Using AI as a second brain: method, process, and skills

Since 2024, we've been using AI daily at Kreante: in building every application, for all our clients. Today, whether or not the products we develop embed AI, the whole team benefits from our mastery of these tools.

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KreanteJune 28, 20262 weeks ago
Using AI as a second brain: method, process, and skills

Since 2024, we've been using AI daily at Kreante: in building every application, for all our clients. Today, whether or not the products we develop embed AI, the whole team benefits from our mastery of these tools.

But we wanted to go further. Use artificial intelligence not just for development, but also for support functions, for organization, for communication. Turn it into a real second brain.

For a long time we were stuck in "ping-pong" mode with AI: a question, an answer, another question. Useful, but far from full potential. Today, our systems are different. AI can:

  • Open our files
  • Know our projects
  • Read and edit our documents directly
  • Adapt to our priorities and our style

Setting up this structure takes deep thought and a real time investment. But the ROI is real. That's what we're sharing in this article.

Why talk about a "second brain"?

Treating AI as a second brain means giving it a specific role in your organization — not just asking it questions as you go. It means integrating all your knowledge, your projects, your way of working into a system that helps you see more clearly, move faster, and make better decisions.

Do these situations sound familiar?

  • A new idea to jot down, but you don't know where
  • A positioning to work on, but there's no time
  • An internal project that isn't moving forward for lack of structure
  • A communication angle that could really land, but stays stuck in the back of your mind

Ideas get scattered. Energy gets diluted. And meanwhile, competitors keep moving forward.

To transform your relationship with AI, two steps are essential, described below.

1. Gaining clarity in your organization thanks to AI

The impact of AI doesn't come from the tool itself, but from the system you build around it.

Before installing anything, grab a pen and paper. Draw five big blocks:

  • Who you are: your values, your way of working, your strengths
  • Your company and your role: what the company does, what you actually do there
  • Your projects: ongoing, paused, upcoming
  • Your rituals: the recurring patterns of your week, your check-in moments
  • Your emails: the types of messages you send, your usual contacts

For each block, give the AI as much information as possible. To move fast without rewriting everything, use a smart dictation tool: Typeless, Heidi, Whispr Flow… Dictate everything into an audio or text file, then load these notes into a folder accessible to your AI tool.

Once the work above is done, you can put AI to work. If you haven't already, you can install Claude Cowork on your computer: the tool will have direct access to these files and can draw on them throughout your conversations.

Building new daily habits

Once the AI has been fed your "past," you feed it with your daily life.

Every morning: open a note, set your intentions for the day, your to-do list. Every evening: review what moved forward, what got stuck, your current thoughts. Every Friday: a review of the past week and a plan for the next one.

This simple ritual lets your system track your progress, spot recurring bottlenecks, and help you see objectively where you're efficient — and where you might change your organization or delegate.

2. Mapping your processes to gain peace of mind

Mapping your processes is what lets you integrate AI into complete workflows, rather than using it task by task with no connection between them. In our view, this is the best way to get real value from artificial intelligence.

A process covers everything related to:

  • The newsletter
  • Accounting
  • Email management
  • Preparing a meeting
  • Creating a video
  • Onboarding a new client
  • Publishing a social media post
  • Writing a business proposal

Start by listing all your processes for the year. Then sort them by frequency:

Daily → aim to fully automate: an agent, a workflow that runs on its own

Weekly → create an assistant with a well-calibrated prompt

One-off → a prompt template is enough

Then, rank them by priority. Be thorough. This mapping is what will give you a clear picture of where AI can save you time — and how much.


Skills: turning your processes into permanent tools

Once your processes are mapped, AI can really move into action thanks to Skills.

Prompt vs. Skill: what's the difference?

A prompt is an instruction given in the moment you need it. You write it, the AI executes it. It's effective for one-off or rare tasks.

A skill is a prompt that has become a permanent tool. More concretely, here are the differences:

  • It triggers automatically (the AI recognizes the context without needing everything re-explained)
  • It carries stable context: your tone, your brand, your constraints, your preferred formats
  • It's reproducible identically from one conversation to the next, without depending on your memory or the AI's

Claude comes with built-in default skills. And when you want to create a custom one, just tell Claude: "use skill-creator."

The structure of a good skill

Take one of your priority processes and detail it using this structure:

Readable skill name [1 sentence: what the skill does and when to use it]

Input: What the agent receives or needs to ask for: arguments, files, context

Output: What the agent produces

Process:

Step 1: [Short name]

  • Method: how to do it well: criteria, principles, the core of the skill
  • Tools: what the AI uses for this step
  • Pitfall: what to avoid
  • [Precise instructions for the AI]

Step 2: …

Examples:

  • Good examples: [Title]: [Verbatim, exact example] Why it's good: [...]
  • Bad examples: [Title]: [Verbatim example] Why it's bad: [...]

Rules:

  • [Explicit rule 1]
  • [Rule 2]

What you do NOT do:

  • [Anti-pattern 1]
  • [Anti-pattern 2]

Tell Claude "use skill-creator," explain the process you want to structure, and iterate until you're happy with the result.

And there you go! Your first custom skill is in the bag. Experiment and send us your feedback.

We'll dedicate a future article to what actually makes a good skill: how to calibrate it, refine it, and evolve it. Stay tuned.

Conclusion

Using AI as a second brain isn't adopting one more tool. It's rethinking your organization so that artificial intelligence becomes a real work partner — one that knows your projects, tracks your progress, and executes your processes reliably.

The two key steps: clarify your organization, then map your processes. Everything else follows from there.

Want to go further?

There are training programs on this topic, but by definition they aren't built for your specific needs. At Kreante, we prefer a different approach: guiding you only on what you actually need, or setting up the system directly for you.

Get in touch with us: we'd be happy to explore what AI can concretely do for your organization.