Teach Weave: Homework That Adapts to Every Kid

What I Built

Teach Weave is a full-featured lesson plan marketplace. Think of it like a next-generation alternative to Teachers Pay Teachers. It allows educators to buy and sell classroom materials, but with a massive technical upgrade: **dynamic, AI-powered document adaptation**.

Under the hood, I integrated a background job queue using **Inngest** and the **Vercel AI SDK**. When a lesson is uploaded, background workers analyze the content, verify state standards, and prepare it so buyers can customize the material instantly.

The Problem & The Solution

Every student learns differently, but teachers spend hours manually creating variants of worksheets (by reading level or language) or dealing with the painful, manual process of migrating their listings from legacy marketplaces.

Teach Weave solves these points with creator-centric workflows and robust AI helpers:

• TPT URL Import (Single-Click Migration): Creators paste any legacy Teachers Pay Teachers URL, and the server automatically scrapes the title, description, and preview metadata to prefill upload fields, saving hours of manual data entry.
• Multi-Document Zip & Watermark Pipeline: Supports resource bundles containing multiple documents (lesson plans, answer keys, worksheets). The platform automatically stamps PDFs with buyer-specific watermarks and compresses them on-the-fly into a secure ZIP download.
• AI-Adaptive Versions (Opt-in Beta): Allows buyers to dynamically adapt reading levels and translate languages. Creators retain complete control, with a global opt-in/opt-out toggle to protect visual-heavy designs.
• Founding Creator Funnel: A structured applicant pipeline with manual administrative promotion tools to showcase and prioritize resources from early-adopting educators.

Cool Tech Under the Hood