Agentic AI System Blueprints

Blueprints

System Architectures

Detailed blueprints for agentic systems: memory layers, tool registries, permission models, workflow state and execution loops.

Personal Agent Infrastructure Core

A persistent agent layer that follows an operator across contexts, remembers past work, and executes with tool access and permission boundaries.

→ Architecture Details
Memory layer, tool registry, context store, workflow state, execution loop, human approval.

Business Agent Architecture Production

Agents that operate across CRM, intake, documents, APIs and internal workflows with observability and failure recovery built in.

→ System Design
CRM integration, intake routing, document processing, API orchestration, reporting loops.

AI Workflow Repair Intake Conversion

Intelligent triage and architecture repair for broken Zapier, Make, HubSpot, Airtable and API workflows.

→ Process Overview
Diagnostic pipeline, failure classification, repair routes, fast fixes vs. full rebuilds.

Speed-to-Lead Architecture Performance

Sub-10-second routing from lead capture to CRM with enrichment, qualification and assignment logic.

→ Implementation Guide
Webhook processing, duplication prevention, scoring, routing rules, failover paths.

CRM Deduplication Layer Data

Deterministic and fuzzy matching to prevent duplicate records across CRM/API integrations.

→ Schema & Logic
Matching strategies, merge rules, conflict resolution, audit trails.

AI Lead Qualification Engine Intelligence

LLM-based qualification that scores and routes leads using custom criteria and context.

→ Model Configuration
Prompt templates, scoring rubrics, handoff rules, feedback loops.

Document Processing Agent Automation

OCR, classification, extraction and routing for contracts, proposals, and operational documents.

→ Pipeline Details
Claude OCR, parsing, validation, downstream integration.