From Bika to Buda: Why We Are Changing the Product, Not the Vision

For a long time, Bika was never just a product name to us.

It carried many of our core beliefs about the future of work software, and it also carried a very real chapter of our company story.

We wanted software to do more than record work.
We wanted automation to do more than connect steps.
We wanted AI to do more than chat.

We wanted a system that could actually help run work.

That is why this post is not easy to write.

We want to say something clearly:

Bika is not disappearing, but it is entering limited maintenance. Our main product direction is moving to Buda.

This is not a polished positioning sentence. It is the result of a long internal struggle, many attempts to keep pushing Bika forward, and eventually admitting that the future we want to build needs a different foundation.

First, the vision did not change

If we reduce both Bika and Buda to one line, the vision has actually stayed the same:

An AI Organizer that helps run an entire company.

We were never trying to build just another AI chatbot.

What we wanted was a system that could:

• understand context
• use tools
• execute ongoing work
• collaborate with a team
• and eventually participate in the daily operation of a company

So this shift is not about abandoning the original idea.

The vision is the same. What changed is the technical path and the product shape.

And eventually we had to admit something difficult:

to achieve that same vision, Bika was no longer the best path forward.

What Bika taught us

If Bika did not exist, Buda would not exist.

Bika was not some failed prelude. It was the stage where we pushed several important ideas far enough to finally see both their power and their limits.

1. Bika proved that complex work can be packaged into one powerful system

Bika was ambitious by design.

It did not try to solve one tiny workflow. It tried to bring multiple layers of work into one integrated product:

• spreadsheets and databases
• agents
• docs
• automation
• dashboards
• reusable template packages

Our belief was simple: the hardest business problems are rarely solved by a single isolated tool.

Real work usually spans:

• data structures
• workflows
• documents
• automation
• AI reasoning and generation

So Bika tried to merge them into one template package, so users would not just get features. They would get a full working solution.

We still believe that instinct was right.

And to be direct: Bika is powerful.

If you really go deep into it, it can solve complicated work problems that many traditional SaaS products cannot hold together in one place.

2. But Bika's power also created its own complexity

Once you merge spreadsheets, agents, docs, and automation into one system, and then wrap that into reusable template packages, you gain a lot of capability.

But you also create a very real cost:

the interaction model becomes more complex.

A new user is no longer learning one product. They are trying to understand an entire work system.

That creates real friction:

• onboarding becomes harder
• the mental model becomes heavier
• the product becomes less immediately intuitive
• the philosophy of the product loses some of its original charm

This was the tradeoff we kept feeling inside Bika.

The capability was real.

But the entry point stopped feeling simple.

And once a product starts feeling like "a very complete and very powerful system that needs to be learned," rather than "an exciting and clear new way to work," something important gets diluted.

3. The deeper limitation was in the agent engine itself

There was also a more fundamental issue underneath the product surface.

Bika's agent layer was still largely built around API orchestration.

That works for many useful workflows. It is enough to build a lot of valuable features.

But if you really want an agent to behave more like a long-running employee than a triggered function, you start to hit a wall.

A real agent cannot just be a chain of API calls scheduled from the outside.

It needs its own working environment.

It needs:

• its own independent drive
• persistent context
• its own file system
• isolation
• a long-running sandbox
• a runtime that can actually execute real tasks

That is where Bika had a structural weakness.

It could connect many capabilities, but it was not built from day one around the principle that an agent should own an independent sandbox drive and a persistent place to work.

And over time, we came to believe this was not a nice-to-have.

It was foundational.

Without an independent workspace, an isolated sandbox, and a persistent drive where files, context, and execution traces can accumulate over time, an agent feels less like a real worker and more like a repeatedly invoked capability.

4. We no longer wanted to build an "AI-feature-rich SaaS"

As Bika evolved, it became increasingly clear to us that we did not really want to keep adding AI into an older software shape.

What we wanted was something more radical:

not software with AI features, but software rebuilt around AI workers.

That was the tension we kept wrestling with internally.

Because once you admit that, a lot of the work you could continue doing inside Bika starts drifting away from the future you actually want to build.

That is hard to accept emotionally.

Once you have already spent years building something, you naturally keep asking:

• can we just add one more capability?
• can we improve the onboarding one more time?
• can we finish one more module?
• can we postpone admitting that the path itself has changed?

We asked ourselves those questions for a long time.

Why we decided to pivot

Put simply: continuing to invest most of our energy into Bika was no longer the most honest choice.

Not because Bika had no value.

But because we became increasingly certain that the future we actually wanted to build required a different technical base and a different product center of gravity.

That path became Buda.

If we had to summarize the difference in one line:

• Bika explored how AI, spreadsheets, docs, and automation could be fused into one powerful work system
• Buda is built around an agent-native runtime so an AI Organizer can actually help run a company

This is not just a branding update.

It is a product paradigm shift.

What Buda changes technically

Buda is not a random new story.

It carries forward the deepest beliefs we developed while building Bika, but it narrows the focus and rebuilds from a different technical premise.

If Bika taught us that:

• AI should not just chat
• automation should not just trigger schedules
• systems need memory and context
• work software should execute, not just describe work

then Buda asks the next question:

What kind of runtime, workspace, and product architecture do you need if AI is supposed to function like a real team member?

That is why Buda starts from a different place.

It emphasizes:

• multi-agent collaboration instead of a single assistant
• persistent workspaces instead of disposable sessions
• real execution environments like Browser, Terminal, Drive, and Git
• team-level orchestration instead of personal experimentation
• infrastructure designed for long-running, isolated, manageable agent work

More concretely, Buda is different because:

• agents run inside a cloud sandbox, not just through a thin orchestration layer
• each agent has its own independent Drive
• workspaces are isolated, so agent contexts do not bleed into each other
• agents can operate in real execution environments instead of only returning text
• the system is built around stronger Coding Agents and Agent Skills

This means Buda feels less like "SaaS with AI added in" and more like an operating environment built for AI workers.

It does not merely support agents.

It first creates independent sandboxes, independent drives, and persistent workspaces, and then lets agents actually live and work inside them.

That difference matters.

This was not an easy decision

From the outside, any pivot can sound like one short sentence:

"The company changed direction."

Inside, it is never that simple.

Usually it means:

• admitting that some earlier plans should not continue
• accepting that not every previous investment extends cleanly
• facing the tension between old users, old pages, old narratives, and a new future
• answering the hardest question again: what exactly are we building for now?

For us, the hard part was not coming up with a new name.

The hard part was admitting this:

if we kept treating Bika as the main battlefield, we would not end up where we actually wanted to go.

In startups, the hardest thing is often not making a decision.

It is stopping yourself from continuing the wrong self-justification.

We went through that process.

What this means for Bika users

We do not want to be vague about it.

From this point forward:

• Bika is entering limited maintenance
• we will prioritize basic stability over expanding the product surface
• most new core product investment will go into Buda

This does not mean Bika disappears tomorrow.

It does not mean existing users are suddenly cut off.

But it does mean something important:

if you want to understand where our product direction is going, or where future capability development will happen, you should start looking at Buda.

Why we wanted to say this publicly

We do not want to quietly swap traffic or hide behind vague copy.

If the direction changed, we should explain why.

Users deserve that honesty.

And frankly, we needed to write this for ourselves too.

This is not just a product introduction.

It is a checkpoint.

It is our attempt to:

• summarize the past honestly
• explain today's tradeoffs clearly
• and place a real bet on the future

This post is not about making Bika look worse so Buda can look better.

If anything, the opposite is true.

Bika mattered enough that we felt we owed it a real explanation.

If this resonates, come look at Buda

If you followed Bika all the way here, thank you.

Your feedback, your criticism, and the ways you actually used the product all shaped what Buda became.

And if you care about these questions:

• can AI actually do work for a team?
• can agents become more than demos?
• can future software evolve from tool collections into systems of AI workers?

then we genuinely invite you to take a look at Buda.

Visit Buda

We are not going to pretend the path is perfectly clear.

We do not have every answer.

But we do understand the problem much more clearly now.

Bika got us here.

And the future we want to build now lives in Buda.

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