Whitepaper

Let's be honest. Using digital tools often feels like wading through treacle. You have a brilliant idea, a killer workflow, a unique style... and then you switch apps, and *poof*. It's gone. You're starting over, explaining yourself again to a machine that has the memory of a goldfish.

Now, sprinkle in AI. Suddenly, things get weirder. AI can write poems, generate code, make art. Amazing, right? But it also feels... unmoored. Untethered. Like a super-smart intern who forgets everything the moment you leave the room and occasionally steals your lunch money (or, you know, trains itself on your life's work without asking).

It's tempting to blame AI for the chaos. But that's like blaming the earthquake for revealing the shoddy foundations of a building. AI didn't *create* these problems; it just cranked up the volume on the cracks that were already there.

We see three main fractures running through the digital world:

• The Great Ownership Heist: Who actually owns the stuff you create online?
• The Case of the Missing Memory: Why do our tools forget everything?
• The Trust Implosion: Why does it feel like every platform has its own agenda?

Let's dig in.

Fracture #1: The Great Ownership Heist

Think about it. You pour hours into crafting the perfect design in a SaaS tool. You train a custom AI model on your unique data. You write brilliant insights on a platform. Who owns the output? Who *really* benefits?

Often, the answer is fuzzy at best, and downright exploitative at worst. We're creating immense value in systems that treat our work like raw material for *their* gain. They get the data, the models, the monetization. We get... well, we get to use their tool. For now.

This isn't some abstract philosophical debate. It's hitting creatives whose styles are mimicked without permission. It's causing companies to slam the brakes on AI adoption because nobody knows who gets sued when the AI uses copyrighted material. It makes you pause before using that cool new tool – is it empowering you, or just... extracting from you?

If we don't fix this, we're heading towards a future where our creativity is strip-mined by algorithms, or AI adoption stalls because no one trusts the plumbing.

Fracture #2: The Case of the Missing Memory

Why doesn't your software *remember* you? You tell your writing assistant your tone preferences, then switch to a design tool and have to start from scratch. You onboard a new team member, and all the institutional knowledge is scattered across a dozen apps, emails, and Slack channels.

Our digital lives are lived in fragments. Each app is an island, oblivious to the mainland. This isn't just annoying; it's incredibly inefficient. We lose context, repeat ourselves, and reinvent the wheel daily.

AI makes this worse. A generative model spits out text that sounds vaguely like you, but misses the nuance you spent months refining. A recommendation engine treats you like an average, ignoring your unique history. Without memory, intelligence – human or artificial – becomes shallow. Contextless. Noise.

Meaningful work, creativity, strategy – these things *require* memory. They build over time. Our tools need to respect that.

Fracture #3: The Trust Implosion

It boils down to this: If you don't own your data, can you trust the platform? If you can't tell if an image is real or fake, can you trust what you see? If the platform's business model relies on selling your attention or data, can you trust its incentives align with yours?

We see AI models trained on data scraped without consent. We see terms of service quietly changing to grab more rights over our creations. We see synthetic media flooding the internet without reliable ways to verify authenticity.

This isn't just a feeling; it has real consequences. Businesses can't rely on systems they can't audit. Creators can't build on platforms that feel like quicksand. We all hesitate to engage fully with systems that seem designed to undermine truth and ownership.

The problem isn't the technology itself. It's the *architecture*. The digital houses we live in were built without proper foundations for ownership, memory, or trust.

If AI is going to be truly useful – if it's going to amplify *us* instead of just creating more noise – we need to rebuild those foundations. That's the core idea behind what we're doing with baikery and doobls.

If the problems of fragmented memory and shaky ownership are so obvious, why are we still stuck with them? It's not for lack of trying. Plenty of smart people have built impressive things. But often, the solutions themselves bake in their own set of limitations.

The SaaS Treadmill: Convenience at a Cost

Software-as-a-Service (SaaS) tools are everywhere. They're often slick, packed with features, and super convenient... at first. But we've all felt the hidden costs, right?

• The Data Hotel California: Getting your data *in* is easy. Getting it *out* in a useful format, or truly *owning* what you created within their walls? Good luck. You check out, but your data never really leaves.
• Workflow Whack-a-Mole: Each SaaS tool solves one problem well, but getting them to play nicely together? It's often a mess of Zapier hacks, manual exports, and lost context. Your memory gets shattered into a dozen different silos.

Sprinkling AI onto these tools makes them better point solutions – a smarter chatbot here, a better image generator there. But it doesn't fix the underlying fragmentation or the ownership issues. It just makes the silos smarter, not more connected.

The Web3 Mirage: Great Ideas, Rough Landing

Then there was the Web3 wave. Remember NFTs and DAOs? The core ideas were powerful: true digital ownership, decentralization, user control. Things we desperately need.

But let's be real, the execution often went off the rails. Many projects got lost in:

• Speculation Over Substance: Hype and token prices often overshadowed building usable products with clear legal rights. Trying to explain gas fees to your grandma wasn't exactly a recipe for mass adoption.
• Governance Growing Pains: How do you actually *run* a decentralized system fairly and effectively? Many projects struggled to figure this out, leading to chaos or stagnation.

The underlying tech (like blockchains) is still promising. But for it to actually work for real people and businesses, it needs to be user-friendly, legally sound, and focused on solving real problems – not just creating new digital collectibles.

AI APIs: Power Without Persistence

And now we have the explosion of AI APIs – tools like GPT-4, Claude, Midjourney. Incredible capabilities, available on demand.

But using them often feels like talking to that brilliant-but-forgetful intern again:

• Amnesia is the Default: Most AI models have no long-term memory of you, your style, your projects, or your previous conversations unless you manually feed it back in – often within tight limits. You're constantly starting over.
• The Integration Nightmare: Want to connect that AI to your actual business workflow – your accounting software, your e-commerce platform, your project management tool? It's possible, but it often requires significant technical effort, custom code, and ongoing maintenance. It's powerful, but isolated.

AI becomes exponentially more valuable when it *remembers* context and operates seamlessly within your existing workflows. It needs a home – a system built for memory and integration.

That's the gap doobls is designed to fill. We're not trying to be just another silo. We're building the connective tissue, the memory layer, the lawful framework where you can orchestrate these powerful tools in a way that actually works for *you* – preserving your context, respecting your ownership, and hopefully, finally fixing these frustrating limitations.

Pointing out problems is easy. Fixing them? That's the hard part. If the old ways are broken – if SaaS traps your data, Web3 got lost in hype, and AI tools have amnesia – what do the *foundations* of a better system actually look like?

It's not about finding one magic bullet. It's about building on a few core ideas that respect how people actually create, collaborate, and build value, especially now that AI is in the mix.

We think these four pillars are non-negotiable:

Pillar #1: You're the Boss (Structural Agency)

Your tools shouldn't dictate how you work; they should adapt to *you*. Think about it: you have your own unique workflows, your own style, your own way of thinking. Software should enhance that, not force you into a generic box.

• Your Logic Rules: You should be able to define your processes and preferences, and the system should learn and respect them.
• AI Adapts to You: AI shouldn't just be a generic tool; it should become *your* personalized assistant, understanding *your* context and needs over time.
• Compounding Knowledge: The system should feel like a collaborator that remembers past decisions and helps you build on them, not a tool you have to re-train every single time.

Without this agency, you're just a cog in someone else's machine. With it, you remain the architect.

Pillar #2: Memory That Matters (Persistent & Private)

We talked about the amnesia problem. The fix isn't just *more* memory; it's *smarter*, *persistent*, and crucially, *private* memory.

• Context is King (and Queen): The system needs to remember the *what, why, and how* across different interactions and projects. No more starting from zero.
• Your Memory, Your Control: This isn't about the platform hoarding your data. It's about *you* controlling your operational memory, with strong privacy and security built-in from the ground up.
• Memory You Can Use: You should be able to easily access, manage, and build upon your stored knowledge.

Think about how *you* work. You learn, you remember, you connect ideas. Your tools should support that cumulative process, not constantly wipe the slate clean. Private, persistent memory is the bedrock of meaningful intelligence and trust.

Pillar #3: Real Ownership (Lawful & Enforceable)

"Ownership" can feel like a buzzword. We mean it in the old-fashioned, boring, legally-binding sense. Not just a toggle in the settings, but real rights you can actually enforce.

• Your Stuff is Yours: Your data, your workflows, your outputs – you own them, protected by clear agreements and actual legal structures (like, you know, being a proper German GmbH that has to follow rules like GDPR).
• Grounded in Reality: This ownership isn't tied to some volatile token whose value swings wildly. It's linked to the real-world legal entity and established regulations.
• Equity Means Equity: If you have a stake, it should be real, enforceable equity, not just a speculative digital IOU.

This isn't just about feeling good; it's the only way to build lasting trust and sustainable collaboration, especially when AI and complex workflows are involved.

Pillar #4: Fluid Ways to Play (Composable Participation)

People aren't just one thing. You might start as someone using the system (a client), then contribute a cool new agent or workflow (a contributor), and maybe even invest in the whole thing (a shareholder).

A modern system should embrace this fluidity:

• No Rigid Boxes: Move between roles naturally as your engagement evolves.
• Contribution Builds Ownership: Adding value to the system – whether by building, using, or investing – should have pathways to deepen your stake.
• Aligned Incentives: When participation is flexible and cumulative, everyone's incentives start to align more naturally towards making the whole system better.

Silos create friction. Fluidity and composability build stronger, more resilient communities where everyone benefits from growth.

These are the foundations we believe are essential. They're what guide our work on baikery and doobls – trying to build something practical, lawful, memory-driven, and ultimately, empowering for the people who use it.

Okay, so we've talked about the problems and the principles. But how are we actually turning these ideas into reality? We're not starting from scratch in a vacuum. Our approach is grounded in what we already do, combining our existing studio work with the development of the new platform.

Think of it as two engines working together:

• baikery: Our day job – the established, running, paying-the-bills digital, creative, venture studio.
• doobls: The next evolution – the integrated platform we're building, initially to make *our own* lives easier.

They feed each other. The real-world headaches we face at baikery tell us exactly what doobls needs to solve. And as doobls gets better, it makes baikery run smoother.

First, the Foundation: baikery

Before doobls, there's baikery. We're a registered German GmbH – a lean, tech-savvy creative studio. Our core team works with a network of talented freelancers (creators, developers, strategists) doing things like:

• Helping clients implement AI, design cool stuff, and figure out strategy.
• Kicking off joint projects with other creators.
• Managing money properly using regulated tools (because, Germany).
• Using clear contracts so everyone knows where they stand.

Running baikery day-to-day gives us a front-row seat to the real challenges of modern creative and operational work. We're not guessing what features are needed; we're living the problems doobls aims to fix.

Then, the Engine: doobls

So, what *is* doobls, exactly? It's the integrated software platform we realized we desperately needed to run baikery better. Forget fancy marketing speak – we're literally building the system we wish existed to manage our own complex projects, client work, collaborations, and all the annoying admin stuff in between.

Our Building Philosophy: Don't Reinvent Wheels.Instead of trying to build every single backend piece ourselves (and probably doing a mediocre job), we're focusing on smart integration. We find the best, most reliable, legally compliant hosted open-source tools out there for things like memory systems or databases (thanks to awesome partners!). We connect to them via APIs.

Our Secret Sauce: The Orchestration Layer. Where do we focus *our* coding firepower? On the unique doobls layer that sits on top. This includes:

• The flexible agent framework (the brains for those smart helpers).
• The workflow logic that ties everything together.
• The unified interface where you manage it all.
• The security model keeping things safe.
• The billing system that makes sense (eventually!).

The Goal? To kill the fragmentation. To give AI a memory. To seamlessly connect the AI magic with the essential, boring (but crucial) stuff like managing finances, signing documents, scheduling meetings, handling social media, running e-commerce – all those real-world business operations.

And remember that open-source commitment? We're serious. The plan is to open-source the core agent and workflow framework itself. We build on open source, we give back to open source. It's a virtuous cycle.

Basically, we're using the stability and real-world grounding of baikery, plus the power of the open-source community, to build doobls in a practical, step-by-step way.

If we're building a system based on agency, memory, and real ownership, it wouldn't make sense to force everyone into rigid little boxes, right? People change, projects evolve, and the way you engage with a system should be able to evolve too.

That's why we think about participation in baikery and doobls as fluid and cumulative. You're not just locked into one category forever. There are three main ways to get involved, and they can overlap:

• Use It: Be a Client, deploying doobls to make your own work better.
• Build It: Be a Contributor, extending the platform or creating things on top of it.
• Own It: Be a Shareholder, holding a real stake in the underlying company.

Think of these less like job titles and more like hats you can wear – sometimes one at a time, sometimes more than one.

Hat #1: The User (Clients)

This is the most straightforward way in. You use doobls (or services from baikery powered by doobls) to get your own stuff done. Maybe you're an individual creator, a small studio, a growing startup, or even a team within a big company.

As a Client, you can:

• Set up your own private agents to handle tasks like content creation, data analysis, or managing operations – all drawing on your private memory.
• Decide how you want things hosted (run it yourself, use a hybrid model, or have it managed).
• Sleep well knowing you *own* your data, your memory, and whatever your agents create.
• Even build custom extensions if you need something specific.

How do you pay? We're aiming for transparency. Instead of complex licenses, the idea is to pay based on usage – we call them Agent Compute Units (ACUs). Basically, you pay for what you use, we take a margin on top, making it fair, scalable and predictable. Once we are open source, you can even run it yourself and save the margin. Though hopefully you'll see the value in working with us.

Hat #2: The Builder (Contributors)

Maybe you're not just using the system; you see ways to make it better or build cool things *on* it. That's where Contributors come in. You might be developing a new type of agent, creating a useful module, building an integration, or even offering support to other users.

As a Contributor, you could:

• Build and maybe even sell specialized agents or modules through a future doobls marketplace.
• Help extend the core platform's capabilities.
• Offer your expertise as a service to other Clients.

How do Contributors get rewarded? Through project contracts, sharing in revenue from things sold in the marketplace, or potentially even earning tokenized equity (following all the proper German GmbH rules, of course).

Crucially, if you build an agent or module, the ownership stays clear. If something you build gets adopted into the main platform, there will be separate agreements to make sure you're compensated fairly. The goal: build value, keep value.

Hat #3: The Owner (Shareholders)

This is about having real skin in the game. Shareholders hold actual, legally recognized (and potentially tokenized) equity in the baikery GmbH itself.

As a Shareholder, you:

• Can receive dividends based on the company's actual revenue.
• Have a voice in major strategic directions through transparent updates and communication.
• Might propose or fund new projects as the ecosystem grows.

This isn't about speculative tokens; it's about tying ownership directly to the operational success of the whole venture, ensuring builders, users, and early supporters all benefit from growth.

Wearing Multiple Hats: The Magic of Composability

Here's where it gets interesting. These roles aren't mutually exclusive. You can transition between them or wear multiple hats at once:

• A Client using doobls might build a custom agent for their needs and decide to share it, becoming a Contributor.
• A Contributor who builds successful modules might decide to invest, becoming a Shareholder.
• A Shareholder might use doobls for their own separate venture, becoming a Client.

It's designed to be fluid. No hard walls, just natural pathways for deeper involvement. As you engage more, your commitment, ownership, and the value you get (and create) can grow over time. And if you ever want to leave, you can. We'll help you get your data out and there will even be the code available to take with you. Once the legal framework is in place, you can even liquidate your stake at any time (expected in 2025).

We believe systems that allow this natural, cumulative participation are the ones that will last. They get stronger as more people build, use, and own parts of them. That's the kind of growing, adaptive system we're aiming for with baikery and doobls.

Building cool tech and fancy marketing slogans is one thing. Keeping the lights on and actually growing it into something sustainable? That's a whole different ball game. We're not interested in a flash-in-the-pan. We're building for the long haul, and that means having a sensible, compliant economic plan.

Our approach is pretty straightforward: **use real revenue from our studio (baikery) to fund our core operations**, and then use any strategic investment (like the seed round we're currently raising) to pour fuel on the fire and accelerate the development and reach of the doobls platform.

Keeping the Lights On: How baikery Pays the Bills Today

Right now, our day-to-day operations are funded by the work we do at baikery studio. This means client projects and partnerships cover our running costs (yes, including paying ourselves and our core team!). This mostly comes from:

• Helping Businesses with AI & Design: Companies and agencies hire us for AI consulting, design work, automating their workflows, and developing custom agents. We usually structure these as a mix of upfront project fees (CapEx) and ongoing support (OpEx).
• Partnering with Creators: We also team up with other creators and studios on joint ventures. If the project does well, we share in the success.

This service revenue keeps us stable, profitable and, importantly, keeps us deeply connected to the real-world problems that doobls is being designed to solve.

Fueling Growth: Where Investment & Future Platform Revenue Fit In

So, if studio work covers operations, what's investment for? It's for hitting the accelerator. External funding (like our current seed round) is specifically for speeding up growth beyond what we can fund organically. This means:

• Building doobls Faster: More resources for the engineering team to build out the core doobls infrastructure – the Memory, the Agents, the UI, the secure billing system.
• Getting doobls to More People: Funding for marketing, business development, and helping the first wave of doobls platform clients get up and running smoothly.
• Ensuring Rock-Solid Legal Foundations: Allocating resources to navigate the complex legal landscape, ensuring compliance for things like data protection, IP, and any future tokenized elements.
• Future Money-Makers for doobls: As the platform matures, we expect revenue to come from:
  • Platform access subscriptions (the basic entry ticket).
  • Usage-based fees (those ACUs we talked about).
  • Maybe some fees from a future marketplace if that takes off.

Moving Money: Simple, Legal, and Not Sketchy

How will money actually flow? We're aiming for clarity, legal soundness, and making it easy to work with us, whether you're in Berlin or Brisbane:

• Euros, Please: Client payments, collaborator payouts – it's all handled through regulated payment systems. This means no messing with volatile crypto for core operations, immediate liquidity, and it keeps the regulators happy.
• Smarter Billing Ahead: As doobls grows, we'll roll out proper usage tracking and secure billing, all linked to secure ways to log in and manage your account.
• Old School Invoices Still Work: For our baikery studio services, standard B2B invoicing is still an option, of course.

Why this way? Because it ensures:

• We're ready for GDPR and MiCA (Europe's new crypto rules) from day one.
• It's easy to work with partners globally.
• Operational stability – no crypto rollercoaster for payroll!
• Basically, we handle the financial complexity so you don't have to.

Who Owns What & How Profits Flow (The GmbH Way)

This isn't some shadowy DAO. Ownership and any profit sharing are grounded in boring, predictable German corporate law:

• If there are profits, dividends are tied to actual company performance.
• Your say in things flows from your actual shareholding structure.

This means:

• Everyone involved – builders, users, investors – are structurally aligned. No smoke and mirrors.
• Value creation rewards real work and real support, not just hype.
• We stay legally sound as we grow.

So, the plan is: make money from real work today with baikery, while using that and smart investment to build the long-term economic engine for a scalable, lawful, and memory-driven doobls platform tomorrow.

Let's face it, the tech world is littered with ambitious projects that fizzled out. So, what makes us think baikery and doobls can actually stick around and make a difference? It's not about hype or chasing the latest trend. We believe our strength comes from a few core, perhaps even boring, structural advantages that actually matter in the long run.

Advantage #1: We Play by the Rules (Lawful Scalability)

Remember all those Web3 projects that imploded because they treated laws like optional suggestions? Or how many AI platforms are now sweating because they ignored ownership until it became a five-alarm fire? We're deliberately taking the opposite approach.

• Built on Solid Ground: We operate as a registered German GmbH. This isn't just a mailbox; it means we're accountable and adhere to established business and data protection laws (hello, GDPR!).
• Ready for What's Next: We're building with an eye on upcoming regulations like MiCA for any tokenized elements, ensuring our financial operations are sound.

This "boring" legal stuff is actually a superpower. It means serious businesses and enterprises can trust us. It means we can collaborate across borders without things getting legally sketchy. And as rules around AI and digital assets get clearer (and stricter), systems built lawfully from day one won't just survive – they'll be the ones everyone else ends up relying on.

Advantage #2: Memory is Our Moat (Compounding Intelligence)

In a world where anyone can generate content with AI, what becomes truly valuable? Generic outputs? Nope. What's valuable is *your* unique knowledge, *your* specific style, *your* accumulated experience. And that requires memory.

Unlike stateless platforms where you start fresh every time, doobls is designed to compound intelligence:

• Every interaction can strengthen *your* specific knowledge base within the system.
• Your operational and creative intelligence gets deeper over time.
• Why would you switch when the system already *knows* you and helps you work smarter, not harder?

Persistent, private memory isn't just a feature; it's a fundamental competitive edge. Systems that forget will compete on who can shout loudest. Systems that remember will lead on actual value.

Advantage #3: Your Data, Your Castle (Infrastructure Options)

While we leverage trusted hosted partners for some backend services (especially early on, for speed and efficiency), our philosophy is always centered on user control and avoiding vendor lock-in.

• Options for Sovereignty: We're designing doobls with the future possibility of self-hosted or hybrid deployments for the core framework. You should have choices.
• Data Portability: Your data is yours. You should be able to get it out, and our API-first approach facilitates this.
• Open Components = Less Lock-in: By using open-source components where it makes sense, we offer more transparency and reduce the risk of you being stuck with a fully proprietary black box.

We want you to have options for greater operational control as your needs and the platform evolve.

Advantage #4: Plays Well With Others (Flexibility & Integration)

The last thing anyone needs is another walled garden. Our modular agent architecture is built for connection, not isolation.

This means doobls is designed to:

• Plug into the major AI models you already use or want to try.
• Connect with your existing business systems – your CRM, e-commerce platform, project management tools, etc.
• Adapt to different industries and scales of operation.

Instead of forcing you into yet another new silo, doobls aims to be the intelligent layer that brings memory and agency to how you *already* work.

Advantage #5: Stronger Together

We're not trying to build everything in a cave. Our commitment to open- sourcing the core doobls framework and building on existing open-source foundations is strategic:

• Faster Innovation: We can leverage the collective brainpower of the community.
• More Trust: Openness builds transparency.
• Better Partnerships: It aligns us with infrastructure providers who share an open ethos.
• Attracts Talent: People who believe in open principles will want to join in.

This isn't just feel-good stuff; it makes the whole system more resilient and adaptable.

Advantage #6: Knowing What's Real (Authorship & Authenticity)

As AI makes it easy to generate anything, how do you know what to trust? Verifying who made something and that it's genuine becomes critical.

That's why doobls is focused on building in features for:

• Clear, verifiable ways to prove authorship.
• Techniques to trace where an output came from.
• Maintaining a clear lineage for your creative and operational assets.

In a world overflowing with AI-generated content, being able to prove something is authentically *yours* or from a trusted source will be incredibly valuable. We're aiming to provide the infrastructure for that, not just more ways to generate noise.

No magic tricks, no shortcuts. Just a thoughtful approach to building systems that are lawful, memory-driven, user-controlled, open, and ultimately, designed to endure because they solve real, fundamental problems.

So, how do we actually build all this? We're not fans of "boil the ocean" projects or vague promises of a magical future. Our roadmap is about taking deliberate, practical steps, starting with what we need right now for our own studio, and then carefully expanding from there. It's about integrating great open-source tools, building our unique doobls orchestration layer on top, and growing from our real-world operations.

Phase 1: Be Our Own Best Clients (Current - 2025) – Internal System & Sharpening the Tools

• What We're Doing: Connecting the core open-source building blocks (like memory systems and databases) via APIs. Building the first version of the doobls agent framework, the workflow logic, and the internal interface that *we* will use every day at baikery.
• The Goal: Make our own studio run like a well-oiled machine using this integrated system. Basically, be our own first, most demanding client.
• Under the Hood: Keep baikery studio revenue flowing. Make sure all our partner tools are GDPR compliant and securely hooked up. Get the core doobls framework neat and tidy, ready for when we share it with the world.

Phase 2: Opening the Doors & Growing Together (2025-2026)

• What We're Doing: Start offering the core doobls platform to a select group of early clients. Critically, this phase is about **actively igniting growth by releasing the core doobls agent and workflow framework as open source, which will coincide with our public token launch.** We'll be fostering a community and seeking contributions.
• The Goal: Productize our internal system while simultaneously **leveraging the open-source community to accelerate development, broaden adoption, and enhance the platform** through collaborative innovation. Get billing operational and prove the value with real users and contributors.
• Under the Hood: Intensely gather and integrate feedback from both early clients and open-source collaborators to rapidly iterate and improve.

Phase 3: Growing the Ecosystem (2026 and Beyond) – A Thriving Platform

• What We're Doing: Make sure the doobls platform, built around that open-source core, can scale smoothly and reliably. Keep adding more integrations to other tools and systems. Maybe even explore features like a marketplace for agents and modules.
• The Goal: Achieve sustainable growth for the platform and foster a lively, collaborative ecosystem. We want to enable deeper customization, perhaps even allowing organizations to take the open framework and **fork and adapt the entire operational model** to their specific needs.
• Under the Hood: Continue researching new possibilities (like those interesting decentralization ideas we mentioned), but always making sure anything we do is compliant and genuinely useful.

Our priority is to build something stable, useful, legal, and open, one step at a time. We're not rushing to make headlines; we're focused on building solid foundations that will last. It's about putting one working layer on top of another, carefully and deliberately.

Okay, we've talked a lot about tech, platforms, and features. But let's zoom out for a moment. Technology isn't built in a vacuum. It shapes our world, and our world shapes it. The changes AI is bringing are not just about faster computers or cooler apps. They're shaking up how we work, how we create, and even how we think about value and trust.

What we're doing with baikery and doobls isn't just about building another product. It's our response to some of these deeper shifts. It's our bet on a better way forward. Here are a few of the foundational ideas that guide us:

Idea #1: The Old Ways Are Crumbling (Institutions Need an Update)

Think about the big structures in our lives – companies, universities, even the platforms we use every day. In many ways, they're like shared stories or agreements we all buy into. They work because we believe in them.

But what happens when the world changes dramatically and those old stories don't quite fit anymore? Brittle institutions, the ones that can't adapt, start to crack.

• When knowledge is everywhere online, what's the unique role of a traditional university?
• When you can send money peer-to-peer, how do banks need to evolve?
• When users start demanding *real* ownership instead of just renting access, what happens to platforms built on extracting data?

AI is like an accelerant poured on these cracks. Systems that are closed, that take more than they give, that treat users like cogs – they're going to have a tough time. The ones that are open, that share value, that give users control and memory – those are the ones that are built to last.

We see baikery and doobls as part of this update. Not a violent revolution, but a necessary evolution. Helping to build the new foundations that make sense for this AI-infused world – lawful, flexible, and designed for users to be in charge.

Idea #2: Real Smarts Are Rare (Structured Intelligence is the New Gold)

In a world absolutely drowning in AI-generated content, what becomes truly scarce and valuable?

• Raw execution? AI can do that cheaply.
• Generic, surface-level answers? AI can churn those out endlessly.
• Basic reactive intelligence? That'll be everywhere.

The new scarcity, the new gold, is what we call *structured intelligence*. This isn't just raw data; it's:

• Cumulative Memory: Knowledge that builds over time, specific to *you* and *your* work.
• Preserved Logic: Your unique decision-making patterns, your style, your workflows – remembered and respected.
• Authored Identity: The ability to prove something is genuinely yours, reflecting your distinct operational integrity.

Anyone can generate noise. But systems that help you capture, preserve, and strengthen *your* unique structured intelligence – that's where the real strategic advantage lies. At an individual level, for your team, for your whole organization.

When infinite generation is the norm, your memory and your unique way of doing things become your superpower. baikery and doobls are being built to be the treasure chest for that superpower.

Idea #3: Participation Must Be Real (Lawful, Private, and Yours)

We've seen the hype cycles. Speculative decentralization that promises the moon but delivers confusing tech and legal headaches? Not our game. Blindly trusting massive, centralized platforms with your most valuable data and workflows? We think there's a better way.

The future we're building towards needs to be built on things you can actually count on:

• Lawful Structures: Real, enforceable rights, not just vague promises on a website. (That's why we're a GmbH).
• Private Infrastructure: You control your data and your operational sovereignty. You should have choices about where your stuff lives and who can access it.
• Composable Networks: Flexible ways to participate where your contributions are recognized and value is shared fairly.

baikery and doobls are designed to embed these principles at their core. We don't want you to just trust us; we want the system's structure – the law, the memory, the ownership, the transparent governance – to *enforce* that trust.

When you participate, it should be:

• Meaningful: You're contributing real value, not just feeding the machine.
• Private: Your agency and ownership are respected, by design.
• Lawful: It's all grounded in rights you can actually stand on.
• Cumulative: Your efforts build lasting value for you over time.
• Authentic: The system is transparent, and interactions are genuine because you know how it works and who owns what.

If participation doesn't tick these boxes, is it even worth it? We don't think so.

We're not just chasing the next tech trend. We see these as fundamental shifts – from centralized extraction to user agency, from platform lock-in to memory-based collaboration, from overwhelming noise to durable, authentic intelligence. We're trying to do our part to build the next layer of infrastructure for this new world – carefully, legally, and with a deep respect for the people who will build with it.

We're living through a pretty wild technological moment, aren't we? AI isn't just making things faster; it's holding up a giant mirror to the way we've been doing things, showing us all the creaky, brittle parts of our digital world. The old habits of extracting value without giving back, of forgetting user context, of obscuring ownership – those just don't fly anymore.

Many of the tools and platforms built on last century's assumptions are going to struggle. Some will fade, others might just… break. Because the challenge isn't just about better tech; it's about a better *structure*. The systems that will thrive are the ones designed from the ground up for real ownership, persistent memory, genuine user agency, and lawful, transparent participation.

That's what baikery and doobls are all about. This isn't some academic theory or a slide deck full of buzzwords. It's our working attempt to build that different path. We're creating systems where your work actually compounds in value, where you know who made what, where getting involved can mean building real ownership, and where you have more control over your own digital environment.

The alternative? More of the same stagnation, a deeper slide into distrust, and a digital world that feels increasingly generic and homogenized. We're choosing a different direction:

• Start with a solid, lawful foundation (no cutting corners).
• Make memory and user agency the absolute core principles.
• Build what we need *now*, based on real-world problems, not just speculating about the distant future.
• Be patient, secure, and open in how we build, leveraging proven tech and strong open-source partnerships to create something that genuinely integrates with how you already work.

We're not just "raising money" to chase hype. We're building the core platform we desperately need for ourselves, first and foremost.

The groundwork is already laid:

• The core ideas for the infrastructure are well-developed.
• Our studio, baikery, is up, running, and growing.
• Our legal and financial setups are solid and compliant.
• We're already working with early collaborators.
• Our growth plan is built around sustainable, lawful steps.

And the work doesn't stop. We're focused on:

• Making the memory architecture truly powerful for everyday operational advantage.
• Expanding ways for people to participate through clear, lawful ownership.
• Building out modular agents and workflows based on what users actually need.
• Carefully opening up the system – and our core open-source framework – to creators, clients, contributors, and partners who get what we're trying to do, who believe in the power of memory, agency, and real ownership.

This isn't just a sales pitch. It's our blueprint for a better way to work, for ourselves and hopefully for many others. baikery and doobls aren't finished products set in stone. They're designed to adapt and evolve, because that's the only way to build something that truly lasts.

We're trying to build infrastructure that lets your creativity, your intelligence, and your business operations scale *without* erasing the human element, the individual process, the unique spark. Ultimately, it's about enabling greater freedom and autonomy for everyone who participates.

If this resonates – if you're tired of the old way and see the potential for a more integrated, memory-rich, authentic, and user-controlled approach to building and working – then we should talk. There are ways to get involved.

We're already building. We're going to keep building. And we're looking for a few serious, aligned folks to join us on the journey.

Doing more. Working less. Sharing everything.