Overview
Awakast built Adon to prove a product thesis: one cohesive assistant can deliver better daily utility than disconnected single-purpose tools.
The challenge
The platform had to remain useful across very different tasks, maintain context across sessions, and scale as a multi-tenant SaaS.
Our approach
We implemented independent capability agents with shared memory, orchestration routing, and team collaboration primitives in one commercial platform.
What we delivered
- •Capability-specific agents for recruiting, email, content, and docs
- •Shared memory for cross-session context retention
- •Team collaboration and shared workspace primitives
- •Commercial multi-tenant SaaS deployment
Architecture and implementation
- •Orchestration layer for routing and fallback handling
- •Prompt and quality controls isolated per capability
- •State and collaboration services separated from inference layer
Delivery timeline
Phase 1
Capability design
Defined independent agents and quality baselines.
Phase 2
Core orchestration
Implemented routing, memory, and shared account context.
Phase 3
Commercial launch
Released multi-tenant product and scaled customer usage.
Ongoing
Continuous iteration
Expanded language and workflow capabilities based on feedback.
Screens and artifacts
Capability coverage growth
Unified modules in production4modules
Technology
OpenAIPythonReactNode.jsPostgreSQLRedisKubernetes
Compliance and controls
- Tenant isolation in shared SaaS infrastructure
- Capability-specific safeguards and evaluation loops
- Operational monitoring for multi-step agent behavior
Key outcomes
- ✓Consolidated multiple business workflows into one product
- ✓Reduced context switching between tools
- ✓Validated repeatable architecture for client AI products
"Thanks to Adon, I can focus on strategy and creativity instead of repetitive operational tasks."
Claudio - Event Marketing Director