SOP: AI Agent Workflows & Automation

Status: DRAFT (V1.0)

Last Updated: 2025-12-22
Owner: Nqobizitha Mlilo

At Nafuna Africa, we don't just build static scripts; we build Self-Annealing Agents that adapt, learn, and fix their own execution paths.

Antigravity (The Architect): Used as the primary engine to build and deploy agentic logic.
- Self-Annealing Loop: Agents are designed to monitor their own errors, update their directives (SOPs), and refine their Python execution scripts autonomously.
n8n (The Orchestrator): Acts as the "glue" between the AI agents and the real world.
- Connectivity: Used to interface agents with Directus, Google Workspace, PandaDoc, and other business platforms.
- Logic Routing: complex multi-step business logic is managed via n8n workflows to ensure deterministic outcomes for clients.

We offer high-value automation consulting to solve business bottlenecks:

Workflow Auditing: Identifying repetitive manual tasks in client operations.
n8n Deployment: Building custom, cloud-hosted automation environments for clients.
Agentic Integration: Deploying specialized localized agents to handle complex data processing or content generation within the client's existing software stack.

We need to aggressively market our AI and Automation capabilities as a core product offering.

Case Studies: Documenting how we use our own agents (like Antigravity + n8n) to manage Nafuna's lead gen and outreach.
Productization: Position "Nafuna Automation" as a SaaS-like service where we manage the "digital employees" (agents) for the client.

Directive Creation: Define the "What" (Goal and Rules) in Markdown.
Execution Script: Write the deterministic Python code for the "How".
n8n Integration: Wrap the script in an n8n workflow for scheduling, triggering, and cross-platform communication.
Annealing: Monitor for edge cases and update Step 1/2 as the agent encounters new data.

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