dAIgest
An AI-powered Knowledge Digest with Instant Clarification
www.dAIgest.inRole: Product discovery + Product strategy + UX flows + MVP planning (Builder/PM)
Status: Hobby project · Prototype in progress
TL;DR
dAIgest is an AI-first reading experience that helps people keep up with high-signal content (email newsletters, Medium articles, and other sources) without drowning in unread backlog. It converts long-form inputs into an Inshorts-style card feed so users can skim fast, save what matters, and deep-read when needed.
In Phase 2, dAIgest adds Instant Clarification: a real-time "Talk to an Expert" layer that helps users understand difficult concepts while they're reading—so learning compounds over time.
The Problem
What's happening
We intentionally subscribe to valuable content—Substack, Medium, newsletters, creator updates, community posts—but it arrives fragmented across inboxes and platforms.
The real pain
The pain isn't only "too much to read." It's the decision fatigue:
- • Opening each email/article
- • Scanning to find the gist
- • Deciding whether it's worth a deep read
- • Remembering where to find it later (or never doing it)
Over time, people either stop reading entirely or accumulate a backlog that creates guilt and avoidance.
The Goal
Create a daily reading loop that makes it effortless to stay informed in 5–10 minutes/day.
What success looks like — Users can:
- •Process their daily content quickly
- •Discover what's truly relevant
- •Build a "saved knowledge vault" they can return to
- •Get instant clarity when something doesn't fully make sense
Target Users & Jobs-to-be-Done
Knowledge Workers
PMs, engineers, founders, operators who need to stay informed.
Curious Learners
Those who follow newsletters + Medium but struggle with backlog.
Mobile-first Readers
Consume content in small pockets of time throughout the day.
Jobs to be Done
- •"Help me get today's key ideas in minutes."
- •"Let me decide what to ignore vs save vs deep-read."
- •"Make my backlog shrink, not grow."
- •"Help me remember the best insights."
- •"Help me clarify concepts quickly so I can truly understand and apply them."
Phase 1 — Reading Module (MVP)
dAIgest turns incoming content into a feed designed for fast comprehension and triage.
Content Ingestion
Bring content from email newsletters (via forwarding or Gmail read-only), Medium, and other platforms via links/connectors.
Inshorts-style Cards
Each item becomes a card with source, title, date, 3-6 bullet summary, and AI-generated tags.
Swipe Decisioning
Dismiss/Archive, Save to Vault, or Open full article — reduce friction to decide fast.
Vault + Search
Saved items become searchable, turning daily reading into a growing personal knowledge base.
Why this is different
Many tools summarize content. dAIgest is designed around a habit loop: ingest → summarize → decide → save → revisit. The product is less about "a place to read" and more about reducing friction to decide—and helping users build a consistent daily learning system.
Phase 2 — Instant Clarification
Once the reading loop is sticky, dAIgest adds a real-time "clarity layer" for moments when summaries aren't enough.
Need Clarity? Trigger
While reading, tap 'Talk to an Expert' to get instant clarification on difficult concepts.
Context Capture
AI captures what you're reading and what you're confused about, reframes into a clean prompt.
Expert Routing
Request routes to an available expert for a short real-time conversation with per-minute pricing.
Session Recap
After the session, receive key points + next steps. Both sides rate each other for quality.
Why it matters
This converts passive reading into active understanding: quick clarification prevents shallow learning, concepts stick better, and users can apply what they learn faster.
Key Product Decisions
Why "reading first" is intentional
Marketplaces often fail if they start without repeated usage, clear trigger moments, enough context for matching, and trust signals.
Phase 1 creates: daily engagement, preference signals (topics/sources), and a reusable "clarity object" (context + intent) that powers routing in Phase 2.
Why "dismiss from feed" vs deleting emails
True deletion requires deeper permissions and increases user anxiety. Early versions focus on feed triage, not inbox management.
Success Metrics (Phase 1)
Activation
- •% users who connect a source and see first feed within 3 minutes
- •# of cards generated on Day 0
Engagement
- •Cards consumed per day
- •% deep reads
- •Saves per week
Retention
- •D1 / D7 retention
- •Weekly Active Readers
Value
- •Time-to-gist: 20 cards in <5 minutes
- •Backlog reduction week over week
Risks & Mitigations
Becoming 'just another reader'
Mitigation: Make the feed + swipe decisioning the hero, not integrations.
Connector complexity
Mitigation: Start with email + link import; expand connectors after MVP traction.
Summary quality variance
Mitigation: Thumb up/down feedback, 'view original,' and continuous tuning.
Trust and credibility (Phase 2)
Mitigation: Tiered verification: identity → topic test → performance verified.
What We Achieve
For Users
- •Stay informed daily with minimal effort
- •Reduce backlog anxiety
- •Build a searchable personal knowledge vault
- •Get instant clarity when stuck
For the Product (Long Term)
- •A scalable "knowledge inbox" that can ingest multiple sources
- •A context-aware expert layer that expands based on evidence
Current Status & Next Steps
Phase 1 prototype in progress (feed + summary cards + actions)
Phase 1 Next Steps
- • Finalize ingestion approach (email forwarding or Gmail read-only)
- • Ship feed + summaries + vault
- • Add analytics to measure activation and retention
Phase 2 Next Steps
- • Build "Need clarity?" flow (context capture + expert routing)
- • Pilot with a curated expert pool
- • Validate match time, satisfaction, and repeat usage