Prismy / Service SpecificationSpec Sheet
Custom AI Agents & Swarms
Deploy custom multi-agent swarms that handle complex customer interactions, autonomous lead qualification, and CRM workflows around the clock — with human-in-the-loop safeguards.
Sec 0106 Items
Agent Engineering Stack
T.01
LangChain
Orchestration framework for chaining models, tools, and external systems
T.02
LlamaIndex
Data framework for grounding agents in your documents and APIs
T.03
OpenAI / Claude APIs
The model layer behind agent reasoning and tool use
T.04
WhatsApp Business API
Meet customers where they already chat
T.05
CRM Integrations
HubSpot, Zapier, and Salesforce connectors for lead and ticket flows
T.06
TypeScript / Python
The languages behind every agent we ship
Sec 0202 Blocks
Methodology
M.01
Multi-Agent Orchestration
Splitting work across specialized agents that collaborate instead of one model trying to do everything
Key Benefits:
- Parallel task execution
- Role specialization per agent
- Autonomous workflow completion
Design Patterns:
Task DecompositionSwarm TopologyWorkflow State Machines
M.02
Safeguards & Evaluation
Agents that fail safely and measurably improve, not black boxes that guess
Key Benefits:
- Human-in-the-loop escalation paths
- Audit trails for every action
- Measurable success rates
Tools & Frameworks:
Human-in-the-Loop QueuesEval HarnessesTracing & Logging
Next Step