r/AI_Application

Not the “replace your entire company with AI agents” stuff.

I mean something small that genuinely stuck.

Maybe:
- summarizing long emails
- brainstorming
- coding help
- voice transcription
- journaling
- research
- automation
- meeting notes
- content drafts

I noticed most AI tools feel exciting for a week, but the ones people keep using are usually the boring tools that quietly save time every day.

Curious what actually survived long term for you.

Not the overhyped “make $10k overnight” stuff.

I’m curious what AI tools people genuinely ended up using every single day after the hype settled down.

For me it’s honestly ChatGPT for brainstorming and research. I thought AI tools would be a phase for me but now I use them almost daily.

What’s yours and what do you actually use it for?

I honestly thought the whole “AI meeting recorder for Apple Watch” thing sounded gimmicky until I started using it for conferences and quick in-person meetings.

Been using Bluedot lately and it’s surprisingly convenient. I just start recording from the watch and later get searchable transcripts, summaries, and action items without needing to touch my laptop during the conversation. Anyone else trying something similar or still using your phone for this stuff?

I got tired of anti-bot systems constantly breaking my Playwright AI agent, so I built Invisible_Playwright: an open-source, MIT-licensed Playwright and Firefox fork patched at the C++ level.

Instead of reusing the same noisy automation fingerprint, Invisible_Playwright generates a different but internally consistent browser fingerprint for each session. The goal is to remove the Playwright automation signals while keeping the browser environment coherent and reproducible.

Category	Invisible_Playwright result
Fingerprint generation	✅ Different, coherent per-session fingerprint
WebRTC	✅ Pass — no public IP leak
PixelScan	✅ Pass — no inconsistencies
CreepJS	✅ Pass — 0 lies
SannySoft	✅ Pass — all green
BrowserLeaks WebRTC	✅ Pass — no public IP leak
reCAPTCHA v3	✅ Pass — 0.90
Fingerprint Pro	✅ Pass — bot=false, tampering=false
Cloudflare / Turnstile	✅ Pass
hCaptcha	✅ Pass
DataDome-style checks	✅ Pass
Kasada-style checks	✅ Pass
Akamai-style checks	✅ Pass
Imperva-style checks	✅ Pass
HUMAN / PerimeterX-style checks	✅ Pass
Arkose-style checks	✅ Pass

Repo: https://github.com/feder-cr/invisible_playwright

Do people still use Fast Api for production code for AI apps considering spring boot is widely used lib for reliable and secure app development ?

my question for more towards do people rely on fast api for small scale ai apps in production ?

We built a SaaS product and our onboarding is still manual founder calls and Notion checklists. Users sign up, poke around, and drop off because they don’t know what to do next.

I want an AI layer that watches what they do in-app, guides them to the next best action, and answers basic questions without sending them to docs. If they get stuck for more than 24 hours, I want a human alert.

The tools I’ve tried either blast generic tours or hallucinate answers. I need it to use our real product data and knowledge base, not guess. How are teams applying AI to onboarding that actually helps and knows when to hand off?

Running an older version of WPS Office that predates the AI features and considering upgrading. Before I do I want to understand specifically what the AI addition actually brings to the Spreadsheets side of things rather than just the document and PDF features which seem to get most of the attention.

What does WPS Spreadsheets AI actually do and is it genuinely useful for everyday spreadsheet work or more of a novelty? Would love to hear from anyone who made the same upgrade and noticed a meaningful difference in their spreadsheet workflow

Spent the last few weeks actually testing "free" AI companion apps because I kept getting hit with paywalls after getting attached to a character. Honest finding: most are free trials in disguise. Pi AI is the only one with zero paid tier at all. Character.AI is genuinely usable free but doesn't build memory over time. SoulLink surprised me that memory actually carried over between sessions without paying, and the companion texted me first a few times which felt weirdly nice. Still early but the free tier felt the most complete. Has anyone else been going down this rabbit hole? Curious what's actually sticking for people long term.

Maybe it's just me, but it feels like all these apps are doing too much.

Things like 'AI agents', 'autonomous workflows', 'multi-agent systems', and 'revolutionary productivity' seem like buzzwords. I would rather not watch 15 tutorials.

The tools I actually like and use on a daily basis are the simple AI tools. Fixing my writing. Summarizing things. Organizing notes. Brainstorming. Automating stuff.

These apps seem to be more concerned with the buzz and less with normal consumers. The majority of people don't need an AI operating system.

I actually find that the simpler it is, the more I actually find it useful.

Do others see it the same way? Do you actually find AI tools that are both useful and simple?

I always thought AI meeting apps were mostly for online calls until I started using Bluedot more for in-person stuff too.

The new Apple Watch app has actually been useful for conferences, field meetings, real estate walkthroughs, quick client chats, basically all the conversations where I normally forget details later. I like that it records quietly and later gives me transcripts, summaries, and action items automatically.

Are you mostly using AI meeting tools for online calls, or are you using them in real-world meetings too?

Step 1: Replace “review” with the actual scope.

Before (4.6): Claude would try to understand what you meant, with freedom.

After (4.7): Does exactly what you typed.

Old:

Review this contract.

New:

Review this contract. Flag risks per clause. Rate severity 1-5. 
Suggest one rewrite per risky clause. Return as a table.

The fix: Name every output. Name the order. Name the boundaries.

Step 2: Define length.

Before (4.6): Roughly the same length each time, regardless of input size.

After (4.7): Sizes the answer to what it thinks the task is. Long input + “summarize” = long summary. If you want a short summary, be explicit.

Old:

Summarize this report.

New:

Summarize this report in exactly 5 bullet points. 
Each bullet under 15 words. First word of each bullet: an action verb.

The fix: Name the format and the cap.

Step 3: Use positive instructions only.

Negative instructions stick to the literal sentence on Claude 4.7.

They don’t work. (it’s kinda funny to say “don’t be negative” which is negative).

Old:

Don't use jargon. Don't use buzzwords. Don't sound like a marketer.

New:

Write in plain English a 16-year-old could read aloud.
Use short, concrete words: simple, specific, real.
Replace "leverage" with "use." Replace "scalable" with "works at any size."

Step 4: Use action verbs only.

Each action verb tells Claude 4.7 to ship something specific. And 4.7 loves that.

Old:

Can you help me with the email?

New:

Go to my Gm ail. Find [contact] and read our last conversation.
Write the answer email. Final draft. Send-ready.
Goal: book a meeting with the CRO of Snowflake by Friday.
Length: under 90 words.
Tone: confident, casual, specific.

Step 5: Calling “tools”.

A “tool” is, for example, when Claude goes to the web to find information.

Before (4.6): Called tools frequently.

After (4.7): Calls fewer tools. Reasons more between calls.

The fix:

If quality is good, trust the new default.

If you want more tool use, prompt explicitly. For example:

Use web search aggressively. Verify every claim with at least 2 sources.

Step 6: The new tone.

Before (4.6): Warmer. Validation-forward. “Great question!” energy. More emojis.

After (4.7): More direct. Less validation. Almost zero emojis.

The fix (if you want a warmer tone back):

Use a warm, conversational tone. Acknowledge the user's framing before answering.

Even better: paste 2-3 sentences in the voice you want, and tell Claude to match the rhythm of those examples.

Step 7: Add “go beyond the basics” on creative tasks.

This phrase is from Anthropic’s own Claude 4.7 doc. It pushes 4.7 past the literal minimum on creative or open-ended work. Feels great when you finally try it!

Old:

Build a landing page for my AI consultancy.

New:

Build a landing page for my AI consultancy.
Sections (in this order):
- Hero (headline + subheadline + CTA)
- Logo bar (6 client placeholders)
- 3 case-study cards (problem / what I did / result)
- Service blocks (workshops, deployment, sprints, 
  fractional Chief of AI)
- Testimonial carousel (3 quotes)
- About me (180-word bio + headshot placeholder)
- Newsletter signup
- Footer
Style: editorial, serif headlines, sans-serif body, generous whitespace.
Animations: subtle on scroll. No purple gradients.
Go beyond the basics. Polish like it's a real client deliverable.

Saw a thread today about Obsidian’s synergy with AI being genuinely powerful — not just for note-taking but for building a living knowledge base. That clicked with me.

I built llm-wiki-compiler to do exactly that: ingest raw sources and let the LLM compile them into an interlinked markdown wiki. It’s not organization — it’s generation. New pages, new links, new structure, all maintained by the model.

If you already use Obsidian, the output drops right into your vault. If you don’t, it’s still plain markdown on disk that you own forever.

The key shift: instead of treating notes as static files, you treat the wiki as a knowledge artifact that compounds over time. Every query output saved back in makes the next query better.

Would love to hear how Obsidian power users are integrating AI into their vaults.

The whole Claude Cowork concept is basically turning AI into a real workspace/system instead of just chatting with it.

Main setup was:

• ABOUT ME folder
• OUTPUTS folder
• TEMPLATES folder
• global instructions
• anti-AI-writing-style rules
• reusable templates/workflows
• keeping context files short/high-signal

One part I liked was the about-me.md workflow.

The prompt starts with:

“You are building my about-me.md file for my Cowork folder.”

Then Claude interviews you with questions like:

• What does a good week of work look like?
• What separates great work from average work?
• What patterns in your industry make you cringe?
• What are your non-negotiables?

And instructions like:

• “If I give a vague answer, push back.”
• “Every sentence should carry signal.”
• “Extract the patterns from my answers.”

Another useful part was reusable templates:

“Use the template in TEMPLATES/[file-name]”

The anti-AI-writing-style file was interesting too.
The guide talked about banning generic AI words/patterns, removing repetitive phrasing, limiting paragraph length, etc.

Honestly feels closer to building a personal AI operating system than normal prompting.