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Mini Apps

Thirteen mini apps. Each one is a piece you’d otherwise build by hand.

Same mini apps for every client. One fix reaches all of them.

All thirteen mini apps

Memory

KnowledgeCan it know our stuff?

Source-backed memory

Documents, collections, research notebooks, search, revisions and recall on the client’s own server. Answers trace back to a source, and the memory outlives whichever harness the client uses this year.

Instead of: A hand-built RAG pipeline per client, or a Notion setup the agent can’t really use.

A durable, source-backed knowledge archive from which agents and people recall documents.
ScribeWhat can it see, and can it change anything?

Chats into Knowledge, read-only

Read-only access to the sources you choose. Live messages and history run as separate jobs that pause and resume, and records are classified before anything reaches Knowledge.

Instead of: A custom scraper for every inbox, plus a long talk with the security team.

Read-only observation of many information sources, sorted and routed to knowledge, work or a person.

Coordination

Task BoardI can’t see what it did.

The work, where people can see it

A shared board of projects, issues, goals, dependencies and comments for agents and people. Agent work becomes visible progress with a name on it, and the board is your handover.

Instead of: Work lost in chat threads, with ownership and next steps lost with it.

Agent chat output turns into projects and issues on a shared work board with visible status.
Operator InboxWhy did it just stop?

One queue to a named person

One queue from every agent to a named person, who can approve, deny, clarify, reply, snooze or reprioritise. The full history is kept.

Instead of: Approval requests that land in a Slack DM and get lost.

One inbox where AI agents wait for a person to approve, deny or clarify their requests.
Evolving WorkflowsCan we automate what works?

Governed automation

Spots proven, repeated work and suggests it as a workflow. A person reviews the steps, then it’s versioned and runs on a schedule under explicit rules.

Instead of: A prompt someone pastes every week, or automation hard-coded too early.

Repeated, verified agent work becomes a reviewed, versioned and scheduled workflow.

Control

Rules & ApprovalsWhat stops it from doing something stupid?

Policy and decisions

Apps send the action they want to take. It checks the action against the client’s ruleset and answers allow, deny or hold for review, with the reason recorded.

Instead of: Policy checks scattered through every integration you wrote.

Agent actions pass a policy gate that allows, denies or holds each one and keeps the reason.
Organization PlaneWhich agent is whose?

Shared directory

The directory of organisations, people, agents and workspaces, and how they relate. It matters most when one client grows into many agents.

Instead of: A spreadsheet of agents, owners and accounts that’s always out of date.

A directory of people, agents and workspaces that makes clear who is doing the work.
Mesh Trust TopologyShow me the agent network.

Inspectable agent network

Registers each agent, maps who connects to whom and what they can do, records trust reviews, and sends contact decisions through Rules & Approvals.

Instead of: A diagram you draw by hand the night before the security review.

A network of AI agent peers, each on its own system, connected and building shared work together.

Connections

MarketplaceWhat does it have access to?

Governed integrations

One catalogue for the client’s integrations, credentials and permissions, with an audit trail of every use. Answer the access question from one screen.

Instead of: Keys in config files and one-off connectors for every client.

One governed catalog of agent tools that grants short-lived, single-use access without sharing keys.
Local Runtime BridgeOur files can’t leave this machine.

Governed local access

Connects a cloud agent to a workstation or on-premise server, exposing only approved folders and checked tools. Running commands stays off unless you turn it on.

Instead of: An SSH tunnel and a lot of trust.

A remote AI agent reaches the operator’s computer over a narrow bridge that opens only approved folders.
Remote SetupHow long until the next client is live?

Repeatable delivery

Turns a server install into one standard plan: a trial run, prerequisite checks, approval, the install, a check that it worked, and a record of it all.

Instead of: A manual checklist that changes slightly every time.

A repeatable console that plans, approves, runs and verifies remote agent deployments.

Creation

Open DesignCan our design lead steer it?

Agent design workflow

Runs design as a project, with set points where the agent pauses for a person’s answer before it continues. A repeatable process, not a slot machine.

Instead of: One-off images and code with no review points.

An agent-run design project that pauses at explicit points for a person to answer or decide.
Live ArtifactsCan I share that dashboard?

Durable interactive output

Hosts agent output as a small live app that refreshes, can be shared with a viewer link, and can be reused by agents later. It keeps working after you leave.

Instead of: A great report stuck inside a chat message.

An agent’s one-off answer becomes a live, refreshing mini-app or dashboard that can be reused.

Which mini apps for which project

Starter sets of mini apps by project
“Make it know our stuff”Knowledge, Scribe, optional Task Board
Agent control starterRules & Approvals, Operator Inbox, optional Local Runtime Bridge
Personal agent workspaceKnowledge, Task Board, Operator Inbox, Rules & Approvals
Small company agent operationsRules & Approvals, Operator Inbox, Task Board, Knowledge, Marketplace, Scribe
Design and live delivery studioOpen Design, Live Artifacts, Marketplace, Rules & Approvals
FDE delivery toolkitRemote Setup, Rules & Approvals, Operator Inbox, Local Runtime Bridge, Marketplace

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