Keywords AI

Pickaxe vs Rivet

Compare Pickaxe and Rivet side by side. Both are tools in the No-Code AI Builders category.

Quick Comparison

	Pickaxe	Rivet
Category	No-Code AI Builders	No-Code AI Builders
Website	pickaxeproject.com	rivet.ironcladapp.com

How to Choose a No-Code AI Builders Tool

Key criteria to evaluate when comparing No-Code AI Builders solutions:

Visual builder qualityHow intuitive and powerful the drag-and-drop interface is for building AI workflows.

Channel supportDeployment options — web chat, Slack, WhatsApp, voice, API, etc.

Customization depthHow far you can go beyond templates before hitting platform limitations.

LLM provider flexibilityChoice of underlying AI models and ability to switch between them.

AnalyticsConversation analytics, user behavior tracking, and performance metrics.

About Pickaxe

Pickaxe is the leading platform for building, deploying, and monetizing AI-powered tools without code. Unlike general app builders, Pickaxe specializes in helping creators build "GPT Wrappers" — custom AI tools they can embed on websites or sell to end users. It handles hosting, payment integration, and usage tracking, making it the go-to for entrepreneurs building AI micro-products.

View Pickaxe profile →Visit website

About Rivet

Rivet is an open-source visual AI programming environment for building AI agent chains.

View Rivet profile →Visit website

What is No-Code AI Builders?

Visual platforms that let non-developers build AI agents, chatbots, and automated workflows without writing code.

Browse all No-Code AI Builders tools →

Frequently Asked Questions

What is a no-code AI builder?▾

A no-code AI builder is a visual platform that lets you create AI-powered chatbots, agents, and workflows without writing code. You design conversation flows, connect knowledge bases, and deploy across channels using a drag-and-drop interface.

When should I use a no-code builder vs a code-based framework?▾

Use no-code builders when you need to ship quickly, your team lacks AI engineering skills, or the use case is straightforward. Switch to code-based frameworks when you need complex custom logic, deep integrations, or full control over the AI pipeline.