Blog
Practical guides on prompt engineering, prompt chains, and connecting AI tools to PromptHub.
Building a RBAC'd Prompt Library for a 20-Person Team
Stand up a shared prompt library with a role-based access model that separates who edits shared building blocks from who edits their own work, so the library stays coherent as the team grows.
The Complete Guide to Prompt Chains in 2026
Prompt chains connect multiple AI steps into one workflow. Learn the topologies, guardrails, costs, and how to build your first chain in PromptHub.
Exposing Your Prompt Library to Claude via MCP: A Working Example
Connect an MCP client to PromptHub with a scoped API key and it can search, read, and run your prompts, chains, skills, and agents under your own permissions.
Few-Shot vs Zero-Shot Prompting: When to Use Each
Zero-shot asks a model to perform a task with no examples; few-shot shows it a handful first. The right choice depends on how much format and edge-case handling the task actually needs.
How Agencies Package AI Workflows as Billable Deliverables
Turn ad-hoc AI work into a versioned, handoverable deliverable an agency can actually price and re-run, instead of tribal knowledge stuck in one person's chat history.
LLM Pricing Compared: GPT vs Claude vs Gemini (2026)
GPT, Claude, and Gemini pricing compared side by side, every figure traced to a verified source, plus a list of models already retired or retiring soon.
Prompt Chain Design Patterns: Sequential vs Conditional vs Parallel
Sequential, conditional, and parallel are the three prompt chain topologies — this guide covers how each one actually behaves and how to pick between them.
How to Standardize Support Macros with Prompt Versioning
Stop macro drift by putting every support macro in one versioned, role-gated library, where every edit creates history instead of silently overwriting it.
Understanding MCP: A Practical Primer for Platform Teams
MCP is the standard interface that lets an AI assistant call your existing tools and data — here's what a platform team needs to decide before adopting it.
What Is an AI Agent? (And How It Differs From a Prompt Chain)
An AI agent decides its own next tool call turn by turn, within a hard per-turn cap — a prompt chain instead follows a fixed path you designed in advance.
Introducing the PromptHub Blog
The PromptHub blog covers prompt engineering, prompt chains, and MCP integrations — practical documentation for builders, not marketing filler.