- apply to roles you're 70%+ qualified for - tailor every application to the job description, generic CVs get ignored before a human reads them - your CV bullets should show results - keywords matter, ATS filters you out before a recruiter ever sees your name - research the company before every interview - prepare 5-8 STAR stories that cover leadership, failure, conflict, and achievement - the cover letter it's why you specifically want this specific role - follow up within 24 hours after every interview - the question "do you have any questions for us?" is not optional, it's a test - your LinkedIn must match your CV
Difference between candidates who get hired and those who don't is rarely talent
This is what video production cost 5 years ago vs today:
30-second commercial - before AI:
- professional crew: $3,000-$8,000 per shoot day - pre-production: $1,000-$5,000 - post-production: $1,000-$6,000 - ad distribution budget: optional, often separate - total for one spot: $5,000-$20,000
30-second commercial - with AI today:
- 8 shots at $4.50 each = $36 - editing in CapCut = free - voiceover via ElevenLabs = $5 - total: under $50
One 35-second short film used to require a crew, a studio, a director, weeks of pre-production
Two brothers in El Salvador made one in 40 minutes for $7.55
Tools became hundreds of times cheaper literally overnight
Turn your 2-minute repetitive prompt into a 1-second slash command
- same prompt every time - version-controlled via Git, the whole team runs identical commands - one command replaces 10-15 lines you were retyping from memory - dynamic context injected automatically before every run - pre-approve tools so Claude stops asking for permission - commands shared across projects or scoped to one repo - iterate once, improve for everyone on the next pull - turns repetitive workflows into one-word invocations - catches bugs linters miss every single run - the prompt gets better over time, not worse
If you don't own the memory, you don't own the agent:
- memory is what makes your agent get smarter over time - without it, anyone with the same tools can copy your agent overnight - with it, you build a dataset no competitor can replicate - closed memory = your data on someone else's servers - switch models, lose everything your agent learned - model providers are incentivized to lock you in via memory - the model is easy to replace, memory is not - if you don't own the harness, you don't own the memory - if you don't own the memory, you don't own the agent
Starter setup for building a TikTok AI character channel:
> Claude - writes every script, hook, ragebait, and Kling prompts > Nano Banana Pro - generate static character images per scene > Kling 3.0 - animate static images into 5-second clips > ElevenLabs v3 - voiceover per scene, diamond gym energy > CapCut - sync audio, hook cuts, effects, export 9:16 > TokScript - download transcripts from viral videos to train Claude > iProyal - ISP proxy for US-targeted account setup > Shadowrocket - proxy routing on iPhone ($3) > AffiliateNetwork - $1-3 per 1,000 views from brand campaigns > IPQualityScore - verify your IP is clean before creating account
The full system character design Claude training Kling prompts and monetization setup is in the article below 👇
- Claude knows who you are before you type a single word - every article, book, and note compounds into one connected knowledge base - maintenance happens automatically - one new source updates 10-15 connected pages instantly - contradictions and outdated info flagged without you asking - insights saved back into the wiki - morning briefing runs itself every day at 7:30am - call transcripts - decisions filed, actions tracked, automatically - the longer you use it, the smarter it gets - Obsidian is just the window, Claude builds everything inside it
It gets better every single day you add to it
Exact prompts, folder structure, and the Andrej Karpathy framework that makes the whole system work👇
- entire codebase in context every message - follow-ups re-read full history - large PDFs uploaded directly - heavy research run locally - Opus for tasks Sonnet handles - bloated context files every session - no session resets - vague prompts trigger broad compute - same files analysed repeatedly - multi-step tasks not batched
The longer your session runs, the more expensive every single message becomes
- researches markets, competitors, and trends in real time - builds full web apps, dashboards, and internal tools - automates recurring workflows on a schedule - reads and acts inside Gmail, Slack, Notion, GitHub, and 400+ apps - spawns parallel subagents to finish complex tasks faster - routes each subtask to the best AI model automatically - runs everything in an isolated cloud sandbox nothing touches your machine - sends emails with attachments on your behalf
The full beginner's guide is below
How to set it up, how the credit system works, what to watch out for 👇
> Tavily - AI-optimized search > Crawl4AI - best markdown extraction > Playwright - Claude controls a real browser > GitHub - the first MCP every developer should install > MongoDB - most comprehensive database MCP > Memory MCP - Claude remembers across sessions > Notion - your entire workspace through one prompt > Stripe - check revenue, manage subscriptions, debug payments > Figma - design files to code > Cloudflare - manage your entire infrastructure through Claude
This is just the top pick from each category
The full article below covers 35 tested servers across all categories plus exact install commands for Claude Code and Claude Desktop👇
> Suno AI - create audio and content > YouTube Audio Library - free background music > Pexels - free 4K video clips > Pixabay - free photos and videos > CapCut - editing, timers, text overlays > DaVinci Resolve = more advanced editing alternative > Claude - personal channel strategist with memory and content log > Reddit - seed traffic on publishing day > YouTube Partner Program - channel monetization > Headspace - affiliate offers for sleep and meditation niche > Focusmate - affiliate option for ADHD/productivity niche > Amazon - affiliate products for almost any niche
All of this helps you build and monetize a YouTube channel
@loshmi explains the process and shares niches that are still relatively untapped 👇
> Suno AI - create audio and content > YouTube Audio Library - free background music > Pexels - free 4K video clips > Pixabay - free photos and videos > CapCut - editing, timers, text overlays > DaVinci Resolve = more advanced editing alternative > Claude - personal channel strategist with memory and content log > Reddit - seed traffic on publishing day > YouTube Partner Program - channel monetization > Headspace - affiliate offers for sleep and meditation niche > Focusmate - affiliate option for ADHD/productivity niche > Amazon - affiliate products for almost any niche
All of this helps you build and monetize a YouTube channel
- not starting from zero every time you open AI - accumulating knowledge over time - AI synthesizes your sources - finds connections between ideas you might not notice yourself - helps you build real expertise in any niche - generates answers based on your accumulated knowledge - lets you ask complex questions and get answers linked to your own sources - the more you add, the smarter your knowledge base becomes
your knowledge builds on itself every question, every source, every insight makes the next one better
it's the difference between renting intelligence and owning it
- Built in video and music generation directly inside agents - 10+ media providers supported (Runway, xAI, Google, MiniMax, Comfy) - /dreaming memory system with light, deep, and REM phases - Structured task progress, the agent shows each execution step - Improved prompt caching, lower token usage - UI now available in 12 languages - Anthropic removed subscription access for third party harnesses, an API key is now required
- max thinking in one word - ask questions without using up context - see the plan before Claude starts - Claude pulls requirements on its own - Claude extracts requirements before writing code - env files copy automatically - one session writes, another reviews
All these features and how they work were found in the documentation by @sharbel
This alone can put you ahead of 90% of users 👇 https://x.com/sharbel/status/2040461006757892273?s=20
Trust heavily shilled $TWT near the highs, promised token value through its Sept 2025 roadmap, then delivered basically nothing
Since Nov 2025, not a single real project. Then came another Trust Wallet extension exploit in Dec 2025, which led to user losses of over $8M
Now $TWT is down almost 30% in 2 days while the broader market is moving sideways, and the new CEO stays completely silent. No roadmap updates, no explanation, no accountability
And after all that, they quietly removed $TWT from their X banner and bio
As someone who supported the project, believed in it, and invested in it, I was left alone with questions, just like the rest of the community
If you, like me, think this is unacceptable, vote “Slash” :
- restaurants, real estate agents, gyms - they need video content every week - they have no idea how to make it - $100-800 per video is a normal rate - you can produce one in under 2 hours
Stock footage platforms:
- Pond5, Shutterstock, Adobe Stock - AI-generated video is accepted if disclosed - upload once, earn passively - niche content sells better than generic
Viral content + audience:
- build a following around a topic - brand deals start at 10k followers - one viral video can replace a month of work
Most people will keep 'learning' A few will send the first cold DM today
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