The AI Application Platform
Describe the outcome.
A-Team builds the system.
Create complete AI applications with skills, connectors, governance, runtime, and UI. Run them with OpenAI, Anthropic, Ollama, SGLang, or compatible models—in A-Team Cloud or your own environment.
$ a-team build
> Build a customer support operation that can answer policy questions, inspect orders, issue refunds under €100, and escalate exceptions.
- Parsing the outcomeIdentifying goals, actions, and boundaries from the description.
- Creating skills
- Connecting systems
- Applying guardrails
- Validating topology
- Deploying
- Test trace passed
An agent is a component.
Your business needs a system.
A-Team combines specialized skills, real tools, policies, routing, memory, interfaces, deployment, and operations into one application model.
Agent
One capability
Skills
Specialized roles
Connectors
Tools & data
Policies
Guardrails & routing
Interfaces
Generated UI
Built on A-Team
Meet Ada Mind—the platform working as a product.
Ada Mind is a mobile personal assistant that demonstrates A-Team across everyday domains: email, WhatsApp, documents, nutrition, travel, memory, voice, proactive notifications, and mobile-native actions.
Holds long-term memory across conversations and domains.
Generated · contract review
- Auto-renewal · 12 months
- Liability cap · below standard
- 6 clauses · standard
Platform capability
Understands context
Lifecycle
From description to running system.
Describe
Outcome and boundaries
goals, constraints, approval limits
Generate
Solutions, skills, connectors, policies, UI
the complete application model
Validate
Contracts, access, handoffs, quality
topology and permission checks
Deploy
Managed runtime and integrations
cloud or self-hosted target
Operate
Logs, metrics, tests, versions, rollback
production operations
Your intelligence layer
Choose the model. Change it tomorrow.
A-Team separates the application from the model provider. Use OpenAI or Anthropic APIs, connect Ollama, run SGLang against self-hosted models, or assign different models to different workloads.
- Mix models by skill or workload
- Keep private inference inside your network
- Avoid rewriting application logic during model changes
- Optimize cost, latency, privacy, and capability independently
Application layer
Skills · Connectors · Policies · UI
The application stays fixed while model endpoints change beneath it.
Your environment
Use our cloud—or install the platform in yours.
Launch quickly with A-Team Cloud or deploy a self-hosted instance into your own environment through the supported one-click installation path.
A-Team Cloud
Launch quickly on the managed runtime.
Private cloud
Deploy a self-hosted instance in your own cloud account.
On-premises
Install the platform inside your own datacenter.
Restricted networks
VerifyingOperate inside isolated or restricted network environments.
Platform architecture
Everything a complete AI application needs.
- 1
Experiences
Mobile, web, voice, chat, generated widgets
- 2
Solutions
Complete business applications
- 3
Skills
Specialized operational roles
- 4
Connectors
Tools, APIs, systems, data
- 5
Governance
Permissions, approvals, grants, handoffs
- 6
Runtime
Execution, state, memory, routing
- 7
Operations
Tests, logs, metrics, health, Git, releases
- 8
Infrastructure
Cloud or self-hosted, hosted or private models
Governance
Autonomy with explicit boundaries.
Every skill runs inside limits you set—and every action it takes is inspectable.
Operations
Treat AI systems like production software.
Test skills, inspect decision pipelines, trace tool calls, compare definitions with deployed state, analyze bottlenecks, version changes, and roll back safely.
Execution trace
- Support skillknowledge.search120ms
- Order skillcommerce.getOrder240ms
- Refund skillcommerce.refund180ms
- Escalationemail.send90ms
Solutions
What teams build on A-Team.
Customer Support Operations
Answers questions, accesses customer and order systems, performs bounded actions, and escalates exceptions.
- Systems connected
- Knowledge, Commerce, CRM, Email
- Control model
- Refund limits and approval on exceptions
Operational Command Center
Monitors live operations, coordinates specialized roles, and executes approved workflows across systems.
- Systems connected
- Telemetry, Ticketing, Runbooks, Comms
- Control model
- Role scoping and approved-action gates
Personal AI Companion
Combines long-term context, mobile capabilities, communication, documents, and proactive assistance.
- Systems connected
- Email, Messaging, Documents, Calendar
- Control model
- User consent and per-capability grants
Developer experience
Give your AI assistant the hands to build on A-Team.
Connect through A-Team MCP. The assistant can learn the platform specification, study examples, define the solution, validate it, deploy it, test it, inspect logs, and make controlled updates.
- $Connect MCP
- →Describe the system
- →Review architecture
- →Deploy
- →Test and improve
Build the application—not the agent stack.
Start with A-Team MCP, explore Ada Mind, or discuss a self-hosted deployment.