Documentation Hub

A high-level introduction to the Vineflo AI platform architecture.

Step-by-step setup for new enterprise clients and integration teams.

API key management, OAuth flows, and service account setup.

Managing dev, staging, and production environment configurations.

Base URLs, authentication headers, rate limits, and error codes.

Trigger, monitor, and manage automation pipelines via API.

Programmatic access to LLM content generation with brand parameters.

Ingest, transform, and query your data pipelines programmatically.

Bi-directional CRM sync and AI enrichment for Salesforce orgs.

Document processing and workflow automation within the M365 ecosystem.

Notification routing, approval bots, and AI assistant integrations.

Trigger Vineflo automations from any external system via webhook.

How we store, process, and protect your data at every stage.

Our compliance posture and how we help clients meet requirements.

Our certification status and what it means for your risk posture.

Our testing cadence, responsible disclosure, and security audits.

Core principles for writing effective prompts across use cases.

Advanced reasoning patterns for complex task decomposition.

Structuring system prompts for consistent, reliable outputs.

How to measure and improve the quality of your AI outputs.

How the Vineflo platform is built for reliability and scale.

Data residency, failover, and latency optimisation across regions.

Managing custom and fine-tuned models within your organisation.

Logs, traces, metrics, and alerting for AI systems in production.