B2B marketing meets AI — for real, not for slides. CEO @Krein_it · AI Marketing Alliance · Author @SpringerNature · Building Krein Tools 🔗 https://nitter.gq/t.co/F1UrV5vye0
Milan, Lombardy
Joined June 2009
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Lapo Chirici retweeted
ANTHROPIC LEAKED A FILE WHERE AN AGENT WITH NO CODE BUILDS A SYSTEM WORTH $100,000 IN 60 MINUTES
the agent costs $0, builds the whole thing locally with no code at all, and month one is already $70K+
services → form → checkout → mailer → cash
it writes nothing - it opens the 6 services you already pay for and configures them itself
at minute sixty there is a live page, a form writing to a sheet, a link that takes money and a sequence that sends itself
no repo, no tests, no diff and no rollback - and that is the whole speed and the whole risk
$100,000 goes in and $96,883 lands in the bank: the checkout takes $2,996, the six tools $120, the agent nothing
the checkout eats thousands of times more than everything the agent did in that hour
the agent closes three quarters of the circle by itself - it builds, it publishes, it waits
you close the fourth quarter, and that is 334 people at $299 the hour never brings
a coded build leaves you something you can read a year later, this one leaves you six accounts
save this and paste it into Claude Code - let it configure these 6 services for you ↓
Lapo Chirici retweeted
ANTHROPIC + GROK LEAKED A FILE WORTH OVER $4M THAT BUILDS A SOLO AI BUSINESS DOING $100K A MONTH IN 60 MINUTES
the hour costs $2.20, and day one can close $800
root → reality → surface → hunt → clock → back to root
5 blocks of 12 minutes, and two of them eat 68% of the bill because only they touch the live feed
Grok 4.6 hands over not a feeling that there is demand, but 4 named fields: who is already doing it, what they offer, what people complain about and where the hole is
the fourth field decides what every block after it builds
Opus 5 gets called exactly 1 time, and every later block quotes it
3 Sonnet 5 run in parallel and produce 4 files in 12 minutes, including the payment link most launches are still missing on day 30
400 signals → 12 letters → 3 replies → 1 payment, and this is the only block that produces a conversation
the hour buys you a page, a link, a queue and a signal list - it does not buy you buyers
save this and paste it into Grok - let it build your ROOT.md ↓
Lapo Chirici retweeted
ANTHROPIC LEAKED 10 TOOLS THAT BUILD A PRODUCT IN 24 HOURS - AND ALL OF THEM ARE FREE
everyone clones the 10 repos, almost nobody stacks them in the right order - the order is the product.
core → scaffold → work → gates → autonomy
the first layer isn't writing code - it's assembling a team: the core in the terminal, procedures as files, plugins on top.
you clone 3 repos and you've hired nobody, yet 6 roles already exist.
the scaffold is the biggest saving on the whole path - you don't design twice what's already solved in the templates.
the patterns sitting in the cookbooks are the exact ones you'd rediscover on your own in week 3.
then the work runs in a room you were never in - an agent where thinking is needed, a direct call where it isn't.
gates replace review, they don't supplement it - the agent sits inside your pull request and rejects before you open it.
a gate that never rejects anything is a status badge, not a gate.
only the last of the 5 layers is autonomy - scan, research, patch, and one report waiting for you while you pressed nothing.
turn autonomy on before the gates and you've just automated your own mistakes.
3 inversions in the order and the same 10 repos produce zero product.
save this and paste it into Claude Code - the repos are the public part, the sequence isn't ↓
Lapo Chirici retweeted
All 50+ B2B SaaS Agents (Free for First 300 People)
CLAUDE AGENT DIRECTORY FOR B2B SAAS - FREE
1. Sales, Prospecting, and CRM (14 agents)
2. Outbound and Cold Email (8 agents)
3. Marketing and Growth (10 agents)
4. Product and SaaS (8 agents)
5. CRM, RevOps, and Finance (6 agents)
6. Customer Success and Retention (5 agents)
7. Finance, Metrics, and Strategy (4 agents)
8. Multi-Agent Frameworks and Orchestration (5 agents)
(72 Hours only)
Like + RT + comment 'AGENTS'
Must Follow me so I can DM you.
Lapo Chirici retweeted
All 17 Outreach Skills (Free for First 300 People)
B2B OUTREACH PLUGIN - FREE
1. Onboarding Skills, triggered via /nl-outreach:onboard (8 skills)
2. Copywriting Skills: cold email, LinkedIn DM, cold call
3. Analysis, Pipeline, and Automation Skills
4. The Persistent Brief, updated once, read by every skill after
(72 Hours only)
Like + RT + comment 'BRIEF'
Must Follow me so I can DM you.
Lapo Chirici retweeted
OFFICIALLY SAYING KIMI K3 IS BETTER THAN CLAUDE FABLE-5 FOR FRONTEND DEVELOPMENT
Tried building the same splashy landing page with both
5x cheaper while being faster + more token efficient.
I can say that Kimi is no longer just the cheap alternative, it's really the best model now.
Lapo Chirici retweeted
Embabel 1.0.0 GA nearly ready...excited!
If you haven't yet tried its beautiful API, sophisticated planning and advanced agentic RAG, now's the time!
#embabel @springcentral @java
github.com/embabel/embabel-a…
Lapo Chirici retweeted
Stop buying expensive $500 courses to learn AI.
I’ve already done it for you. With one list:
Straight to the point. Zero confusion. And no fluff.
Spend a day mastering Claude here: claude101.com
Claude 101: ruben.substack.com/p/claude-…
Claude Fable-5: ruben.substack.com/p/dont-us…
Claude Cowork: ruben.substack.com/p/learn-8…
Claude Code: ruben.substack.com/p/the-cla…
Claude Skills: ruben.substack.com/p/claude-…
Claude Design: ruben.substack.com/p/claude-…
Claude for Excel: ruben.substack.com/p/how-to-…
How to Prompt: ruben.substack.com/p/prompt-…
Claude + Linkedin: ruben.substack.com/p/claude-…
Be good at Claude: ruben.substack.com/p/s
Stop writing like AI: ruben.substack.com/p/its-not…
Claude for your team: ruben.substack.com/p/claude-…
Claude Connectors: ruben.substack.com/p/claude-…
Set up Claude Cowork: ruben.substack.com/p/claude-…
Stop Prompting Claude: ruben.substack.com/p/stop-pr…
Claude to sound like you: ruben.substack.com/p/youre-j…
Stop hitting Claude limits: ruben.substack.com/p/how-to-…
Stop using Claude at work: ruben.substack.com/p/how-to-…
1. Save this list for later (three dots, top right).
2. Share it with a friend by ♻️ reposting this image.
3. Subscribe to my free newsletter: how-to-ai.guide.
Lapo Chirici retweeted
I made a 16-page PDF to get you Claude-certified.
The certificates are official by Anthropic & free...
And the playbook is free too, at how-to-ai.guide. Here's what's inside:
The Claude Certification Playbook.
→ 3 official certificates & the order to take them in.
→ Step from creating an account to downloading.
→ The fake detector (yes, people sell fake ones).
→ The LinkedIn format to showcase the certificates.
→ The copy-paste announcement post on LinkedIn.
→ What you can honestly say about it in interviews.
The certificates take 6 hours.
Getting the playbook takes 2 minutes:
1. Go to how-to-ai.guide. Subscribe for free.
2. Open the welcome email in your inbox.
3. Tap the Notion library link inside.
4. Download "The Claude Certification Playbook."
5. Start with page 4 (the fake detector).
Know someone job hunting? Send them this post. It's the favor.
Lapo Chirici retweeted
This is the best site on the internet to learn harness engineering.
Free. Completely.
Most AI engineers have never heard the term. walkinglabs.github.io/learn-…
Bookmark this site.
Then read this setup ↓
Lapo Chirici retweeted
Fable 5 is staying in Claude Code until July 12.
Someone just turned the entire Fable 5 workflow into 9 simple diagrams.
They cover:
«the daily loop, trust ledger, standing goals, and the 4 optional loops»
«every step is numbered and easy to follow»
«each diagram includes the exact script Claude should run»
«every workflow also has a check to make sure it worked»
And it's completely free.
Just upload the diagrams to Claude and follow along.
save this and bookmark it. you'll definitely need it later.
Lapo Chirici retweeted
Claude Fable 5 will be available again globally tomorrow.
After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests.
We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort.
Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research.
Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again.
Read our full blog: anthropic.com/news/redeployi…
Lapo Chirici retweeted
We've been able to book calls from LinkedIn without pitching once in a connection request or first DM
Founders and sales leaders running this system are converting warm LinkedIn prospects to booked meetings without their outreach looking like anyone else's in the inbox
The system handles the reputation layer, the warming layer, and the conversion layer so by the time a message is sent the prospect already knows your name
Building a magnetic LinkedIn profile and content system that warms your audience before you send a single message, posting on a minimum viable rhythm that compounds over time without burning out, warming every target prospect through genuine engagement over 2 to 3 weeks until they move from cold to warm to hot, then sending a 4-message sequence from connection accepted to booked meeting where no calendar link appears before message 3 and no message could have been sent to anyone else
Each person running the full 8-playbook system books calls with people who reply as if they already wanted to hear from them
RT, follow + comment "PLAYBOOK" and I'll show you how we do it
Lapo Chirici retweeted
I genuinely don't understand why everyone isn't using this yet
Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.
You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.
Here's the whole thing:
> Install Obsidian, create a vault, open it in Claude Code
> Paste Karpathy's wiki idea file and tell Claude to build it
> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it
> Drop any source into raw and say "ingest this"
> Ask questions across everything, forever
Five minutes to set up, and you never start from a blank chat again.
Full step-by-step guide with Claude and Obsidian, link below.
Bookmark this
Lapo Chirici retweeted
Someone finally documented how to actually use Claude Code.
58K+ stars. claude-code-best-practice.
Direct from Boris Cherny and team:
➡️ Always use plan mode, give Claude a way to verify
➡️ Ask Claude to interview you using AskUserQuestion tool
➡️ Use Git Worktrees for parallel development
➡️ /loop - schedule recurring tasks for up to 7 days
➡️ Code Review - fresh context windows catch bugs the original agent missed
➡️ Make phase-wise gated plans with tests for each phase
→ Use cross-model (Claude Code + Codex) to review your plan
➡️ CLAUDE[.]md should target under 200 lines per file
➡️ Use commands for workflows instead of sub-agents
➡️ Have feature-specific sub-agents with skills instead of general QA or backend engineer
➡️ Vanilla Claude Code is better than complex workflows for smaller tasks
→ Take screenshots and share with Claude when stuck
➡️ Use MCP to let Claude see Chrome console logs
➡️ Ask Claude to run terminal as background task for better debugging
➡️ Use cross-model for QA - e.g. Codex for plan and implementation review
➡️ Context rot kicks in around 300-400k tokens, don't let sessions drift past that
➡️ Rewind > correct, /rewind back to before the failed attempt instead of polluting context
➡️ /schedule - cloud-based recurring tasks that run even when your machine is off
➡️ Auto mode instead of dangerously-skip-permissions, a model-based classifier decides if each command is safe
➡️ Build a Gotchas section in every skill, add Claude's failure points over time
The community workflows included:
➡️ Superpowers (234K stars), brainstorming → git worktrees → subagent-driven development → TDD
➡️ Everything Claude Code (219K stars), /ecc:plan → /tdd → /code-review → /security-scan → merge
➡️ Matt Pocock Skills (138K stars), /grill-with-docs → /to-prd → /triage → /tdd → /handoff
➡️ Spec Kit (114K stars), specify → clarify → plan → tasks → implement → analyze
➡️ gstack (112K stars), office-hours → CEO/eng/design reviews → spec → qa → ship → canary
➡️ Cross-Model (Claude Code + Codex) Workflow
➡️ RPI (Research Plan Implement)
➡️ Ralph Wiggum Loop for autonomous tasks
The billion-dollar questions it addresses:
➡️ What exactly should you put inside CLAUDE[.]md, and what should you leave out?
➡️ When should you use command vs agent vs skill?
➡️ Why does Claude still ignore CLAUDE[.]md instructions, even when they say MUST in all caps?
➡️ Can we convert a codebase into specs and have AI regenerate the exact same code from those specs alone?
➡️ Should you rely on Claude Code's built-in plan mode, or build your own planning command?
The daily habits:
➡️ Update Claude Code daily
➡️ Start your day by reading the changelog
➡️ Follow r/ClaudeAI, r/ClaudeCode on Reddit
Repost it. Bookmark it. 👇
Here's the GitHub Repo: github.com/shanraisshan/clau…
Lapo Chirici retweeted
10 GITHUB REPOS THAT SCRAPE THE ENTIRE INTERNET FOR YOU
Bookmark every single one. Each one pulls clean data off any website on earth, the kind of access companies sell behind a sales call and a contract.
1. github.com/mendableai/firecr…
Point it at any website and it crawls every page, renders the JavaScript, and hands back clean structured data an AI can read instantly. It crossed 130K stars and landed in GitHub's top 100 repos. The scraping backbone half the AI startups quietly run on, open for anyone.
2. github.com/unclecode/crawl4a…
The #1 trending crawler on GitHub. Turns any site into clean, LLM-ready markdown, faster than the paid services and with no API key, no account, no per-page fee. A dev built it in days after getting fed up paying $16 for a gated scraper. 51K stars. Apache 2.0.
3. github.com/browser-use/brows…
An AI agent that drives a real browser like a human, clicking, scrolling, logging in, filling forms, and pulling data off sites it has never seen before. Two ETH Zurich researchers built it and it hit 95K stars in about a year. The thing that scrapes pages no simple crawler can reach. MIT.
4. github.com/apify/crawlee
The full professional scraping framework, with rotating proxies, automatic retries, browser fingerprint spoofing, and queue management, all the machinery that keeps you from getting blocked. The exact stack scraping companies charge thousands to operate, handed to you for free.
5. github.com/scrapy/scrapy
The original industrial-strength scraper that has quietly powered data teams for over a decade. Crawl millions of pages, extract anything, export it clean. Battle-tested at a scale most paid tools never reach, and free the entire time.
6. github.com/microsoft/markitd…
Microsoft's own tool that converts any file or web page, PDFs, Office docs, HTML, images, into clean markdown an AI can actually use. The messy-data-to-clean-data step companies build whole pipelines around, open-sourced by Microsoft itself.
7. github.com/D4Vinci/Scrapling
A stealth scraper built to stay invisible, adapting automatically when a site changes its layout and slipping past the bot detection that stops everything else. The cat-and-mouse layer that anti-scraping vendors sell as a premium feature, free and open.
8. github.com/Genymobile/scrcpy
Mirror and control any Android phone from your computer to pull data and automate apps that have no website at all. The bridge into mobile-only platforms that most scrapers can't touch. 130K+ stars. Apache 2.0.
9. github.com/alirezamika/autos…
Show it one example of what you want and it figures out the pattern and scrapes the rest of the site automatically. No selectors, no code to maintain. The "just get me this data" button, in a few lines of Python.
10. github.com/lwthiker/curl-imp…
A version of curl that perfectly mimics a real browser's fingerprint, so the requests sneaking past every defense look exactly like a human with Chrome open. The lowest-level trick the expensive scraping APIs are quietly built on top of.
Companies sell this access for $2,000 a month. The source code is right here.
Lapo Chirici retweeted
DEJA DE PROMPTEAR. EMPIEZA A LOOPEAR.
Encontré un sitio que recopila los loops más usados por la comunidad
→ loops.elorm.xyz
Los propios creadores de Claude Code lo dicen: el futuro no es promptear, es diseñar loops.
No sabes qué son ni cómo crearlos?
Este articulo lo explica detalladamente👇
Lapo Chirici retweeted
You don't need a $500 Claude course.
52 free resources, sorted into 4 modules:
CLAUDE CODE
1. lnkd.in/e7gUgJFe 4-hour build + sell course
2. lnkd.in/eVNQjV66 full Code tutorial
3. lnkd.in/eBBsW3SD Code for beginners
4. lnkd.in/eaHUHfnE full 2026 walkthrough
5. lnkd.in/e6nZb9JZ 32 tricks in 16 mins
6. lnkd.in/ehtPc5Tg complete Claude guide
7. lnkd.in/eX9prA4V beginner to advanced
8. lnkd.in/e-934Yhi Claude features ranked
9. anthropic.skilljar.com the official course
10. code.claude.com/docs official documentation
CLAUDE COWORK
11. lnkd.in/efCGYqNh Anthropic's official intro
12. lnkd.in/eMGATsbn Cowork in 20 mins
13. lnkd.in/eB-8-c7i better than 99% of users
14. lnkd.in/exZCjUbg full beginner walkthrough
15. lnkd.in/epwYqQKA 100M views with Cowork
16. lnkd.in/eeHWHJ49 Cowork on your desktop
17. lnkd.in/eMRDhZYJ Code + Cowork combined
18. anthropic.skilljar.com official course
CLAUDE DESIGN
19. lnkd.in/eKsTX-4T Anthropic's official intro
20. lnkd.in/e42_X9hY Design got unstoppable
21. lnkd.in/eFhPrBYp master 95% in 17 mins
22. lnkd.in/eg7b5hmM master 95% in 10 mins
23. lnkd.in/egy4Q4NQ launch reaction video
24. lnkd.in/eWtwB-nJ why I replaced Canva
25. lnkd.in/eZHgXYn7 Design launch breakdown
26. lnkd.in/eZ6wSdJA design in Code, not Canva
Save this for the next time you want to learn Claude.
Join AI Community : whatsapp.com/channel/0029Va…
Repost ♻️ to help someone in your network.
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Lapo Chirici retweeted
Anthropic just literally spoon-fed you how to use Fable properly.
99% of Claude users missed it.
The way you need to prompt Fable is fundamentally different from all other AI models.
I translated their entire new Fable prompting handbook:
Lapo Chirici retweeted
This was one of the standout AI papers of the week.
(bookmark it)
It tackles a question most self-improving AI agents ignore: is the agent actually discovering anything, or just remixing what it already knows?
How can you tell whether the agent is doing real discovery or just confident retrieval?
The authors give three clean buckets:
- Retrieval is looking something up in a notebook you already have.
- Search is combining tools you already own in new ways.
- Discovery is inventing a new concept that wasn't in your toolkit before.
The issue is that most agents stop at the first two.
The math behind their definition (category theory plus a left Kan extension, if you care) is basically a bookkeeping trick to ask: could the old version of me have produced this result? If yes, it's not discovery. If no, something genuinely new showed up.
They build a Builder/Breaker agent that studies protein mechanics. Over four rounds, the model's fit accuracy actually drops (R² goes from 0.48 to 0.68 to 0.54 to 0.41). At first glance, that looks like a failing agent.
It isn't.
The agent kept taking on harder proteins and rewriting its theory to cover them. Data grew almost 10x while the model code grew only 1.3x. A smaller theory covering a bigger world is exactly what good science looks like.
Why does it matter?
If you optimize for accuracy alone, your self-improving agent will just settle into easy benchmarks and stop. This paper offers a cleaner success signal and asks whether the agent is compressing more of the world into less code over time.
Paper: arxiv.org/abs/2606.01444
Learn to build effective AI agents in our academy: academy.dair.ai/
