How AI Summaries Work

AI summaries distill your ideas into their essence—2-3 sentences that capture the core concept, value, and purpose. This guide explains how summaries are generated and how to ensure they're accurate and useful. What AI Summaries Do

Purpose: Quickly understand an idea without reading the full description.

Use cases: Quick review - Scan your idea library without opening each idea Sharing - Give someone the "elevator pitch" version Search - Summaries are indexed for search, making ideas easier to find Clarity check - If the summary misses the point, your idea may need more clarity

What a good summary includes: 1. What it is - The core concept or product 2. Who it's for - Target audience or user 3. Why it matters - The problem solved or value delivered

Example:

Idea: (500 words about a fitness app for seniors)

Summary: "A mobile fitness app designed for adults 60+ that provides low-impact workout videos, health tracking, and social challenges to combat sedentary lifestyles and age-related health decline." How AI Generates Summaries The Process

1. Input analysis - AI reads your full idea description 2. Key extraction - AI identifies the most important sentences 3. Synthesis - AI combines key points into a coherent summary 4. Conciseness - AI condenses to 2-3 sentences (50-75 words) What AI Focuses On

AI prioritizes:

Plurigen.ai

Home · Features · Pricing · Connect to your coding agent · Blog · Documentation · Help Center · About