Any page, in your terms

Understand anything, your way.

PageChew turns any article, paper, or thread into a source-linked explanation shaped by what you already know—then reads it aloud when you want.

No card required7-day cloud trialChrome-first
pagechew / live sampleAI VOICE · MARIN
ONE SOURCE · THREE LENSES0:18 PREBUILT

What changes when AI starts doing the work

For a product lead deciding what deserves roadmap priority.

English
0:000:18
PL
PRODUCT SIGNAL

The shift is from feature usage to delegated outcomes—with permission, progress, and takeover designed in.

Sample source · AI product memo
Native-languageTuned to what you knowSource-linkedReady to listen

THE REAL PROBLEM

Information is abundant. Attention with context is not.

Read-later apps make the pile larger. Generic summaries make the source disappear. Text-to-speech simply makes every word audible.

PageChew rebuilds the path through the material: less effort to decode it, more of the original meaning, and a clear bridge from what you know to what is new.

FROM PAGE TO UNDERSTANDING

A clearer path through difficult material.

Keep the original page where it is. PageChew builds a personalized explanation beside it, then saves the useful pieces for later.

01

Open any page

Use PageChew on an article, paper, blog, discussion, or saved source without leaving the browser.

02

Set your terms

Choose your language, knowledge level, familiar domain, goal, and preferred depth.

03

Understand with evidence

Read the personalized explanation beside the source and jump back to every important claim.

04

Listen or keep it

Hear the explanation naturally, save the useful cards, or continue with a deeper question.

CHOOSE HOW IT SHOULD LAND

Not one summary. Five reasoning paths—tuned to what you already know.

First choose how to digest the source: pitch it, teach it, reason through it, narrate it, or challenge it. Then set your knowledge benchmark and a familiar domain anchor—without letting the analogy masquerade as evidence.

THE SAME SOURCE

Model guidance — Using GPT-5.6

507 words · 3.4 min read · OpenAIOpen source
HOW SHOULD THIS LAND?
MAKE IT LAND FOR

Set assumed knowledge and a familiar domain. The analogy guides explanation; it never becomes source evidence.

SAME IDEA · NEW COGNITIVE ANCHOR · Explain specialist terms once

Think of model tier, reasoning effort, and prompt overhead as three linked controls: capability, thinking time, and input burden.

Analogy, not evidence
BEFORE · SOURCE EXCERPT507 words

GPT-5.6 introduces three workload tiers, six reasoning-effort levels, prompt-caching changes, and new execution modes. The guidance recommends choosing the model by workload instead of defaulting to the most capable option.

It also argues for leaner prompts, explicit content priorities, and representative evaluations that compare success, evidence, tokens, latency, and cost—not token reduction alone.

AFTER · PAGECHEW DIGEST78% shorter
DECIDE · ≤1 MIN

Choose by workload, then earn every extra token

507 words113 words0:46

Bottom line: choose the model tier that matches the workload, then test reasoning effort and a lean prompt on representative briefings. Use sol for frontier capability, terra for a balance of intelligence and cost, and luna for efficient high-volume work. Start migration at the current reasoning setting, then test one level lower. None is the latency baseline; low suits speed-sensitive work; higher settings must earn their cost in evaluations. Leaner prompts produced directional internal gains—roughly 10 to 15 percent higher scores with 41 to 66 percent fewer tokens—but the result must transfer to your workload. Preserve the conclusion, evidence, caveat, and next action. Compare quality, latency, and cost before rollout.

01What it is02Why now03Best proof04Consequence
0:00 / 0:46AI-generated voice · MarinGrounded only in the source

DESIGNED FOR UNDERSTANDING

Not just shorter. More usable.

TRANSLATE

Cross the language gap without losing the language of the field.

Hear the explanation in the language you think in, while important source terms stay intact.

DISTILL

Compress for the decision, not for a generic summary.

A product lead, engineer, founder, and researcher should not receive the same briefing.

TRACE

Know where every important claim came from.

Source accounting keeps the briefing connected to the article instead of replacing it with confident fog.

TRUST IS A PRODUCT FEATURE

Source-linked by design. Clear about what leaves your device.

PageChew keeps provider credentials on the server, separates source facts from its own inference, and offers device speech as an availability fallback. Saved browser content stays local unless you explicitly use a cloud feature.

Server-sideProvider credentials
ExplicitCloud processing actions
TraceableBriefing source blocks
Read the privacy details

A FEW HONEST ANSWERS

Before you make room in your routine.

Is PageChew another summarizer?+

No. A summary only removes words. PageChew changes the explanation around your language, knowledge, goal, and familiar mental models.

Does a digest replace the original article?+

No. PageChew preserves source links and evidence blocks so you can return to the original context whenever a claim matters.

Can I use Google to sign in?+

Google OAuth is available on the hosted beta portal. The Chrome side panel supports direct email sign-in today; Google-to-extension session sync will be enabled with the production domain.

Is there a mobile app?+

PageChew is Chrome-first today. The same account and saved knowledge model are designed to extend to mobile after the browser experience is validated.

START WITH WHAT YOU ALREADY READ

Chew your first difficult page.

Create an account, set your terms, and turn one real article into an explanation that finally lands.