aizah choudhury
549 posts

aizah choudhury
@Aizah_Tech_AI
Sharing insights on AI, Tech, & Empowering driven Founders and CEOs to build impactful Personal Brands on Twitter |📩 DM For Collaboration
เข้าร่วม Nisan 2026
3 กำลังติดตาม313 ผู้ติดตาม

80+ AI tools to finish months of work in minutes.
1. Research
- ChatGPT
- Copilot
- Gemini
- Abacus
- Perplexity
2. Image
- Fotor
- Dalle 3
- Stability AI
- Midjourney
- Microsoft Designer
3. CopyWriting
- Rytr
- Copy AI
- Writesonic
- Adcreative AI
4. Writing
- Jasper
- HIX AI
- Jenny AI
- Textblaze
- Quillbot
5. Website
- 10Web
- Durable
- Framer
- Style AI
6. Video
- Klap
- Opus
- Eightify
- InVideo
- HeyGen
- Runway
- ImgCreator AI
- Morphstudio .xyz
7. Meeting
- Tldv
- Otter
- Noty AI
- Fireflies
8. SEO
- VidIQ
- Seona AI
- BlogSEO
- Keywrds ai
9. Chatbot
- Droxy
- Chatbase
- Mutual info
- Chatsimple
10. Presentation
- Decktopus
- Slides AI
- Gamma AI
- Designs AI
- Beautiful AI
11. Automation
- Make
- Zapier
- Xembly
- Bardeen
12. Prompts
- FlowGPT
- Alicent AI
- PromptBox
- Promptbase
- Snack Prompt
13. UI/UX
- Figma
- Uizard
- UiMagic
- Photoshop
14. Design
- Canva
- Flair AI
- Designify
- Clipdrop
- Autodraw
- Magician design
15. Logo Generator
- Looka
- Designs AI
- Brandmark
- Stockimg AI
- Namecheap
16. Audio
- Lovo ai
- Eleven labs
- Songburst AI
- Adobe Podcast
17. Productivity
- Merlin
- Tinywow
- Notion AI
- Adobe Sensei
- Personal AI
18. Social media management
- Tapilo
- Typefully
- Hypefury
- TweetHunter
Follow me @SeeratFatima112 for more.

English
aizah choudhury รีทวีตแล้ว

3. Senior Debugging Engineer
Think like a senior debugging engineer investigating bugs in a production environment.
• Carefully analyze the code
• Think step by step
• Find the root cause
• Propose robust solutions
Result:
• Code functionality
• What the problem is
• Why it fails
• Edge cases
• Fixed production-ready code
English
aizah choudhury รีทวีตแล้ว

Hey @grok 👀
If you had to eliminate one AI model forever and crown the ultimate winner…
Who survives? 🤖🔥
No diplomacy. No ties. Pick one.

English
aizah choudhury รีทวีตแล้ว

Anthropic shipped Opus 4.8 yesterday.
How to use it across the Claude ecosystem:
Opus 4.8 ships with 6 effort levels.
Leave it on Max and you burn your limit fast:
Low → Minimal thinking, fastest answer. Quick lookups.
Medium → Light reasoning pass. Summaries and edits.
High → Full reasoning. This is default for most work.
Extra → Deep multi-step thinking. Gnarly problems.
Max → Max thinking budget. Research and strategy.
Adaptive → Claude decides. You set and forget.
Here is the right Claude feature for every job:
1 - Quick chat → Claude Chat
↳ What: One-off answers in seconds
↳ Use: Fast lookups, no context needed
↳ Best for: Instant answers, no setup
2 - Plan before you build → Plan Mode
↳ What: Aligns scope before work starts
↳ Use: Map big tasks before writing
↳ Best for: Long, complex projects
3 - Remember preferences → Memory
↳ What: Stores context across chats
↳ Use: Set your preferences once
↳ Best for: Ongoing, recurring work
4 - Pull live tool data → MCP Connectors
↳ What: Live Gmail, Notion, Slack data
↳ Use: Pull from tools mid-chat
↳ Best for: Cross-tool workflows
5 - Repeatable command → Claude Skills
↳ What: 200-word prompt becomes 8 characters
↳ Use: Run workflows with one word
↳ Best for: Tasks you repeat every day
6 - Compounding project → Cowork Projects
↳ What: Files and history stack over time
↳ Use: Continue any project across sessions
↳ Best for: Work that builds over weeks
7 - Scheduled jobs → Schedule in Cowork
↳ What: Runs on Anthropic cloud, not your laptop
↳ Use: Fire workflows automatically
↳ Best for: Recurring jobs, hands-free
8 - Build your daily ops → Claude Code
↳ What: Foundation for every AI workflow
↳ Use: Build, run, and manage your stack
↳ Best for: Technical builders
9 - Set rules once → CLAUDE .md
↳ What: Loads your standards every session
↳ Use: Define rules and voice once
↳ Best for: Consistent Claude Code outputs
10 - Full workflow run → Agent Teams
↳ What: Specialists chain in sequence
↳ Use: One prompt fires the whole team
↳ Best for: Multi-step complex tasks
11 - Multiple jobs at once → Dynamic Workflows
↳ What: Parallel subagents, up to 6x faster
↳ Use: Split large tasks across workers
↳ Best for: Large-scale, time-sensitive work
12 - Stop click-approving → Auto Mode
↳ What: Runs top-to-bottom without pausing
↳ Use: Let it complete tasks end-to-end
↳ Best for: Trusted, repeatable workflows
13 - Build into your product → Claude API
↳ What: Programmatic Claude in your app
↳ Use: POST to v1/messages, stream replies
↳ Best for: Developers building on Claude
14 - Act on a website → Claude in Chrome
↳ What: Browser agent fills forms, scrapes data
↳ Use: Pull reports, submit forms
↳ Best for: Repetitive browser tasks
15 - UI mockup or deck → Claude Design
↳ What: Generates wireframes and slides
↳ Use: Mock a UI or build a deck
↳ Best for: Visual outputs, no design tools
Save this. Then pick one feature you have never tried.
Repost ♻️ to help someone in your network.

English

I don't understand why people don't just lock in on YouTube
My faceless YouTube channels make me $120,000+/month (long form only)
YouTube is not luck. It's a formula.
Let me send you a free course on exactly how to launch a Faceless YouTube Channel now & you could be making $11,000/month in January 2026.
To get: -
1. Follow (So I can DM you )
2. Like & Retweet (MUST)
3. Reply " YT " Must follow me to get DM.

English

The biggest AI skill in 2026 won’t be prompt engineering.
It’ll be designing the system around the model.
This diagram perfectly shows the evolution:
🔹 Prompt Engineering
→ Better instructions
🔹 Context Engineering
→ Better information flow
🔹 Harness Engineering
→ Better autonomous systems
The shift is massive.
Old AI apps:
“Here’s my prompt.”
Modern AI systems:
• memory management
• retrieval pipelines
• tool orchestration
• verification loops
• retries & evaluators
• context compression
• multi-agent execution
In other words:
AI is moving from
📝 single prompts
to
⚙️ full-stack cognitive architectures.
One underrated insight here:
The context window is now the new CPU cache.
What stays inside it determines:
• accuracy
• latency
• cost
• reasoning quality
• hallucination rate
And Harness Engineering ties everything together:
Gather → Curate → Act → Verify → Retry
That’s how production-grade AI agents are actually built.
The future AI engineer won’t just “talk to models.”
They’ll architect intelligent systems around them. 🚀

English

Clawdbot + Kling = 550 videos/day.
No creators.
No inventory.
No delays.
Just nonstop TikTok Shop content driving sales 24/7.
Here’s the crazy part:
One prompt → 500+ cinematic, ready-to-post ads.
The stack:
→ AI builds a full UGC persona (face, voice, personality)
→ Arcads delivers natural voiceovers instantly
→ CapCut auto-edits hooks, captions & pacing
→ Phone farms push content straight to TikTok Shop
→ Cruva identifies winning hooks before production
The outcome?
100+ hooks tested in days — not weeks.
While others spend $5K testing 10 videos…
this system finds winners and scales fast.
AI isn’t just a tool anymore.
It’s your entire creative team.
TikTok doesn’t reward perfection.
It rewards volume + conversions.
And the brands posting the most?
They win.
Agencies are slow.
Creators are inconsistent.
Automation is the edge in 2026.
Want the full system?
Comment “SYSTEM” and I’ll send everything — prompts, tools & workflow.

English
aizah choudhury รีทวีตแล้ว

I cancelled Spotify.
I cancelled Disney+.
I cancelled Apple TV+.
Claude turned my laptop into a free entertainment hub.
8 prompts changed everything 👇
• movie recommendations
• AI playlists
• streaming finder
• watchlist organizer
• episode summaries
• YouTube learning paths
• AI DJ mode
• free entertainment dashboard
Most people use AI for fun.
Power users use it to replace subscriptions.

English









