Vertex AI Agent Engine fixes this:

Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed

You provide config and requirements. The platform handles the rest.
This is how agents actually get to production.

Deployment guides for Claude agents post every week. @codewithimanshu.

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Agent-to-Agent Protocol: the future nobody's talking about.
Most people don't know this exists yet.

The A2A Protocol lets agents built in different frameworks communicate seamlessly.

Your Claude agent. My LangChain agent. Someone else's CrewAI agent.
All talking to each other. All solving parts of the same problem. All without custom integration code.

This is the infrastructure layer of the coming AI economy.
Getting in early on A2A Protocol is like getting in early on HTTP in 1995.

A2A deep dive coming soon. @codewithimanshu.

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30 minutes from the team shipping this in production.

You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost.

People who watch this understand production AI agents at the architect level.
People who skip it keep hacking together frameworks that break every time an API updates.

Save the video. Watch it tonight. Build a real agent this weekend.

Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.

[T @timilehinajuwon]

UAE is going to transform its entire government with agentic AI.

[HH Sheikh Mohammed @HHShkMohd]

Under the directives of the President of the UAE, we launch a new government model. Within two years, 50% of government sectors, services, and operations will run on Agentic AI, making the UAE the first government globally to operate at this scale through autonomous systems.

AI is no longer a tool. It analyses, decides, executes, and improves in real time. It will become our executive partner to enhance services, accelerate decisions, and raise efficiency.

This transformation has a clear timeline. Two years. Performance across government will be measured by speed of adoption, quality of implementation, and mastery of AI in redesigning government work.

We are investing in our people. Every federal employee will be trained to master AI, building one of the world’s strongest capabilities in AI-driven government.

Implementation will be overseen by Sheikh Mansour bin Zayed, with a dedicated taskforce chaired by Mohammad Al Gergawi driving execution.

The world is changing. Technology is accelerating. Our principle remains constant. People come first. Our goal is a government that is faster, more responsive, and more impactful.