digiesk retweeted
claude's fable 5 just got banned by the US government.
i tested it against Opus 4.8 across 30+ active ecom client accounts that did $21M in revenue last month before it went down.
opus 4.8 gives you the same results when you know how to prompt it.
so i put together the exact 5 prompts we use internally to print money on google ads.
follow + comment "GOOGLE" and i'll send it over.
(repost for priority access)
digiesk retweeted
Hace menos de 48 HORAS desde que Anthropic lanzó Claude Fable 5.
La gente ya está creando cosas que te dejarán boquiabierto.
27 ejemplos LOCOS:
(No te pierdas el 5º)
digiesk retweeted
The full playbook for building a $10,000/month AI audit business from scratch.
1. The model explained
2. Discovery call
3. AI analysis
4. How to deliver the report
5. Review call structure
6. How to start & scale
(bookmark this)
digiesk retweeted
Claude Mythos is Insane!
❤️🔥Just recorded a 12-min tutorial on how to build animated, award-Winning websites with Claude Fable 5!
digiesk retweeted
Instead of panicking over an Excel error at 11 pm.
Let these 3 tools build the whole thing in 7 minutes:
(Claude builds. ChatGPT edits. Shortcut perfects)
✦ Build it - Claude Cowork
Step 1. Go to claude .com/download.
Step 2. Open Claude, click "Cowork."
Step 3. Select your folder (Claude's workspace).
Step 4. Pick Opus 4.8. The only model. Don't argue.
Step 5. Toggle adaptive thinking ON. Always.
But here's the mistake:
Don't ask for "a spreadsheet."
Hand Claude a template instead: purpose, sheets needed, formatting. Then add the magic line:
"List your top 10 assumptions first."
You approve the 10. Then Claude builds.
Just 7 minutes instead of 7 hours.
✦ Edit it - ChatGPT in Google Sheets
Step 1. Open the sheet Cowork just built.
Step 2. Extensions → Add-ons → Get.
Step 3. Search "ChatGPT." The official one.
Step 4. Install it. It's $0. Completely free.
Step 5. Tag any tab with @ ("@ Assumptions"...).
This is the one that edits live.
"Visualize @ Forecast" → instant chart.
"Summarize @ P&L" → done.
It even edits the whole file & asks before touching.
Rule of thumb: Edit here. Never start here.
✦ Perfect it - Shortcut .ai
Step 1. Open Shortcut .ai in a new tab.
Step 2. Find the prompt panel on the right side.
Step 3. Reuse your same 10-assumption template.
Step 4. Select the cells AI should touch first.
Step 5. Type the style command: "Look good."
Yes, that simple.
The result is board-ready output in seconds.
The catch: it has no context from the Claude setup.
The fix: add your skills + preferences manually.
✦ The full stack
Claude Cowork → Google Sheets → ChatGPT
Cowork wins the blank page.
ChatGPT is faster live.
Shortcut polishes.
Never edit inside Cowork. Never start with ChatGPT.
Read my entire workflow: ruben.substack.com/p/how-to-….
✦ The 3 rules that change everything
1. No coded numbers. Input lives on Assumptions.
2. Named ranges. So formulas read like English.
3. Use @ everywhere. Tag tabs across all your tools.
Pro tip: The biggest mistake across all 3 tools
Describing steps instead of outcomes.
Don't say "Add a column, then SUM rows 2 to 50."
Say "Show me total revenue by region."
Let the AI figure out "the how."
And skip the losers: Copilot, Grok, Gemini.
$20/mo pays for itself in week 1.
To download my personal Claude Cowork folder:
Step 1. Go to how-to-ai.guide.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open my welcome email (most skip this).
Step 4. Hit the automatic reply button inside.
Step 5. Open Notion link, download ".md files."
Bonus. Enjoy my best copy-paste prompts, too.
digiesk retweeted
you are COOKED if you can't make $20K+ per month online in 2026
1. you can use AI to generate 300 posts in 15 minutes
2. you can get millions of views without spending a penny on ads
3. you can put words in a document and sell it 1000x for $50+ each
4. you can hire workers for $2.50/hr
100 years ago you needed your life savings just to START a business
today you can start for free on your iPhone in seconds
My 1.3 to 2.4 GPA teenager students that began working with me 10 months ago are making $30K–$80K+/month now
I got a student Zain was earning minimum wage at a café in may 2025... now he's making $78K/month and bought an AMG Mercedes
to help you guys , I've decided to LEAK the full recording of my $15M+ LIVE 21 X Accounts Case Study printing $30K+ per month EACH for FREE for the next 24 hours
90 minutes VIP COURSE. usually $3K+ to access.
what's inside:
→ how I made $100K from ONE X post in 10 minutes for my friend Michael
→ 7 case studies of accounts doing $100K per month each on X
→ how Parker did $570K in 3 months with one X account
→ why accounts with 6.5M followers make LESS than mine with 13K views
→ the DM automation software sending 1000+ messages daily for free (send link to purchase ebook)
→ the copywriting crash course formula turning comments into $10K–$100K sales
→ a 3 month gameplan for you : how to choose a product to sell, how to make tweets that generate millions of views and convert to $10K/mo
DELETING IN 24 HOURS
comment "X" and I'll DM it to you
**must be following + retweet to receive**
digiesk retweeted
IDEA: reselling open-source repos to businesses. the play nobody talks about
thousands of Github repos solve real business problems. free. open. production-ready
and 99% of businesses will never find them
here's how to turn ANY open-sourced solution into $2,000+/month per client:
1. find a tool that solves an expensive problem
go to GitHub Trending. filter by stars, recent activity, and clear documentation. look for tools that replace something businesses currently pay $500-2,000/month for
examples that exist right now:
- CRM systems (Twenty, $0 vs Salesforce at $300/seat/mo)
- helpdesk platforms (Chatwoot, $0 vs Intercom at $1,200/mo)
- analytics dashboards (Plausible, $0 vs Mixpanel at $800/mo)
- scheduling tools (Cal.com, $0 vs Calendly Business at $480/mo)
- email marketing (Listmonk, $0 vs Mailchimp at $600/mo)
- form builders (Formbricks, $0 vs Typeform at $400/mo)
- project management (Plane, $0 vs Jira at $700/mo for a team)
these aren't toy projects. they have 10k-50k+ stars, active communities, and companies already running them in production
2. pick ONE niche
don't be "we deploy open-source tools." be "we replace Salesforce for real estate brokerages" or "we set up private analytics for healthcare companies that need HIPAA compliance"
the niche is where the margin lives. a generic deploy costs you $2k/client in support. a niche deploy costs you $200 because you've done it 15 times and everything is templated
3. deploy it on a $20-50/mo VPS
Hetzner, Railway, Coolify, or a simple DigitalOcean droplet. Claude Code walks you through the entire setup. most of these tools have one-click Docker deploys
your infrastructure cost per client: $20-50/month
what you charge: $2,000-5,000/month (depends on the niche)
everyone wins. they save money. you make money. the math is stupid simple
4. wrap it in their language
not "self-hosted Chatwoot instance on Docker"
say "your own private customer support platform with zero per-seat fees, full data ownership, and custom branding"
businesses don't buy technology. they buy outcomes. "you'll never pay per-seat pricing again" closes deals faster than any feature list
5. build the moat with customization
the open-source tool is the foundation. your value is:
- custom integrations with their existing stack
- branded interface matching their company
- ongoing maintenance and updates
- priority support with a human who knows their setup
this is what separates a $2k/month retainer from a one-time $500 deploy. the tool is free. the orchestration is the product
6. find clients where they already complain
search X and Reddit for "[tool name] too expensive" or "[tool name] alternative." these people are pre-qualified. they already know they have a problem and they're actively looking for a solution
post case studies: "replaced $14k/year Intercom bill with a self-hosted solution for a 12-person team. same features. they own their data now"
screenshots of real savings close deals. not pitch decks
7. scale by stacking tools per client
client already paying you $3k/mo for their CRM? offer analytics for $1,500 more. then email marketing for $1,000. now you're their entire software infrastructure for $5,500/mo and they're still saving money vs their old SaaS stack
one client. five tools. you deployed each one in an afternoon
the part nobody talks about:
these businesses will NEVER find these GitHub repos. they will never run a Docker container. they will never SSH into a server. they will google "affordable CRM for small team" and find you
open source is the new wholesale. the code is free. the packaging is where the margin lives
one person can run 5-10 clients. a two-person team scales to $30-50k/month. no funding needed. no office. no employees
someone is going to do this in your niche. might as well be you
study this
digiesk retweeted
this guy literally put a full AI engineering curriculum on GitHub and made it 100% FREE 🤯
435 lessons.
20 phases.
320 hours.
The rule that makes this curriculum completely different:
Every algorithm gets implemented from raw math before a single framework gets imported.
You build the backprop.
You build the tokenizer.
You build the attention mechanism.
By the time you use PyTorch, it’s just a shortcut for something you already know how to code from scratch.
It spans four languages:
→ Python for ML pipelines
→ TypeScript for agent tooling
→ Rust for performance-critical components
→ Julia for numerical computation
And the best part?
Every single lesson ships something you can actually use.
You walk away with fully deployable prompts, SKILL. md files, agents, and MCP servers.
The curriculum scales from foundational math all the way up to autonomous agent swarms and production infrastructure.
Free, open-source, and MIT licensed.
repo in 🧵↓
digiesk retweeted
Claude For Small Business is INSANE.
I've built a complete breakdown of all 31 Anthropic Small Business skills that maps every workflow, connector, and automation in under 10 minutes.
The same skill stack that had 382,000 downloads on its first day.
Financial operations, sales and client work, HR and hiring, marketing and growth, reporting and dashboards.
Inside the breakdown:
- All 31 skills organised by function with the 5 to run first
- The 12 connector setup guide in priority order with permission settings for every sensitive action
- Worked examples for Business Pulse, Invoice Chase, and Job Post Builder with real output shown
Want a copy? Like + Comment "31" and I'll send it over ASAP
(Must be following)
digiesk retweeted
ANTHROPIC JUST LAUNCHED A PREDICTION MARKET TRADING BOT FRAMEWORK WITH A 68.4% SUCCESS RATE.
Not a research paper.
Not a concept.
A working framework anyone can deploy right now.
Here is why 68.4% is a number that should stop you in your tracks.
The best human prediction market traders in the world operate at 55% to 60% accuracy.
Market consensus sits at 50% by definition.
A systematic edge above 60% is what quant funds spend decades and billions trying to build.
Anthropic just open-sourced a framework that hits 68.4%.
Here is what makes this different from every other trading bot you have seen.
Most bots react to price movements.
This framework REASONS about probability.
It reads the market question. It searches for relevant information. It weighs evidence. It accounts for base rates. It identifies where the crowd is systematically wrong.
Then it places the bet.
The same probabilistic reasoning Claude uses to answer complex questions is now being applied to identify mispriced contracts on Polymarket and Kalshi before the market corrects.
The edge is not speed.
It is reasoning quality.
And reasoning quality is exactly what Claude was built to deliver.
The prediction market is the perfect testing ground for AI intelligence.
You cannot bluff your way to 68.4% over thousands of markets.
Either the reasoning is correct or it is not.
This framework says the reasoning is correct more than two thirds of the time.
Bookmark this before the edge closes.
Follow @cyrilXBT for every Anthropic release that changes how money gets made.
digiesk retweeted
TWO SENIOR STAFF ENGINEERS AT AIRBNB JUST GAVE A LIVE LECTURE ON HOW THEY ACTUALLY BUILD WITH AI AGENTS IN PRODUCTION.
Not a tutorial creator.
Not a demo builder.
Senior Staff Engineers at one of the most technically demanding companies on earth.
Airbnb already shipped one of the most ambitious LLM agent migrations in production history.
These are the engineers who did it.
Showing exactly how they think. How they build. How they debug. How they ship.
In 15 minutes.
Free.
Here is why this specific lecture matters more than every other agentic coding resource you have seen.
Most content about AI agents is made by people who have never shipped agents to production at scale.
They show you what works in demos.
The Airbnb engineers show you what works when millions of users depend on it.
The gap between a demo agent and a production agent is not a technical gap.
It is a judgment gap.
Knowing which architectural decisions create silent failures at scale.
Knowing when to trust the agent and when to add a human checkpoint.
Knowing how to debug a system where the failure mode is not an error message but a subtly wrong output that looks correct.
That judgment comes from shipping real systems to real users.
Airbnb has done it.
These engineers have done it.
They gave you 15 minutes of everything they learned.
Most builders are guessing.
These engineers ship.
Bookmark this and watch it before you write your next agent.
Read the complete article below for the full implementation guide.
Follow @cyrilXBT for every lecture from the engineers actually building at the frontier.
digiesk retweeted
SOMEONE JUST OPEN SOURCED A WHATSAPP API THAT COSTS NOTHING PER MESSAGE AND RUNS ENTIRELY ON YOUR OWN SERVER.
The WhatsApp Business API charges per message.
Every message you send. Every message you receive. A fee on top of a fee on top of a subscription.
OpenWA eliminates all of it.
One Docker command. The whole thing is live on your machine.
Zero per-message fees. Zero vendor lock-in. Zero hidden paywalls.
Here is what the pluggable architecture actually means.
You swap the entire backend through config alone. Never touch a line of application code.
SQLite for zero-config local development. PostgreSQL when you go to production. Flip one setting. Done.
Local storage when you are starting out. S3 or MinIO when you need to scale. Flip one setting. Done.
Memory cache for simple setups. Redis when speed matters. Flip one setting. Done.
Here is everything you get out of the box:
Full REST API for text, media, reactions, and bulk sends.
Multi-session support so you run multiple WhatsApp accounts on one instance simultaneously.
Real-time webhooks with HMAC signatures.
Groups, Channels, and Labels fully covered.
A complete React dashboard for sessions, webhooks, and API keys.
API key authentication, rate limiting, CIDR whitelisting, and audit logging built in from day one.
The wildest part is the setup time.
One Docker command.
Dashboard. API. Swagger docs. All running.
The businesses currently paying a middleman per message to do exactly this are going to discover this repo eventually.
The ones who find it first get 6 months of zero-cost WhatsApp automation before their competitors catch up.
90 stars. MIT License. 100% open source.
Bookmark this before you pay next month's WhatsApp API bill.
Follow @cyrilXBT for every open source build that makes an expensive tool free the moment it drops.
digiesk retweeted
I spent 65 hours creating a NEW Miro board which shows you exactly step by step how I made $15M with my digital products business
it includes case studies of 8+ accounts on X doing $100K/month profits each
( including full funnels )
Comment “Miro” and I’ll send it to you via DM
**must be following + retweet to receive
digiesk retweeted
SOMEONE BUILT THE MOST COMPREHENSIVE CLAUDE CODE SYSTEM ON THE INTERNET AND OPEN SOURCED THE ENTIRE THING.
55 agents. 208 skills. 72 slash commands.
Built and won at the Anthropic x Cerebral Valley hackathon.
10 months of daily real-world use before it was ever published publicly.
This is not a collection of prompts someone threw together over a weekend.
This is a production-grade agent harness that has been stress-tested across thousands of real sessions and refined until it works reliably at scale.
Here is what you actually get when you install it.
55 specialized agents each built for a specific function. Not one agent trying to do everything. 55 agents each doing one thing exceptionally well.
208 skills covering every repeating workflow a serious builder runs. Research. Code review. Documentation. Testing. Deployment. Content. Analysis. Each one built once and callable forever.
72 slash commands that compress complex multi-step workflows into a single word.
A security scanner called AgentShield that audits your entire Claude Code configuration for vulnerabilities, misconfigurations, and injection risks across 5 categories before you deploy anything.
Cross-harness support for Claude Code, Codex, Cursor, OpenCode, and Gemini so the investment you make in this system is not locked to one tool.
A dashboard GUI with dark and light theme so you can monitor your entire agent operation from one screen.
Memory persistence that carries context across sessions so you never start from zero.
1,282 tests. 98% coverage. 102 static analysis rules.
This is the infrastructure layer most builders are trying to assemble piece by piece from 15 different repos.
Someone already built the complete version. Won a hackathon with it. Then gave it away for free.
The builders who install this this weekend will have a Claude Code setup that took 10 months of daily iteration to build.
Installed in one afternoon.
github.com/affaan-m/everythi…
Star it. Fork it. Build on top of it.
Bookmark this.
Follow @cyrilXBT for every Claude Code repo worth your weekend the moment it surfaces.
digiesk retweeted
Most people will go to bed tonight the same way they woke up this morning.
Spend 1 hour with this. A MIT lecture on generational wealth that teaches you more about money, compounding, and building something that outlasts you than 20 years inside any hedge fund, investment bank, or financial institution ever could.
Wall Street teaches you how to make money for someone else.
This teaches you how to build something for yourself. The people who watch this tonight will make one decision differently this week.
That one decision will compound for the next 20 years. The people who skip it will keep taking financial advice from people who profit when they stay confused. Completely free.
Bookmark this before you open Netflix
