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OpenAI drops the ultimate AI Agent toolkit
š Final 6 Hours ā Get your first month free!

Hello and welcome to the Automated, your AI tour guide.
AI agents arenāt just a futuristic concept anymoreātheyāre here. And OpenAI just dropped a powerful new toolkit that could redefine how businesses build and deploy them.
The question is: Are we looking at the future of work, or just another overhyped AI experiment?
Hereās what we have for you today:
š¦¾ OpenAI Hands Businesses the Blueprint for AI Agents.
š½ Metaās AI Power Move: Testing Its First In-House AI Training Chip!
ā¬ļø AI assistants: How to level up your work.
āļø AI writing fingerprints: identify (& fix) AI-Generated contents.
š¤ ChatGPT Prompt Of The Day: Write a job application letter.
š¦¾ OpenAI Hands Businesses the Blueprint for AI Agents.

If you caught our last deep dive into AI agents, you already know whatās happening.
These digital workers arenāt just helping businessesātheyāre replacing entire job roles.
Companies are literally posting job listings for AI agents instead of humans. And honestly, can you blame them?
AI doesnāt take lunch breaks, wonāt storm out over a bad boss, and definitely wonāt ask for a raise.
In our last breakdown, we explained why AI agents are the next big thingāhow theyāre streamlining operations and why companies are scrambling to automate everything.
But now? OpenAI is making sure that if businesses want in on the AI revolution, theyāre the ones selling the picks and shovels in this gold rush.
And theyāre not playing around.
They just made their biggest move yet with the Responses APIāa new toolkit that lets businesses and developers build AI agents capable of searching the web, scanning company files, and even navigating websites like a highly efficient, unpaid intern.
This replaces OpenAIās old Assistants API (which officially shuts down in 2026) and gives developers more control over creating their own AI-powered assistants.
So, whatās new?
Supercharged AI search ā The API gives developers access to OpenAIās GPT-4o search models, which can browse the web and (supposedly) provide accurate, sourced answers. OpenAI claims 90% accuracy, but letās be realāhallucinations and bad citations are still very much a thing.
Instant file scanning ā Need to sift through mountains of company data? The Responses API comes with a file search utility that quickly scans databases to retrieve information. (OpenAI swears it wonāt use this data for training modelsā¦ but, well, weāll see.)
Automate tasks on a computer ā Developers can tap into OpenAIās Computer-Using Agent (CUA) model, (the same one powering Operator). This AI doesnāt just sit thereāit clicks, types, and navigates apps like a digital office worker. Itās still in research preview, but OpenAI sees it as the future of AI-powered automation.
And since even OpenAI knows AI agents still have a long way to go, theyāre also rolling out the Agents SDKāa free developer toolkit for integrating models, adding safeguards, and debugging AI behaviors.
But letās be realāAI agents have been a mixed bag so far. Weāre talking tons of hype, but very few actually delivering.
Take Butterfly Effectās Manus, for example. It went viral last weekā¦ for all the wrong reasons.
Turns out, it didnāt live up to the hype, and letās just say thatās exactly the kind of disaster OpenAI is trying to avoid.
So, whatās OpenAIās game plan?
They know the real challenge isnāt just building AI agentsāitās making them actually useful and scalable.
Thatās why theyāre not selling AI agents directly (yet). Instead, theyāre selling the building blocks for businesses to create their own.
But hereās the bigger picture:
OpenAI isnāt just building AI tools or giving developers accessātheyāre positioning themselves as the gatekeepers of this new AI workforce.
Sam Altman already declared 2025 as the year AI agents enter the workforce, and this API is a major step toward making that happen.
In short, OpenAI is making sure they own that transition.
The real question now is: Will AI agents actually deliver, or are we in for another wave of overpromising and underdelivering?
Find out more about this game-changing development [here].
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Tak Lo (Editor at The Automated, AI entrepreneur and thought leader. More at thetaklo.com)
š½ Metaās AI Power Move: Testing Its First In-House AI Training Chip!

Meta is making a bold push into AI chip development, testing its first in-house training chip in an effort to reduce dependence on Nvidia and cut massive AI infrastructure costs.
The chip, part of Metaās Meta Training and Inference Accelerator (MTIA) series, is being produced by TSMC and could play a key role in training AI models for recommendations and future GenAI applications like Meta AI.
š Why This Matters
Meta is spending big on AIāit expects $65B in AI-driven capital expenditures in 2025. Developing custom chips could slash costs in the long run.
The chip is a dedicated AI accelerator, meaning itās designed for AI workloads rather than general-purpose computing, which could make it more power-efficient than GPUs.
Success isnāt guaranteedāMeta previously scrapped an MTIA chip after a failed small-scale deployment and has since relied heavily on Nvidia, spending billions on GPUs.
š The Road to AI Independence
According to Chief Product Officer Chris Cox, Metaās first-generation inference chip, which is used for content recommendations on Facebook and Instagram, was a ābig success."
If this new training chip proves viable, Meta plans to gradually shift AI workloads away from third-party hardware like Nvidiaās GPUs.
But Meta isnāt aloneāother AI giants, including Google (TPU) and Amazon (Trainium & Inferentia), have also developed custom AI chips to cut costs and optimize performance.
ā The Bigger Picture
AIās Compute Race Is Changing: Scaling up massive AI models with more data & GPUs is no longer the only path forwardāsmarter, more efficient models (like DeepSeekās) are challenging that approach.
Nvidiaās Dominance Faces Pressure: Nvidiaās stock has fluctuated as AI chip competition heats up, though it remains the industry leader.
Metaās AI Strategy Gets More Serious: If the training chip works, Meta could reshape its AI infrastructure by 2026āand possibly shake up the AI hardware market.
Can Meta finally break free from Nvidiaās grip? The next few months will be crucial.
š§±Around The AI Block
ā¬ļø AI assistants: How to level up your work.
āļø AI writing fingerprints: identify (& fix) AI-Generated contents.
āļø OpenAI says it has trained an AI thatās āreally goodā at creative writing.
šµ Inside Googleās Investment in the A.I. Start-Up Anthropic.
š¼ DOGEās GSAi chatbot expands to 1,500 federal workers.
š¤ EU AI Act: Latest draft Code for AI model makers.
š ļø Trending Tools
ElevenLabs: AI-powered voice synthesis tool that creates ultra-realistic speech from text.
Spline AI: AI-driven 3D design tool that generates interactive 3D scenes from text prompts.
Peacasso AI: AI tool that transforms text descriptions into high-quality digital paintings.
Veed.io: AI-powered online video editor with automatic subtitles, translations, and effects.
Harmonai: AI tool for generating and remixing high-quality music with deep learning.
š¤ChatGPT Prompt Of The Day: Write a job application letter.
A strong job application letter isnāt just a formalityāitās your chance to make a lasting impression. The right words can showcase your skills, highlight your experience, and set you apart from other candidates.
With ChatGPT-4, you can craft a compelling letter that grabs attention and increases your chances of landing the job.
Hereās a prompt to help you create a standout job application:
Write a job application for the position of [job title] with the company [employerās name]. Write a letter that will make me stand out from the crowd. Highlight my skills in [insert relevant skills] and my experience with [insert relevant previous experience].
We've Compiled a List of Over 100 ChatGPT Power Prompts.
This should help streamline your interactions with ChatGPT and get the results you need more efficiently.
Best of all, It's free!

That's all we've got for you today.
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