Purpose-built AI agents that live in your Slack channels and hold context so your whole team can build on each other's work.
The problem
AI is being used. Teams aren't getting smarter.
Most teams have subscriptions. Most usage is still individual. One person gets value, the rest of the team doesn't see it. Giving everyone their own chatbot makes this worse: more tools, more silos, no shared knowledge.
When work spans days or weeks, the team pays a context tax every time: re-explaining decisions, re-sharing links, rebuilding shared understanding before anything can move. The bottleneck isn't the model. It's the structure around it.
Why Tiny Lab
Not a chat window. A team member.
The hard part isn't the model. It's everything around it.
General-purpose chat tools help individuals think faster. Tiny Lab is built for something different: making AI work that the whole team can build on.
We've deployed agents inside real Slack teams and watched what actually determines whether they stick. Not capability — structure. A bot your team can calibrate to, trust, and act on. That's what we build and operate.
For example
A team orchestrator tracks open decisions across your sprint planning channel, pings owners when things need attention, and posts a daily thread recap. Nothing falls through the cracks between meetings.
How work changes
When the agent holds the context, three things shift.
Context compounds.
Decisions persist. Work picks up where it left off. You stop re-explaining and start building.
Knowledge travels.
What gets figured out in one channel becomes usable in another. Fewer duplicated decisions. Less drift.
Async by default.
Work moves forward even when the team is offline. No "remind me what we decided" tax.
AI stops being a private tool. It becomes shared team infrastructure.
What you get
A purpose-built agent. Fully managed.
Each Tiny Lab agent has a defined domain, a characteristic way of approaching problems, and a predictable scope. Your team learns what to ask, when to trust the output, and when to push back. The behavior holds as the work gets harder and the team gets bigger.
Team Orchestrator available now
Coordinates work in a shared channel. Tracks decisions, holds context across threads, and keeps things from falling through the cracks. This is where every team starts — and once they have one, they start imagining everything else.
How it works
Clear scope. Managed from day one.
When you apply for early access, we work with you to configure the right agent for your team's first deployment. You bring your LLM API key, and we handle provisioning, hosting, and all lifecycle management.
The agent joins a dedicated Slack sandbox, introduces itself, and starts working alongside your team. Context accumulates. The team builds a shared mental model of what to ask and what to expect. Over time, work gets faster. Not because the model got smarter, but because the team stopped paying the context tax every day.
On setup: We start in a dedicated Slack sandbox — a separate workspace where your team and the agent work together, build trust, and prove value before moving into your existing Slack.
$500/month per agent. Design partner pricing includes full hosting, operations, and support from the Tiny Lab team.
FAQ
What is a design partner?
A team that gets early access and works closely with us as we build. You get a fully managed agent deployment; we get real feedback that shapes the product. Design partner pricing is $500/month per agent.
What agent do design partners get?
The Team Orchestrator — a channel-native agent that coordinates work, tracks decisions, and keeps threads moving. It's the right starting point for every team, and the fastest way to understand what else you'd want.
Do we need to change how we work?
No. The agent works in Slack, where your team already works.
Do we bring our own LLM API key?
Yes. Tiny Lab runs on your LLM account. Model inputs and outputs stay with your provider. You control model choice and costs.
Which models do you support?
We start with a validated set of providers and expand based on demand. If you have a preference, tell us when you apply.
Does this run in our existing Slack workspace?
We start in a dedicated Slack sandbox — a separate workspace where your team and the agent can work together and build trust. Deployment into your existing Slack is available after the sandbox phase.
What does "managed" mean?
Tiny Lab handles provisioning, monitoring, lifecycle management, and updates. Runtime updates are gated — we test them internally before rollout. After any behavior-affecting update, the agent posts a change note directly in your channel. If something breaks, we can roll forward to the last known good state fast.
What data do you store?
We store the agent's identity and configuration files, and the minimal metadata needed to run the service. We do not store your Slack messages or conversation content. You can request deletion of your configuration data at any time.
What if we want to add more agents later?
That's the plan. The first agent is how you learn what else you need. We'll be ready for that conversation.
Apply for early access
We're opening design partner deployments now. Tell us about your team and what you'd want your first agent to do.