Neural Architecture Overview
Workiza represents a paradigm shift from **User-Initiated** AI (Chatbots) to **Event-Driven** AI (Autonomous Agents). The architecture is designed to function as a "shadow workforce" that operates asynchronously alongside your human teams.
The Trigger Layer
Agents listen for JSON payloads from webhooks (Zapier, Make, Segment) or direct API calls. No human interface is required to start a job.
The Execution Layer
Once triggered, the agent spins up a dedicated container, accesses MindFiles™ for context, performs the task, and terminates.
Agent Chassis Specifications
The Fabricator Console allows for the deployment of three distinct chassis types, each optimized for specific cognitive loads and output formats.
Lead Qualifier (L4_EVENT)
- Input: Raw lead data (Name, Email, Company).
- Process: Cross-references LinkedIn API, Crunchbase, and Company News.
- Output: 0-100 Lead Score + Personalized Email Draft.
- Cost: $0.45 per execution.
Deep Researcher (L5_SWARM)
- Input: Topic, Ticker Symbol, or Competitor URL.
- Process: Recursive web crawling (Depth: 3 layers). Sentiment analysis of news.
- Output: 5-10 Page PDF Intelligence Dossier with citations.
- Cost: $2.50 per execution.
Integration Protocols
Developer Access Restricted
The Neural API is currently in Private Beta for enterprise partners. Public access to programmable endpoints (v1/trigger) is scheduled for Q4 2026. To request early access keys, please contact support.
Once authorized, you may trigger agents programmatically via a POST request to your specific Agent Endpoint.
Future V1 Spec: JSON Payload
POST https://api.workiza.ai/v1/trigger Content-Type: application/json Authorization: Bearer wk_live_99821... { "agent_id": "agn_71pm8bmh4", "context": { "target_company": "nvidia.com", "priority": "high", "directives": [ "Analyze Q3 earnings", "Check for insider trading signals" ] } }
MindFiles™ Security
MindFiles™ is the proprietary shared memory layer of Workiza. Unlike standard LLM context windows which reset, MindFiles™ persists key corporate data in a vector database encrypted with **AES-256**.
SOC2 Type II Compliance
All data processing occurs within isolated containers. Data is encrypted in transit (TLS 1.3) and at rest. We do not train our foundational models on customer MindFiles™ data without explicit written consent.