Developers

Developers Sep 12, 2026 · 8 min read

AI Gateway Guardrails: Validate Prompts and Outputs Before Users See Them

Production AI apps need checks before and after model calls. Learn how Builders can validate prompts, outputs, policy, and review paths around AI usage.

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Developers Sep 12, 2026 · 10 min read

Monetize AI Agent Loops: Price Repeated Inference Usage

Agent loops can multiply inference usage. Learn how Builders can route AI traffic through ShareAI, set a margin, and price repeated usage.

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Developers Sep 11, 2026 · 7 min read

Open-Source AI Gateway vs Marketplace API: What Builders Should Choose

Compare open-source AI gateway architecture with ShareAI’s marketplace API for routing, billing, failover, and Builder monetization.

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Developers Sep 10, 2026 · 6 min read

Claude Fable 5 API: When to Use a Premium Frontier Model

Claude Fable 5 is a premium model for long, difficult AI work. Learn when to use it, when to route elsewhere, and how ShareAI helps control cost.

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Insights Sep 10, 2026 · 8 min read

OpenRouter vs Portkey: Model Access or Gateway Control?

Compare OpenRouter vs Portkey by model access, gateway controls, pricing, observability, guardrails, deployment, and when ShareAI is the simpler model-access layer.

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Insights Sep 10, 2026 · 8 min read

Token Compression for LLMs: Cut Context Cost Before Routing

Token compression helps teams remove noisy context before model calls, lowering cost and improving routing decisions without hiding quality trade-offs.

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Developers Sep 10, 2026 · 7 min read

AI Agent Evaluation for Builders: Test Before You Monetize

AI agent evaluation helps Builders test quality, cost, latency, tool use, and fallback behavior before monetizing routed agent usage from existing apps.

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Developers Sep 9, 2026 · 8 min read

7 Best LLM Observability Tools for Production AI Apps in 2026

Compare the best LLM observability tools for production AI apps, including SigNoz, Langfuse, LangSmith, Helicone, Phoenix, WhyLabs, and PromptLayer.

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Developers Sep 9, 2026 · 8 min read

Claude Code Security: A Practical Governance Checklist for AI Coding Agents

A practical Claude Code security checklist for teams governing AI coding agents, MCP tools, model access, audit logs, spend controls, and Builder-owned apps.

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