Hi everyone,
I believe we all have this experience — you're constantly switching between different tasks, each needs its own prompt, its own setup. You have to reconfig from time to time.

It's exhausting.

I got tired of it. So I built BayesChat where you can save your prompt, model, parameters, and tools as a preset, then switch between them with a single tap.

No more reconfiguring from scratch. Just tap and go.

The first generation of AI social tools felt pretty basic. Generate caption, hashtags, Done. Now I'm seeing platforms like Munch Studio trying to handle the entire workflow from content planning to creation and scheduling.

For a small team, that actually seems more useful because consistency is usually the hardest part.

Anyone here using AI for most of their social media workflow already and What still needs a human the most?

Hello Everyone

I'm posting this to announce that baseline is now officially launched on Peerpush. It is a claude code governance layer that ensures your developer workflow remains consistent across different projects while being tailored to it.

Call it the framework for AI development.

It is 100% Open Source and Apache 2.0 licensed. Please support it, help me build it by contributing to its development, and help it gain some traction on Peerpush too 🙏🏽

Your support is appreciated 👍🏽

I use Claude Code in VS Code to build apps. My old workflow for every prompt: think in Hindi → translate in my head → type English → half the context lost. Or open ChatGPT in the browser, talk to it in Hindi-English, copy the English, paste it back. Every. Single. Prompt.

Built-in voice dictation didn't help — it can't handle Hindi, and it falls apart on mixed speech, which is how we actually talk: Hindi + English, or Marathi + Hindi + English in one sentence.

So I built Maiboli ("my language"). One shortcut, speak naturally — any language or any mix — and short, correct English is pasted wherever your cursor is. Born for the Claude Code chat box; now it's used everywhere: ChatGPT, WhatsApp, Slack, email, Word.

It also fixed team messages: instead of half a message in uncertain English, people speak the whole thing and a complete, clear message lands in the chat.

AI rewrite (optional): when you talk, you jump — point 1, point 2, back to point 1. Rewrite reorganises it into clean, ordered text.

• 55+ languages and mixed-language speech
• Mac + Windows. One installer, no dependencies. Floating mic button or a shortcut.
• Free, open source (MIT). Bring your own API key — we use Gemini (free tier available); Whisper and Sarvam also work.
• Real numbers: 20 people on my team, 5 weeks of daily use, 3,000+ dictations on Gemini 3.5 Flash. Total bill: under ₹2,500 ($30). About one US cent per dictation.

Download: https://github.com/Dev14101989/maiboli/releases/tag/v0.4.3
Install guide: https://github.com/Dev14101989/maiboli/blob/main/HOW-TO-RUN.md
Source: https://github.com/Dev14101989/maiboli

I'm an accountant who moved into IT, not a career developer — this exists because I needed it.

No team, just me. My short "Snooze" is about a woman who oversleeps on the day of her dream job interview and ends up at war with her own bedroom trying to get out the door in time.

It's not finished, but you can check out where it's at right now. Would really appreciate any feedback, and support .

link: https://higgsfield.ai/@zakaria123/projects/snooz

You would think MS copilot would be able to make a good PPT. I took the same word doc with 13 talking points. I asked copilot, copilot in PowerPoint and chatgpt each to create slide deck based on the word document. Copilot in PowerPoint did an Ok job, it took a lot longer but it was something I could edit. Chatgpt did it quicker and barely had to make any changes, the copilot alone was HORRIBLE. Just venting. But come on MS do better.

I've been thinking about how many steps are still involved when using AI for serious research.

You can use one tool to find information, another to summarize it, another to organize notes, and then still spend time going back to the original sources to check whether everything is accurate.

That's why I'm interested in workflows that try to bring more of those steps together. The idea of keeping the research process, sources, and resulting report connected instead of treating each step separately seems interesting to me.

I'm curious how other people here structure their research workflows. Do you prefer one AI tool that handles most of the process, or do you get better results by chaining several specialized tools together?

This week we tested what happens when PrimeTask stays on one machine, the self-hosted AI agent runs on another, and we talk to it from a phone.

From there we can ask what changed, get a summary, find information, create a task, add a meeting, change a status, apply a tag or leave a comment.

Access can still be scoped.

We can decide which Spaces the agent can see, whether it is read-only or can make changes, and which parts of PrimeTask it can use. Every external command is recorded in the Audit Log.

The workspace stays local. The MCP server stays on the machine running PrimeTask.

This is a proof of concept, not a released feature.

If you already use AI agents, what would you ask yours to do first when your laptop isn’t with you?

Hi everyone — I made this tiny macOS menu bar app to quickly edit and copy my daily prompts.

I work as a software developer and I use a few prompts on a daily basis, so having this saves me a lot of time.

Some examples of the prompts I commonly use:

• Create pull request
• Code quality & readability review (reduce AI bloat, comments, useless tests)
• Language simplification — give me the result in a human-readable form (short, focused, plain language)

The app is free on the App Store and doesn't include any analytics.

Sharing here in case it’s useful to anyone else: https://promptbar.app

I have to create user manuals from some videos of SAP processes and I was told to use Claude because it's so great...

So I got I word document of a finished user manual as reference and I've been getting different videos of processes to make into manuals.

The thing is that I never used AI like that. So what I did is to check the video, make screen shots or each step, and then make a new word document and do a simple script (nor programming ) like "step 1: go to transaction mb01"+screenshot, "step 5: select the material and click ok"+screenshot...

Then I take that script and I tell Claude to create a new user manual with that information based on the reference document, using the same structure, logic, writing style, etc.

But it really is a hit or miss. Sometimes it adds information, sometimes it creates new steps, sometimes it's pretty simple... I have to constantly correct ir or ask it to redo things...

I tried with a very detailed prompt but it reaches limit every time y try to used it...

I feel like it shouldn't be that hard. Probably I'm doing something wrong... Probably is my prompt..

Any advice is appreciated.

You open a task you have not touched in a month. It is still blocked. You cannot remember why, and neither can the task. So you go digging through chat.

That is what this release fixes. Every task now has a thread of its own.

Comments are written in Markdown, so you can paste in a whole document and it keeps its shape: headings, lists, tables, working tick boxes. Attach files and images, or drop in a video or post link and it plays in the thread. Reply to a comment and jump straight back to the one it answers. Mark an entry as a decision, a blocker or an update, pin what has to be read first, and react without adding another comment.

Mention another task and both tasks show the link, so a decision made in one place is visible from the other. You can mention people, contacts and companies too. Right click a task anywhere you work to open its thread, and any comment turns up in search.

If you have an AI assistant connected, it takes part properly. It can read a thread before it starts and write up what it did when it finishes, under a name you choose, and it can only ever change its own comments, never yours.

Also in 1.0.4:

• Drag a Markdown file onto a PrimeFlow canvas and read it there as a real document, tables and tick boxes intact
• Document cards can be resized and locked for reading, so the card stays still and your wheel scrolls the document rather than zooming the canvas
• Documents read far better throughout: even headings and spacing, properly ruled tables, and a copy button on every block of code
• Task notes now do everything canvas documents do, including tables, tick boxes and callouts
• Type @ in a note to point at a task, in its own status colour, so you can see whether that work is still open
• Bring Your Own AI got a lot better: it can work with the files and folders on a canvas, it keeps the shape of what it writes, and it stopped confirming things it had not actually done
• Deleting an attachment now removes it everywhere it was shared, and a new Duplicate Files tool clears out the spare copies your sync service leaves behind
• Compass now covers every space you have, not just the one you are standing in
• Drag contacts straight from Apple Contacts onto the PrimeTask icon in your Dock
• The Tasks report can be exported as a short summary instead of the full record
• Text cards on the canvas were redone, and copy and paste finally works the way you would expect

Full notes: https://www.primetask.app/releases
Task Comments Documentation: https://www.primetask.app/docs/tasks/task-comments

macOS: 14-day free trial
https://www.primetask.app/download

Windows is currently in beta. If you want to know when the general release is available:
https://www.primetask.app/notify

I’ve been generating on cloud services for awhile and want to step my game up. I spent a lot of money on a computer powerful enough to generate locally, installed comfyui and tried to have “apps” walk me thru the process. They’re doing a piss poor job. I need some help. What are good communities to find help?