
Hello and welcome to the Automated, your AI tour guide.
ChatGPT just took a major leap forwardโthis time, itโs not just answering your coding questions; itโs diving in and editing your code.
Whether this is a game-changer or a debugging nightmare depends on how you use it. But before you hand over the reins, there are a few things you need to knowโฆ
Hereโs what we have for you today:
๐ฆพ ChatGPT Just Got Hands-On with Your Code.
๐ Mistralโs New API Transforms PDFs into AI-Ready Text!
๐ ๏ธ Top AI tools for designers.
๐ฃ๏ธ AI translation made simple: How to translate any language quickly and accurately.
๐ค ChatGPT Prompt Of The Day: Proofread for clarity, grammatical errors, syntax and conciseness.
๐ฆพ ChatGPT Just Got Hands-On with Your Code.

Big news for developers: ChatGPT just got a major upgrade.
If you're on macOS, OpenAI's AI-powered chatbot can now directly edit code in Xcode, VS Code, and JetBrainsโno more tedious copy-pasting.
And if you're feeling bold (or just really trust AI), there's an auto-apply mode that lets ChatGPT tweak your code without waiting for approval.
A blessing or a disaster? You decide.
But Hereโs the Catch:
This feature is only available for ChatGPT Plus, Pro, and Team subscribersโfor now.
Free, Enterprise, and Edu users? Youโll have to wait until next week.
Windows users? Youโll get it "soon" (whatever that means).
ChatGPT for macOS can now edit code directly in IDEs. Available to Plus, Pro, and Team users.
โ #OpenAI Developers (#@OpenAIDevs)
5:28 PM โข Mar 6, 2025
Why This Matters
This update makes ChatGPT an even stronger competitor to AI coding tools like GitHub Copilot and Cursor.
And OpenAI isnโt stopping hereโword on the street is theyโre working on an even more advanced AI-powered coding tool.
But hey, why not? AI-generated code is taking over fast.
A recent GitHub survey reveals that most developers are already using AI tools, and according to Y Combinatorโs Jared Friedman, 25% of YCโs latest startup batch gets 95% of their code from AI. (Wild, right?)
But before you toss your coding books aside, hereโs a reality check: AI-generated code isnโt all smooth sailing.
Itโs often riddled with bugs and security issues.
Many devs report spending more time debugging AI-written code than human-written code.
Googleโs research shows AI speeds up coding but weakens delivery stability.
So, How Do You Use AI for Coding Without Losing Your Mind?
One developer shares their strategy for keeping AI coding tools in check:
Treat AI like a genius intern. It knows everythingโbut has zero real-world experience. Your job is to, guide it, double-check its work, and make sure it doesnโt go rogue.
Plan with AI, not just code with it. Before diving in, this dev chats with Claude 3.5 Sonnet to map out the overall architecture and approach.
Set rules. Using system prompts helps keep AI responses clear, readable, and aligned with best practices.
Make AI review its own code. Prompts like "Any mistakes in this code?" or "Does this follow best practices?" help catch issues before they become disasters.
Use a second AI to fact-check. Running the same code through other AI models like Llama 3.1 or GPT-4o can expose hidden bugs. Think of it like getting a second opinion from a doctorโexcept the doctor is also AI.
Give AI just the right amount of context. Too little, and it makes wild guesses. Too much, and it gets confused. Finding that sweet spot takes practice.
Donโt let AI make you lazy. Instead of just copy-pasting, ask questions, reason through the code, and actually learn from it. Otherwise, youโre just outsourcing your brain.
The Bottom Line
AI coding tools are powerful, but theyโre not magic. They can write 80% of your codeโbut only if you know how to manage them properly.
Let AI run wild, and youโll spend hours debugging nonsense.
But if you treat it like a supercharged assistant and stay engaged in the process, it can be a total game-changer.
So, whatโs it gonna be? Are you embracing AI coding, or are you still side-eyeing it with suspicion?
๐ Find out more about using AI for coding here.
๐ Final Week โ Last Chance for the Toolkit & 1:1 Bonus!
Hi everyone,
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๐ Mistralโs New API Transforms PDFs into AI-Ready Text!
French AI powerhouse Mistral just dropped a game-changer for developers working with complex PDF documents.
Meet Mistral OCRโa new optical character recognition (OCR) API that converts PDFs into AI-ready Markdown for seamless AI processing.
Why does this matter?
Large language models (LLMs) like OpenAIโs ChatGPT and Mistralโs own Le Chat thrive on clean, structured text.
But PDFs? Theyโre a nightmare for AIโoften crammed with images, messy layouts, and hard-to-read formatting.
Mistral OCR steps in to clean up the chaos, turning those files into easily digestible Markdown so AI models can read, store, and process them like a breeze.
Unlike traditional OCR tools, Mistral OCR is multimodalโmeaning it doesnโt just rip out text.
It detects images, charts, and tables, wrapping them in bounding boxes so that AI systems can understand both text and visuals in context.
Plus, rather than spitting out an ugly wall of text, it formats everything neatly in Markdown, which is a must-have for AI training.
As Mistral co-founder Guillaume Lample explains, businesses sit on mountains of PDFs and slides that AI assistants canโt easily access.
With Mistral OCR, companies can finally unlock that hidden knowledgeโwhether itโs legal contracts, technical reports, or scientific papersโin any language.
Mistral isnโt just talking the talk.
They claim their OCR outperforms Google, Microsoft, and OpenAI, especially when handling complex documentsโlike those with LaTeX math formulas, intricate tables, and advanced layouts.
Plus, because Mistral OCR focuses on one thing and one thing only, itโs faster than alternatives like GPT-4o, which juggles multiple multimodal tasks at once.
So, where can you get it?
Mistral OCR is available through Mistralโs API platform or via cloud services like AWS, Azure, and Google Cloud Vertex.
Security-conscious companies can also deploy it on-premise, making it ideal for industries dealing with classified or sensitive data.
Mistral is already using its own OCR tech in Le Chat, allowing users to upload PDFs and instantly extract AI-readable content.
But the real magic happens when companies integrate Mistral OCR with Retrieval-Augmented Generation (RAG) systemsโletting AI assistants work with rich, multimodal documents.
Think law firms sifting through case files, research institutions analyzing studies, or businesses indexing internal reports in seconds.
Curious about how Mistral OCR could transform your AI workflows?
๐งฑAround The AI Block
๐ ๏ธ Top AI tools for designers.
๐ฃ๏ธ How to translate any language quickly and accurately.
๐บ Prime Video tests AI dubbing for select movies and TV series
๐ Anthropic submits AI policy recommendations to the White House.
๐ฌ DuckDuckGo leans further into GenAI as its AI chat interface exits beta.
๐ฆ Anthropicโs Claude Code tool had a bug that โbrickedโ some systems.
๐ฅณ ChatGPT doubled its weekly active users in under 6 months, thanks to new releases.
๐ฆพ Google DeepMind, Cohere, and Twelve Labs explain how founders can build with their AI models.
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๐คChatGPT Prompt Of The Day: Proofread for clarity, grammatical errors, syntax and conciseness.
Great writing isnโt just about getting words on a pageโitโs about making them clear, concise, and error-free.
Proofreading helps you refine your message, fix grammatical slip-ups, and ensure your ideas flow smoothly.
Need a quick polish? Here's a prompt that can help.
Assume the role of a proofreader specializing in academic writing. Your task is to review and edit a segment of an academic paper titled "[PAPER TITLE]." Focus on ensuring clarity, conciseness, and coherence in the writing. Identify any sentences or phrases that are ambiguous, overly complex, or unnecessarily verbose, and suggest precise and succinct alternatives. Pay attention to the logical flow of ideas, ensuring that each sentence contributes effectively to the argument or narrative. Check for consistency in terminology, style, and voice throughout the document. Highlight any jargon or technical terms that may need clarification for the paper's intended audience. Conclude your proofreading by verifying that the segment aligns with academic standards and enhances the overall readability and impact of the paper.
OR
Assume the role of a meticulous proofreader with a strong background in [YOUR FIELD]. Your task is to scrutinize an academic manuscript, focusing specifically on correcting grammatical errors and refining syntax to meet the highest standards of academic writing. Pay close attention to subject-verb agreement, tense consistency, and the proper use of academic tone and vocabulary. Rectify any instances of passive voice where an active voice would be more direct and impactful. Examine complex sentences to ensure clarity and coherence, breaking down overly complicated structures if necessary. Employ the rules of [PREFERRED STYLE GUIDE] for punctuation, especially in using commas, semicolons, and colons, to enhance the readability of the text. Your goal is to produce a polished, error-free document that communicates ideas clearly, concisely, and effectively, without detracting from the scholarly content and contributions of the work.
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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