Build your own AI newsletter for the topics that actually matter to you.
Turn fragmented news into a premium, personalized briefing with source-aware AI summaries, tone controls, regional filters, and delivery that matches your schedule.
AI infrastructure signal
Personalized around United States, written in a executive and concise style with neutral factual framing.
Concise developments, structured context, and why it matters for readers tracking ai infrastructure.
Concise developments, structured context, and why it matters for readers tracking markets.
Concise developments, structured context, and why it matters for readers tracking regulation.
Built for people who want structured monitoring instead of infinite tabs and duplicate alerts.
Built for people who want structured monitoring instead of infinite tabs and duplicate alerts.
Built for people who want structured monitoring instead of infinite tabs and duplicate alerts.
Built for people who want structured monitoring instead of infinite tabs and duplicate alerts.
A productized research workflow, not another thin news wrapper.
The MVP is built to support real ingestion, issue history, billing logic, S3 artifacts, and an ECS-ready pipeline from day one.
Keywords, region, narrative tone, and political framing travel together through signup, storage, and delivery.
Structured prompts produce concise briefs, why-it-matters context, watchlists, and multi-template issue layouts.
HTML and text rendering, local preview mode, and provider abstraction for Resend or SES.
Issues are stored with source references so readers can revisit what was sent and why.
Tone and political preference adjust presentation, not the factual substrate.
Designed to feel like the front door to a serious briefing product.
Use the placeholder block as-is locally, then swap in real customer evidence when the product ships.
We replaced four alerting tools with one briefing our team actually reads.
The political framing control is subtle in the right way. It shapes interpretation without distorting the facts.
The issue history made it usable as an internal research archive from week one.
Start simple, scale the number of briefings later.
Validate the signal with one weekly newsletter and limited history.
For operators and curious readers running a few focused briefings.
For investors, teams, and analysts who need volume, archives, and control.
Private deployments, policy controls, custom sourcing, and team workflows.
Questions you will likely have during local setup.
Yes. The web app uses local mock persistence, cookie sessions, and billing placeholders until you add real credentials.
The Python package implements a real modular pipeline with placeholder integrations and preview-safe defaults.
Yes. The app and jobs are separated intentionally so web goes to Vercel and scheduled jobs go to ECS with S3-backed artifacts.
No. The prompt templates are designed so framing affects emphasis and narrative, not the source facts.
Build the first version locally, then scale the same shape into production.
Start in mock mode, plug in Supabase, Stripe, OpenAI, S3, and email when ready, then run the same jobs package in ECS on a schedule.