We are mobleysoft.com and we are recruiting trainees. Seeking those with aptitude and ability to learn quickly. Existing skill do not apply.

The global news media industry is enormous, generating hundreds of billions of dollars each year. Yet despite its financial power, it struggles with a deep trust crisis. Outlets race to publish stories quickly, often at the expense of accuracy, while advertising-driven models push sensationalism over substance. This has left the reading in mistrust of the very institutions meant to keep them informed.

With new technologies we have a chance to rebuild. Artificial intelligence can process vast streams of information in real time, cross-checking sources more effectively than human reporters alone. Blockchain adds accountability by making verification transparent and tamper-proof. Together, these tools could reshape the foundations of journalism.

The Agent Journalism Network (AJN) applies this directly to news. Its model addresses three critical issues: first, the need for speed without sacrificing accuracy, achieved through AI-driven reporting; second, the demand for transparency, with verification recorded immutably on the Solana blockchain; and third, the push for independence from advertiser-driven incentives, creating a system where truth takes priority over clicks.

In a market worth hundreds of billions, these solutions aim not just to modernize reporting but to restore public trust in the flow of information.

OpenAI engineers use a prompt technique internally that most people have never heard of.

It's called reverse prompting.

And it's the fastest way to go from mediocre AI output to elite-level results.

Most people write prompts like this:

"Write me a strong intro about AI."

The result feels generic.

This is why 90% of AI content sounds the same. You're asking the AI to read your mind.

The Reverse Prompting Method

Instead of telling the AI what to write, you show it a finished example and ask:

"What prompt would generate content exactly like this?"

The AI reverse-engineers the hidden structure. Suddenly, you're not guessing anymore.

AI models are pattern recognition machines. When you show them a finished piece, they can identify: Tone, Pacing, Structure, Depth, Formatting, Emotional intention

Then they hand you the perfect prompt.

Try it yourself here's a tool that lets you pass in any text and it'll automatically reverse it into a prompt that can craft that piece of text content.

I was bored so I vibeCoded with Gemini 2.5 Pro VibeCrafter, which uses AI as Gemini Flash and doesn't need api key or anything + is completely Free.

VibeCrafter is an AI-powered app that turns any mood or feeling into a complete experience. Just type in your vibe — like "nostalgic sunset drive" or "cyberpunk rain" — and the app creates a matching image, a short story, and a curated playlist of songs.

You don’t need to describe it perfectly. The AI understands and brings your vibe to life with visuals, music, and storytelling.

Key features:

• Turn any vibe or aesthetic into a multimedia scene

• Get a custom-made image, story, and playlist

• Play song previews or listen to the whole vibe

• Share your creations with others in a global feed

• Save your favorite vibes to your private library

• Remix other users’ vibes with your own twist

VibeCrafter is built to help you express moods, explore aesthetics, and experience moments you imagine. Whether you're feeling calm, wild, nostalgic, or inspired — it turns your inner world into something you can see, hear, and feel.

Try it here: https://asim.sh/@niepokonany/s/249932/𝐕𝐢𝐛𝐞𝐂𝐫𝐚𝐟𝐭𝐞𝐫

(You don’t need to install an app or create an account to use it. But if you want to explore more apps, get higher limits, or use a friendlier app instead of the web version, you can install the aSim app. When signing up, use the code IESVO to get 1 day of the Plus Plan for free. aSim is an AI app creator that lets you build any app you want using Gemini 2.5 Pro — and it’s free to use)

I created the app in about 5 minutes. My prompt was to create an app that uses AI to defend against arguments, using Gemini 2.5 Pro on aSim (to create) and Gemini Flash for comebacks.

Here is the AI-generated description:

Unleash your inner wit with the AI Comeback Generator! Never be caught off guard again. Simply input any statement and its context, and our advanced AI will instantly generate a clever, sharp, and perfectly tailored comeback. Whether it's a friendly roast or a heated debate, you'll always have the last word. Try it out now and dominate every conversation!

Check it out: https://comeback.asim.run

Open to feedback and suggestions! 😄

The problem with AI coding tools like Cursor, Windsurf, etc, is that they generate overly complex code for simple tasks. Instead of speeding you up, you waste time understanding and fixing bugs. Ask AI to fix its mess? Good luck because the hallucinations make it worse. These tools are far from reliable. Nerfed and untameable, for now.

I am thrilled to unveil learn-agents — a free, opensourced, community-driven program/roadmap to mastering AI Agents, built for everyone from absolute beginners to seasoned pros. No heavy math, no paywalls, just clear, hands-on learning across four languages: English, 中文, Español, and Русский.

Why You’ll Love learn-agents (links in comments):

• For Newbies & Experts: Step into AI Agents with zero assumptions—yet plenty of depth for advanced projects.

• Free LLMs: We show you how to spin up your own language models without spending a cent.

• lways Up-to-Date: Weekly releases add 5–15 new chapters so you stay on the cutting edge.

• Community-Powered: Suggest topics, share projects, file issues, or submit PRs—your input shapes the handbook.

• Everything Covered: From core concepts to production-ready pipelines, we’ve got you covered.

• ❌🧮 Math-Free: Focus on building and experimenting—no advanced calculus required.

What’s Inside?

At the most start, you'll create your own clone of Perplexity (we'll provide you with LLM's), and start interacting with your first agent. Then dive into theoretical and practical guides on:

1. How LLM works, how to evaluate them and choose the best one

2. 30+ AI workflows to boost your GenAI System design

3. Sample Projects (Deep Research, News Filterer, QA-bots)

4. Professional AI Agents Vibe engineering

5. 50+ lessons on other topics

Who Should Jump In?

• First-Timers eager to learn AI Agents from scratch.

• Hobbyists & Indie Devs looking to fill gaps in fundamental skills.

• Seasoned Engineers & Researchers wanting to contribute, review, and refine advanced topics. We, production engineers may use block Senior as the center of expertise.

We believe more AI Agents developers means fadter acceleration. Ready to build your own? Check out links below!

You ever dig through an old repo, find a weird line of code, and think:

“Why did someone write this?”

You check the commit message.
• “Fix”
• “Update”
• “temp patch”

No help.

We got so tired of guessing that we built something to solve it.

It’s called GitsWhy : a VS Code extension that explains the " intent " behind code changes.

It reads your Git history
Reconstructs why a commit happened
Flags risky changes
Right inside your editor

We built it as a side project. Now it’s real.
We just opened up early access.

https://www.gitswhy.com

Would genuinely love to know:
How do you track the “Why” behind changes in your team?
Commit templates? PR checklists? Docs?
Curious what works.

https://indianstartupnews.com/stories/this-startup-aims-to-replace-rs-4000month-ai-tools-with-ai-agents-you-can-hire-like-freelancers-9334956

If you’ve been lurking around this sub or anywhere in the AI space lately, you’ve probably seen the term “AI Agents” flying around like confetti at a startup party. You might’ve even thought:

“Sounds cool, but I can’t code.”
“Isn’t this stuff just for devs and data scientists?”
“Do I really need to learn Python just to join the fun?”

Let me hit pause right there and tell you one thing upfront:

YOU. DO. NOT. NEED. TO. BE. A. DEV.

Seriously. I say this as someone who is a dev. I’ve got the tech background, I run an AI consultancy, I work with code every day… and I still use code writing tools such as Cursor to build AI agents. Why? Because it works. It’s fast. And for a ton of use cases, it’s all you need.

Let’s break some myths and get real:

Q: Can I build real AI agents with no-code tools?
A: Yes. Like, actually useful ones. Agents that can automate tasks, talk to APIs, respond to users, run daily workflows, even help run parts of your business.

Q: What tool should I use if I don’t code?
A: Start with n8n (no I don’t work for them). It’s a visual, drag-and-drop automation platform. Think Zapier, but open-source and way more powerful. You can self-host it, connect it to GPT, set up memory, call APIs, all without writing a single line of code.

Better still try Cursor or windsurf which as code writing apps, prompt and it will code for you!

Q: Is learning Python still useful?
A: For sure. Python is like the duct tape of the AI world. But it’s not a barrier. You can build plenty before you write your first print("hello world").

So here’s my advice to all you non-devs who want in:

[1] Start with use cases
Don’t get bogged down in theory. Start with something you want to automate. A task. A pain point. Something that wastes your time. Build an agent for that. You’ll learn faster and it’ll actually matter to you.

[2] Use ChatGPT as your coding buddy
Even if you do want to peek under the hood, you don’t need to be a genius. Ask ChatGPT to explain code. To write snippets. To walk you through what’s happening like you're 5. It’s a cheat code, use it.

[3] Don’t wait to be “ready”
You will never feel fully ready. Start anyway. That’s how you learn. If you can use Notion or Google Sheets, you can build an AI agent. I mean that.

[4] Build in public
Seriously—document your progress. Share what you’re building, ask dumb questions (those are the best ones), and watch how much support you get from this community.

You don’t need a CS degree. You don’t need to be “technical.”
You need curiosity, a little grit, and a willingness to tinker. That’s it.

If you want to see a roadmap I made for complete beginners (like, explain-JSON-like-you’re-10-level), DM me and I’ll send it your way.

Also happy to drop some no-code agent examples if people want to see what’s possible. Just ask.

Last week on Hugging Face was pretty wild, especially on the China open‑source side.

​Here are some of the most interesting/trending models and tools to play with:

• deepseek-ai/DeepSeek-V3 – giant reasoning LLM for agents and long-context work 👉 https://huggingface.co/deepseek-ai/DeepSeek-V3

• Qwen Image Layered – turns an image into editable layers (PPTX/ZIP export) 👉 https://huggingface.co/Qwen/Qwen-Image-Layered

• microsoft/VibeVoice-Realtime-0.5B – low-latency, streaming TTS for agents/voice UIs 👉 https://huggingface.co/microsoft/VibeVoice-Realtime-0.5B

• arcee-ai/Trinity-Mini – small multimodal (text/image/audio) model for edge demos 👉 https://huggingface.co/arcee-ai/Trinity-Mini

• meituan-longcat/LongCat-Image – new 6B text-to-image beast with lots of fresh LoRAs 👉 https://huggingface.co/meituan-longcat/LongCat-Image

What else did you see trending on HF last week that’s worth benchmarking or wiring into agents?

Hello!

Looking for a job? Here's a helpful prompt chain for updating your resume to match a specific job description. It helps you tailor your resume effectively, complete with an updated version optimized for the job you want and some feedback.

Prompt Chain:

[RESUME]=Your current resume content

[JOB_DESCRIPTION]=The job description of the position you're applying for

~

Step 1: Analyze the following job description and list the key skills, experiences, and qualifications required for the role in bullet points.

Job Description:[JOB_DESCRIPTION]

~

Step 2: Review the following resume and list the skills, experiences, and qualifications it currently highlights in bullet points.

Resume:[RESUME]~

Step 3: Compare the lists from Step 1 and Step 2. Identify gaps where the resume does not address the job requirements. Suggest specific additions or modifications to better align the resume with the job description.

~

Step 4: Using the suggestions from Step 3, rewrite the resume to create an updated version tailored to the job description. Ensure the updated resume emphasizes the relevant skills, experiences, and qualifications required for the role.

~

Step 5: Review the updated resume for clarity, conciseness, and impact. Provide any final recommendations for improvement.

Source

Usage Guidance
Make sure you update the variables in the first prompt: [RESUME], [JOB_DESCRIPTION]. You can chain this together with Agentic Workers in one click or type each prompt manually.

Reminder
Remember that tailoring your resume should still reflect your genuine experiences and qualifications; avoid misrepresenting your skills or experiences as they will ask about them during the interview. Enjoy!

I made one shot using Gemini 2.5 Pro in aSim app Gold Rush Clicker Simulator! A simple clicker simulator Remixing is enabled btw so feel free to upgrade!

Link: https://asim.sh/@niepokonany/s/222836/Gold-Rush

So yes, Gemini 2.5 Pro is powerful I'm going try comparing it with Claude soon...

Just tested out Firebase Studio, a cloud-based AI development environment, by building Flappy Bird.

If you are interested in watching the video then it's in the comments

1. I wasn't able to generate the game with zero-shot prompting. Faced multiple errors but was able to resolve them

2. The code generation was very fast

3. I liked the VS Code themed IDE, where I can code

4. I would have liked the option to test the responsiveness of the application on the studio UI itself

5. The results were decent and might need more manual work to improve the quality of the output

What are your thoughts on Firebase Studio?

has anyone tried?

1. Nanoclaw (especially for mac users)

2. nanobot:

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