super.work

Super is your team ultimate AI search engine and assistant, based on all company data.

Founder

Slite

Founder and CEO 🛰

Staffit

Launched in college, Staffit let recruiters without technical skills assessing their candidates.
We were offering proper tests based on projects, rated with peer assessments (candidates reviewing each others in a controlled manner).

Co-founder

CEO at Slite (YC18) | We build the first knowledge base on autopilot, in remote since 2016!

Currently hard at work building Super 🔥

Super is our ultimate AI search and assistant. It plugs to your company data and comes with the recipes and tools for your team to get instant benefit from AI at work
 👉 super.work


And of course we keep growing Slite! Your team dead simple yet crazy powerful knowledge base, since 2017. 

I'm fortunate to lead a diverse team of exceptional individuals spread across 10+ countries 🇮🇳 🇬🇷🇱🇹 🇦🇷 🇬🇧 🇳🇱 🇫🇷 🇳🇴 🇺🇸 🇪🇸 🇩🇪 🇨🇦 🇵🇹 . Our journey includes going through YC W18 batch, raising $15M+ in funding from top-tier investors like Spark Capital and Index Ventures, and serving tens of thousands of teams monthly.

Christophe Pasquier

OpenAI's top 30 customers list got leaked?
And by the way things look like
SaaS competition is going to be BRUTAL 

Look at who's consuming the most tokens: Notion, Salesforce, HubSpot, Zendesk, Shopify, JetBrains. These aren't simple products. Far from it. They're the most complex, feature-rich platforms in their categories. They've spent years adding features, building depth, creating power. And in doing so, they created a massive problem: 

Their products became too complex for most users to navigate.
AI is their answer to that problem.

Eg: Salesforce has thousands of features across dozens of modules. Most users touch maybe 5% of what they're paying for. But with AI, you can just ask "show me all deals likely to close this quarter" instead of building a custom report.
Same with Notion. Same with HubSpot. AI becomes the interface that makes complexity accessible.

At Slite and super.work, we've got our hats in the ring too. Knowledge management tools have historically struggled because finding the right information means navigating structured and unstructured data from ALL your apps. We made Slite into the best Knowledge Base but Super will actually solve the information asymmetry problem.

If you're building software today, you're automatically in the AI business now. It doesn't matter if you're in productivity, dev tools, legal, healthcare, e-commerce. AI isn't a feature category anymore. It's infrastructure.

The companies on this list figured that out.

CEO at slite (W18) & super.work | Deep AI search & agents connected to all your work apps

Every knowledge base sells you on centralizing everything.
Then you realize your docs can't answer half your team's actual questions.
We spent 8 years building Slite before accepting this.

Let's say your documentation is perfect with every tag, folder, and doc.
But then someone asks "why did this customer churn?" and you're suddenly opening Intercom, Slack, and HubSpot because the answer lives across all three.
Good questions will always need good context. That's why we built Super.

Slite gives you verified, official documentation. Super finds everything else.
For a year, we sold them separately. Watched teams buy both because they needed both.

So here's the Knowledge Suite.
Slite at $10/user/month. Super at $15/user/month.
Together: $20/user/month.

You're getting both for less than competitors charge for one mediocre product.

Companies are choosing the suite it because fighting reality is exhausting. Your knowledge will always live in multiple places. The suite lets you stop pretending otherwise.

Document what should be official in Slite. Search everything that exists with Super.

If you're tired of choosing between perfect docs and complete context, book a demo. 👉 https://lnkd.in/eSwiyTjp

The lost prospect that pissed me off the most?
A French fintech company we'd been courting for months.
Perfect fit on paper, great logo to have, their team was excited about everything we built. Then at the last minute they chose our biggest competitor.

All because our competitor was selling Kanban boards + databases + project management + wikis.

I realized that the leads we were getting wanted an all-in-one solution and couldn't tell the difference between a standard all-in-one and Slite. But Slite had always been opinionated about just being a great knowledge base, but somehow our leads had hesitations because they wanted more.

The answer wasn't to ship more features and catch up to our competitors. That would lose our opinionated feature set of being decluttered and beautiful. We needed to communicate more clearly about who we were.

We chose our lane and repositioned fast. Instead of competing on breadth, we doubled down on being the best knowledge management tool that actually works. We focused on speed, search quality, and AI-powered assistance.

The pivot accelerated our growth. Once we clearly stated that we were for teams who cared about having the best documentation app, the magic happened.

Prospects started choosing us because we solved their specific problem better than anyone else. We still kept getting prospects that wanted an all-in-one, but the new positioning and messaging let them self-disqualify and saved the pressure on our sales team of trying to sell to customers that never wanted something like Slite in the first place.

That lost deal helped us do that. Sometimes you'll lose a deal so right that it'll shake you to re-think everything you thought you knew. And that's when magic in positioning and product thinking happens.

But damn, that rejection stung at the time.

Leaving this ✨ crew after 1 week of outstanding work and now ➡︎ on my way to San Francisco!

Last week we were preparing the future of Slite and super.work, this week I plan to show it to as many potential buyers and founders to see if our next iteration resonates!

If you are in town and 
- need Super for your team
- want to boost your team speed with instant business answers
- need a more accurate and cheaper alternative to your Guru, Glean Notion AI, etc
- work on RAG and AI productivity

Hit me up! 

And for all the rest stay tuned, we have the 2nd version of Super almost ready for show time, it truly will be the best company search in the world (we measure it).

The SF 996 work culture gets criticized a lot, but honestly? It's the default for most founders I know.

It also applied to most startup employees before ~2018, before the massive COVID funding wave.

In 2012, most of my friends out of college joining startups had way lower salaries than others, they were genuinely excited about innovation and building things that hadn't existed before, they wanted to be here for the ride.

My cofounder Pierre still tells me stories of running migrations at nights, working and sleeping in his first company office. And I don't think he'd have traded this for anything in the world.

If you ask anyone who went through this in their 20s in the last decade, I believe the story would have been the same. The long hours weren't glorified or bashed, they just were, but I believe for the right reasons.

It felt sustainable because everyone was doing it for the right reasons (and most people were too young to have families 😅).

996 is a taboo issue now because the "tech world " norm went from startup to scale-up, from bootstrapping to being funded day 1, from joining and be part of a mission to optimising your career by joining the right rocketship. Something shifted, and we began to criticise 996 because we were suddenly judging startups as mature companies.

But, making a startup work is a game against all odds. It requires a crazy amount of attention and care. It's not for everyone, and not everyone should join a startup.

But if you're a startup founder, looking to create generational products, at least for a given point in time, 996 is necessary. And if people join and enjoy this rhythm for a few years, and get rewarded for it, so be it.

It should not be the norm of work, but startups are not the norm, they're the outliers.

People don't understand Claude skills but I couldn't be more pumped
10y ago, I wouldn't have thought I'd be hyped about folders with MD files 😅
But hear me out, Claude Skills are great.

We've been trying to figure out how to package AI expertise for the last few years.

Custom GPTs were too rigid and quite limited.
MCPs are just tools, and need to be wrapped to deliver value.
Claude Projects were quite basic, just a preset of files and simple RAG to prompt on.

Skills might crack it because they're stupidly simple.

So what's a Skill: folder with context + optional code ready to be run. Claude reads a 2-line description. When you need it, Claude loads the full thing to get the extra context + get your custom code tools ready.
That's it.

Here's why that matters.

Your designer spent weeks getting your brand guidelines perfect. Fonts, colors, spacing, logo placement. Now every deck needs to follow them.

Old way: Copy-paste the guidelines into every prompt. Hope people remember. Get inconsistent results.

Skills way: Package it once. Everyone on your team asks for a deck, Claude applies it. No copy-paste. No drift.

You need a chart in there? add some python code to do it. Or generate end embed images, just running a script to the midjourney api.
Need custom team data to feed this deck? use Super MCP in the loop.

Same for code review standards. Support ticket responses. Meeting notes that become action items. Contract redlining rules.
Build it once. Share it. It works the same for everyone.

Skills validate something: simple modules that load when needed, executable when required, shareable across teams.

Anthropic is testing abstractions. This might not be the final form. But it definitely feels like a natural way for how LLMs work. And we'll definitely take inspiration from them if not use them as a basic format standard in our products.

Only 10-15 books on startups have achieved cult status. Every founder has either read it or has it on their shelves. 
But 2 of them set off my internal red flags every time I see them.

They are

1. OKRs - John Doerr's Measure what matters
All companies will implement OKRs at least once in their life.

Maybe it's the new VP at the big org who does it to give the illusion of impact.
But soon the idea spreads and suddenly, you see anxious first-time founders will opt for it as a solution. And it makes perfect sense to them on paper - OKRs signal you're a serious company with clear structures.

But no one tells how to do it, your startup evolves every 3 months, your team is dynamic, and half your tracking for Key Results is a farce.

On the other hand, a large company doesn't have that kind of internal volatility. They're probably an established market player, with a 4+ level hierarchy system where the groundwork becomes opaque to the ones at the top floor. Moreover, they don't have a sense of culture to propel them forward. So OKRs come in, ensure every department knows their lane and HOW they'll impact the bottomline.

You, as a startup, need a strong culture, flat hierarchies, and constant iteration on what you're shipping and how you're selling it.

2. Marty Cagan's Product books
Every PM has read Inspired. It's gospel in product circles.

The ideas make sense when you're at a company with real scale. You've got product-market fit, dedicated teams, engineering resources that aren't stretched thin.

Discovery becomes valuable because building the wrong thing is expensive.
You can afford to say no to features. 
But early-stage founders read the same books and think they need to "professionalize" their product process.

The founder-PM creates a discovery backlog while also doing customer support and trying to close deals. You start separating discovery from delivery when the whole point of being small is that you can do both simultaneously, faster than anyone else.

Cagan's frameworks prerequisite a stability you don't have. They're tools for optimization, not for finding your way in the dark.

And I get it. As a new company, you're always wondering what you're doing wrong. Reading books help you quiet that nagging fear. But as a startup, there's really only 3 things to take care of:
1. Culture
2. Shipping speed
3. Finding PMF

So read wisely, selectively, and don't worry so much - you'll do just fine.

This customer is beating us at our own playbook 🔥🔥

Uscreen is a 100 person team, spanned across 73 countries, fully profitable.

And they've already nailed an issue most companies suck at: Context. 

Their knowledge is perfectly retrievable. Be it an employee or an agent, they can just ask a question about anything related to the company, and get the context to unblock their work.

Sure, it saves the Slack pings of hunting for files, but more importantly, that's the foundation that makes AI tools actually work when you deploy them.

In 9 days, Jaimie (their Chief of Staff) is joining me live to walk through how they built this.
How a distributed team across 73 countries keeps their knowledge accessible.

You'll see how they
- structured their documentation so it's actually findable.
- built the culture where writing things down is just how the team works
- built a team that never blocks each other with information assymetry

This is peer-to-peer learning. No pitch deck. Just a 45-minute conversation with someone who solved this problem.

When: October 29, 2025
Time: 5 PM CET / 10 AM EST

Register here: https://lnkd.in/emBXRsf8

So pumped to have you on this one Jaimie!

Your sourcing agent is hunting for a product marketer. It finds two candidates:

Profile A: 5 years at Google, launched 3 major campaigns, MBA from Wharton, expertise in growth marketing and analytics.
Profile B: 3 years across 2 startups, built marketing from scratch at a 10-person company, no formal degree, specializes in scrappy growth tactics.

The AI agent sees both profiles and thinks: "Perfect matches!"

A human recruiter immediately picks Profile B. Not because of the resume, but because of context. The human recruiter has been in your Slack chats, seen the long threads about moving fast and avoiding corporate processes. They've watched candidates from big tech companies struggle with your lack of structure. They know that your last Google hire quit after three months because they couldn't handle the chaos.

This accumulated wisdom can't be captured in a prompt. You can't distill years of hiring mistakes, cultural observations, and team dynamics into four sentences and expect AI to make the same nuanced decisions.

Yet that's exactly what we keep trying to do. We feed AI generic job descriptions and wonder why it returns generic candidates. We give it surface-level requirements and expect deep insights about cultural fit.

The problem isn't the AI. The problem is context.

AI that truly understands your company needs access to everything your human recruiter knows. The Slack conversations about what went wrong with the last hire. The performance reviews that revealed why certain personalities clash with your team. The CEO's offhand comments about the kind of person who thrives in your environment.

That's what super.work does. It doesn't just read your job description. It understands your company's hiring DNA from every rejection email, every successful onboarding, every cultural misstep. It crafts prompts you wouldn't think of because it knows context you've forgotten.

You need better context delivered fast, otherwise you'll never capitalize on AI's potential.

Without it, you'll just create more noise.

4 months into selling our first AI product and first learning: you need someone in Slack DMs with your biggest prospects.

Palantir Technologies deployed Forward Deployed Engineers 10 years ago to be close to the customer and iterate to a perfect deployment with the customer.

Right now, all AI companies need the same motion to close their biggest customers.

We've closed half a million in revenue since launching Super, and still, the main thing that helped us win all the pilots (beyond core quality ofc) was...
🥁🥁🥁🥁
... our white gloved, 3-month pilot phases.

Any time a Super prospect comes in
→ We offer them a trial
→ They get a Slack channel with us
→ They run into a wall? They text us and we jump immediately
→ They spot a bug? We resolve within 24 hours
→ They get a crazy idea request? We try to ship a proof of concept the same week if it was part of our plans.

The same trend is happening in enterprise deals too. FDE roles are skyrocketing, with GTM over-promising and product under-delivering, you need to do some plumbing to truly embed AI in their team.

Onboarding needs to stay close-knit until the AI category matures to the point where customers know exactly what to expect and product can deliver that with 100% reliability.

Until then, it only makes sense for B2B sales to adapt, even for mid-market
- A real Solution eng + AE to close
- A Product specialist come work hand in hand post sales for internal deployment

In this weird early phase of AI product, this supplements an enormous amount trust to your customers that they're heard, that their concerns are valid, and that you'll help them implement the tool and scale with their team.

Once you prove that you're trustworthy, you automatically get a leg up from your competitors in the trust race. Even if they offer 1 more integration or a better UX for now, your customers will KNOW that you're there, hearing them, working with them to make your product into something they can safely roll out to their team.

All enterprise search tools look the same 🫠
We all promise enterprise search, custom assistants, and transforming how work gets done.

While we're the best in class in terms of answer accuracy, we too sound the same. 

Any advice would be VERY appreciated 😫

Iwo Szapar

Hybrid Work Expert

AI Maturity Index

In a world where 77% of leaders won't consider candidates without AI skills, understanding your AI maturity isn't just nice to have — it's career-critical.

Introducing an AI adoption GPS - showing where you are, where others are heading, and your fastest path forward.

That’s exactly what we’ve built: a 15-min diagnostic tool powered by real-world data from thousands of professionals.

It's simple 
1. Chat with our AI assistant for 15 minutes about yourself and your AI usage 
2. Get an instant 5-page report with scores, benchmarks, and personalized coaching 
3. Run group reports for your whole team or company

Co-Creator

Ministry of Communications and Information Technology of Saudi Arabia

Co-hosting a program for 22 Saudi AI startups in building production-ready AI agents from concept to deployment. 

Key Focus Areas:
- AI agent architecture and orchestration strategies
- Business model innovation for AI-native companies
- Go-to-market positioning in the MENA region
- Technical troubleshooting and implementation guidance
- Strategic planning for scalable AI solutions

Working alongside the Kingdom's Centre of Digital Entrepreneurship and Saudi AI Leadership Forum to accelerate the next generation of AI companies leveraging Saudi Arabia's unique regulatory clarity and infrastructure advantages.

Program Highlights:
- Weekly workshops on agent development and business strategy
- 1:1 coaching sessions with individual startup founders
- Office hours for real-time technical support and troubleshooting
- Demo day presentations to industry leaders and potential investors

Supporting entrepreneurs who understand that sustainable AI competitive advantages come from workflow integration, cultural intelligence, and solving real customer problems - not just having the latest models.

AI Advisor

Supporting the „Tech Founders” program

Startup Mentor

South Summit

Working with South Summit's global team to connect startup founders with investors and corporate partners across Asia, Europe, and Latin America. Part of a hands-on community that's built 100+ successful exits and facilitated over $17B in startup funding.

AI Ambassador

Saudi AI Leadership Forum

Together with 350+ AI Enthusiasts 🇸🇦, we are dedicated to exploring the vast potential of AI as Saudi Arabia embraces Vision 2030, fostering a community where ideas flourish and connections are made. 

Our mission is to empower each member through insightful discussions, expert-led workshops, and collaborative projects. Whether you're a seasoned AI developer, a business leader seeking to harness AI's power, or simply AI-curious, we offer a platform to learn, share, and grow.

Chief AI Officer & Founder

Remote-First.Institute

Fixing change management with AI. 

- User Expansion: From 319 users in Q3 2023 to 2,003 users (8% paying) in Q2 2024
- Revenue Growth: From $148 in Q3 2023 to $10,635 in Q2 2024
- AI-Assistant Deployment: From 1 AI-Assistant in Q3 2023 to 201 in Q2 2024

🚀 The Journey Begins

In spring 2023 we were looking for ways to productize the "Remote Work Audit" that we've been successfully selling for many years at Remote-how. We decided to experiment with how AI can help. 

During two hackathons with Google and OpenAI, we created a simple prototype and brought it to users. They loved it, so we continued building which led to the creation of AI-Mentor, and eventually getting into an AI Accelerator Program in Saudi Arabia. 

Today AI-Mentor is a change management platform designed for consultants. It offers AI-enhanced interview toolkits, multi-stage AI-Assistants, and workplace analytics. These tools streamline consultancy operations and improve client engagement.

🧠 Projects I lead within AI-Mentor:

1. AI-Powered Remote Work Audit  

- Insight: Productized the "Remote Work Audit" using AI-Assistants.
- Impact: Evaluates remote work capabilities across 120 essential areas during an async conversation with employees, providing deep insights and actionable recommendations to enhance productivity.

2. 30-Day AI Productivity Experiment

- Objective: Conducted a 30-day experiment where 300 ambassadors were given access to an AI Productivity Partner.
- Result: The AI Productivity Partner helped participants stay as productive as possible by managing their calendars, planning tasks, scheduling deep work sessions, providing daily coaching, and offering productivity scores.

3. AI Hackathons

- Initiative: Hosted multiple hackathons (virtual & in-person), engaging over 400 participants.
- Outcome: Empowered participants to build custom, no-code AI tools, significantly enhancing productivity and addressing workflow challenges.

Maker @ AI-Mentor

We are a not-for-profit organization on a mission to create a space with open-source and expertise knowledge about the remote-first work approach provided by the world’s leading future of work experts.

We launched the Remote-First Institute to:
- Counteract the global "back to the office" movement.
- Create Global Standards for companies on remote-first processes.
- Produce high-quality events, articles, reports, and analyses.
- Cultivate a global community for remote-first experts.

Head of AI Projects & Co-founder

▪️Advised 3,000+ companies, incl. Walmart, Microsoft, ING Bank, and Deloitte on how to work smarter.
▪️Spoke at 200+ events, incl. Global AI Summit, South Summit, The Next Web, Running Remote.
▪️Featured by BBC, Forbes, Prezi, Remote, HR Exchange Network, and more.
▪️Built a global community of 31,000+ people who believe work can be done from anywhere.
▪️Wrote a book "Remote Work Is The Way", alongside experts from Netflix, GitLab, and Mural.

Strategic Advisor | Community Builder | Speaker | Writer

Remote-how

Remote-how is the leading platform for remote work education and consulting, helping over 3,000 companies optimize their remote work strategies. We have built a robust community of 25,000+ remote work professionals and collaborated with 250+ experts from renowned companies such as Netflix, GitLab, Microsoft, Mural, and Hubspot. 

Our partners include industry leaders like Asana, Remote, Deel, Prezi, and Safetywing.

💡 Key Projects:

1. Remote-how Marketplace

- Overview: A consulting and virtual training marketplace connecting companies with top remote and hybrid work experts. The marketplace facilitates the hiring of experts for audits, consulting, workshops, and content creation.
- Impact: Provided companies with access to specialized remote work expertise, improving their operational efficiency and remote work practices.

2. Remote-how Academy:

- Overview: The first global, online education and certification program covering essential remote work skills and tools. The academy offers tailored programs for remote workers, HR professionals, and managers.
- Programs:
* Certified Remote Manager
* Certified in Remote Human Resources
* Certified Remote Individual
- Impact: Educated and certified hundreds of professionals, enhancing their ability to effectively manage and thrive in remote work environments.

3. Remote Future Summit:

- Overview: Until 2020, it was the world's largest virtual conference focused on remote work, gathering industry leaders, experts, and practitioners to share insights, strategies, and innovations in the remote work field.
- Impact: Hosted thousands of participants globally, providing invaluable networking opportunities and access to cutting-edge knowledge on remote work trends and best practices.

CEO & Co-founder

Microsoft

I hosted a series of open webinars and invite-only workshops about hybrid work best practices for the Microsoft community and clients.

Remote Work Advisor

I helped build the first in the company's history "Hybrid Work Playbook".

Walmart

I worked with the HR team on Walmart's CEO's remote work strategy proposal.

🚀 Remote-First Activist | Top 50 Remote Influencer | Since 2017, shaping the future of remote-first world

Aloha, I'm Iwo Szapar! I help build future-proof organizations at the intersection of AI and human potential.

🌍 Key Achievements:
- Transformed work approaches at 3,000+ companies including Microsoft, Walmart, and ING Bank
- Co-created the AI Maturity Index with Harvard researchers, democratizing enterprise-grade AI readiness insights
- Established the Saudi AI Leadership Forum and co-founded AI-Mentor to accelerate organizational AI adoption
- Built a global community of 25,000+ professionals championing location-independent work
- Created an expert network of 250+ consultants from companies like GitLab, Netflix, and Hubspot

My work gathered recognition from Forbes and BBC. I authored "Remote Work Is The Way" and have spoken at over 150 events incl. Web Summit, South Summit and The Next Web, while living in 15 different countries.

Born in Gdansk, Poland, I've embraced the 'slowmad' lifestyle that informs my perspective on the future of work. When not researching AI applications, I'm reading history books, surfing, or DJing with my dog Luna nearby.

Connect to explore how AI can help your company work smarter! 🚀

🚀Remote Work Advocate & Co-founder

Remote-how helps companies make remote & hybrid work, work. Since 2017. 

🤓 Remote-how Marketplace - the world’s leading remote & hybrid work experts marketplace. Work on your consulting and advisory projects with 200+ pre-vetted practitioners from top distributed companies. 

🚀 Remote-how Campus - a community where leaders of hybrid teams come to connect, learn and grow together with access to live leadership development programs, mentoring services, and more.

I've been using AI at work for 1,067 days straight. 5 months ago, I canceled  almost all my AI subscriptions and now spend 99% time with this one #vibeworking tool. 

Claude Code is all what you need. ❤️  

This post won't be about convincing that EVERYONE should be using Claude Code (don't let the "code" in the name mislead you: it's a game changer for all knowledge workers). Or maybe it will be? :D 

So... Claude Code is the single best tool on the market now to build and run AI Agents doing things for you like research, writing, brainstorming, coding and more.

My growing team of AI subagents (now 22) are connected to different software I use eg. Hubspot, Gmail, Calendar, Google Analytics, LinkedIn and more. So that they can execute tasks on my behalf.

But wait, it's actually something bigger. 

Imho it's the LARGEST PRACTICAL shift in knowledge work since the "ChatGPT moment". 

Claude Code enables you to build a personalized "Second Brain" with outstanding execution capabilities.  

It tackles the biggest issue with AI - #contextengineering.

Sounds complex? Not at all.

If you oversimplify this: it's a collection of folders and files with instructions and context to empower AI do what you want. 

Claude Code + GitHub (where you store your "brain" files with your work context, structured) have created the largest productivity unlock I've ever had. 

I've shifted my whole work to GitHub for context management (bye bye Google Docs and Notion), and combined it the power of Claude Code. And you should do it to… 

Comment below "CLAUDE" and I will share with you PDF with my ready-to-use setup.

Co-Creator @ AI Maturity Index 🚀 | Entrepreneur, Writer, Speaker 👨‍💻 | 15 countries called home 🌍

My Friday's post got 2,169 comments in 3 days. 🤯 

About Claude Code. The most underrated AI tool for non-technical people.

Here's the irony: only 5% of my work is code.

The name "Claude Code" is killing adoption among knowledge workers. And that's a crime because this is the biggest shift in how we work since ChatGPT dropped.

I've been using AI for 1,067 days straight.

5 months ago I canceled almost all my AI subscriptions.

Now I spend 99% of my time in Claude Code.

Not because I became a developer.

Because I built a second brain that actually executes.

Here's what changed:

The Problem: AI tools have zero context about your work. You explain the same thing 50 times. You copy-paste. You lose hours feeding context.

What I Built: 22 specialized AI agents living in GitHub folders. Each one knows exactly what I do, how I work, and what tools I use.

They're connected to:
- HubSpot (CRM)
- Gmail and Calendar
- LinkedIn
- Google Analytics
- PostgreSQL database
- 8 other systems

What This Means: My agents don't just chat. They execute. Run research. Draft emails. Analyze data. Write content. 

All with full context of my business.

The setup sounds complex. It's not.

It's just folders and markdown files in GitHub. Instructions and context. That's it.

Claude Code reads these files and becomes an expert in your work.

This isn't about AI replacing you.

It's about building a personalized execution layer that knows your business as well as you do.

The "ChatGPT moment" was about conversation.

This moment is about execution.

And if the word "Code" in the name stops you from trying it, you're leaving the biggest productivity unlock of 2025 on the table.

Want to see exactly how I set this up?

Comment "CLAUDE" in the original post - added in comments - and I'll send you the document with everything you need to get things going.

#vibeworking #claudecode #aiagents

"Hey, did you know that GPT-5 can now do 65% of your consulting associate work. Shocked?!"

That's the finding from APEX Research's September 2025 benchmark. Not hypothetical tasks. The actual work filling the first 2-3 years of consulting careers. Tasks like analyzing industries, evaluating markets, building strategic and financial models, preparing presentations.

The benchmark was advised by Dominic Barton (former McKinsey Global Managing Director) and built with experts from McKinsey, BCG, Deloitte, Accenture, and EY.

Here's what makes 65% significant:

It's not 50% (interesting but not actionable).
It's not 80% (replacement territory).
It's the threshold where AI becomes a legitimate productivity multiplier for senior consultants while making the traditional analyst role economically inefficient.

BCG is already reporting they're meeting output targets with the same headcount. PwC has seen clients pull back contracts, replacing "consultants of yesterday" with AI. By 2027, firms that hired hundreds of analysts annually will need far fewer.

The consulting industry built itself on a pyramid. Junior associates did the grunt work, a few became partners. AI just removed the bottom two floors.

The pattern is clear. AI handles structured analytical tasks well. It struggles with ambiguity, client relationships, and strategic judgment that comes from lived experience.

The question isn't "Will AI replace consultants?"

The real questions are:

1. If you're a consulting firm, are you restructuring for the "obelisk model" (fewer layers, smaller teams, AI-augmented seniors), or are you still hiring like it's 2022?

2. If you're a junior consultant, are you building AI fluency and strategic thinking skills, or are you perfecting Excel models that won't exist in 18 months?

3. If you're a client, are you paying for analysis (which AI does at 65% proficiency for $0.02 per task), or are you paying for judgment, relationships, and implementation expertise?

The firms that figure this out first won't just survive. They'll operate at 50% higher efficiency (per BCG's data) while their competitors are still debating whether AI is "ready."

The 65% threshold isn't a future concern. It's September 2025. The restructuring has already started.

What are you doing differently?

I stopped using ChatGPT the way everyone else does.

And it changed everything.

Most people open ChatGPT. Type their question. Get an answer. Close the tab.

Next day, they do it again. From scratch.

The AI has zero memory. You re-explain everything. Every single time.

I realized something: This is not how our brains work.

Your brain builds on yesterday's thinking. It remembers context. It connects dots across weeks and months.

So I built my own system. A repository of files and folders. My entire life, organized in one place.

Work projects. Personal goals. Meeting notes. Ideas. Everything.

And I connected it to Claude Code.

Now the AI remembers. It knows my context. My preferences. My standards.

I don't re-explain. I don't start from zero.

I just continue where I left off.

This is not just about AI. It's about organizing your thinking.

The repository forces clarity. What matters? Where does it go? How does it connect?

AI makes it useful. But the unlock is the structure itself.

Think of it like this:

ChatGPT is renting a hotel room every night.

A Life OS is owning a house where everything has its place.

You know where things are. You build on what you created yesterday. Your system compounds.

I call it my second brain. Others call it a Life OS.

Whatever you call it, it changes how you work. And think. And live.

The best part? You don't need to be technical.

Just folders. Files. Clear organization.

The AI does the rest.

If you're ready to stop starting from scratch every day, this is your unlock.

Have you already started building your second 🧠?

Unpopular opinion: We should celebrate job automation.

Most of the 4,000+ professionals we've benchmarked through AI Maturity Index aren't afraid AI will take their jobs. 

They're discovering AI can give them back their lives.

The numbers tell a story we're not talking about:

#engineers
- Top 10% using AI: 24+ hours per week reclaimed
- Average engineers using AI: 8 hours per week saved
#productmanagers
- Top 10% using AI: 20+ hours per week back
- Average product managers: 9 hours per week freed up

That's not "productivity gains." 

That's dinner with your family. 
That's your kid's soccer game. 
That's an actual vacation where you don't check email.

We spent 150 years building an economy that demanded humans work 40-60 hours a week to survive. 

Then we spent another 50 years pretending that was normal.

It wasn't normal. It was necessary.

AI just made it unnecessary.

Your grandfather worked 80-hour weeks in a factory because he had no choice.
Your parents worked 60-hour weeks at the office because culture demanded it.

You? You have a choice AI just handed you.

The question isn't "Will AI take my job?"

The question is "What will I do with the time AI gives me back?"

Family dinners. 
Hobbies they'd forgotten about. 
Relationships they thought they'd sacrificed for "success."

That's not a job loss. That's getting off the treadmill we never questioned.

We should do everything possible to build a world where humans benefit from AI to the fullest.

Morocco 🇲🇦  - it's good to be back ✌

#remotework #surfing vibes

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Christophe Pasquier

Iwo Szapar

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The Battle

Christophe Pasquier

Iwo Szapar

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Christophe Pasquier's LinkedIn Performance

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