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Developers: How-Tos, SDKs & Routing Guides — ShareAI Blog

How-tos, code samples, and SDK tips for building on ShareAI. Learn routing policies, failover, pricing controls, and best practices to ship fast with one API across many providers.

Pricing AI Workflows by Runs, Documents, Tickets, or Outcomes

AI workflow pricing works best when the billable unit matches customer value: runs, documents, tickets, outcomes, or routed AI usage. …

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AI Plugin Monetization for WordPress, CMS, and Commerce Apps

A practical guide to pricing AI-heavy WordPress, CMS, and commerce app actions by real usage with ShareAI Builder. …

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AI API Failover: Keep Apps Running When a Model Disappears

A practical guide to AI API failover, fallback routing, and model abstraction for teams that cannot afford to let one model outage or policy change break …

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n8n AI Provider Switching: Route Models Without Rebuilding Workflows

How to keep n8n workflows flexible when AI providers, models, prices, and availability change, using a model routing layer instead of hardcoded provider nodes. …

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MCP Servers in Cursor: Secure Setup for AI Coding Workflows

A practical guide to using MCP servers in Cursor safely, including setup scope, tool permissions, credential handling, and how model routing fits into AI coding workflows. …

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Self-Hosted AI Billing: Meter Usage Without Rebuilding Billing

A practical guide to self-hosted AI billing for software teams that need deployment-level metering, customer-paid usage, and Builder payouts. …

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Zero Data Retention AI APIs: What Builders Should Verify

Zero data retention AI APIs can reduce vendor-side storage risk, but Builders still need to verify provider logs, endpoint coverage, gateway behavior, and internal retention before …

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EU AI Endpoint: Keep AI Requests in the Right Region

A practical guide to evaluating EU AI endpoints, data residency, routing, logs, fallback behavior, and where ShareAI fits for production teams. …

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AI Policy Enforcement: Turn AI Rules Into Runtime Controls

How runtime AI policy enforcement helps teams control model access, tool calls, regions, costs, logs, and approvals. …

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MCP Registry Governance: Control Tool Access Before Agents Use It

How to treat MCP registries as governed infrastructure for agent tools instead of just a convenient discovery layer. …

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