Move all the info from 100 emails into 1, once a day.
A daily AI digest written for where you actually are, plus one verified skill you can use tomorrow. Newsletter aggregation lands in version 1.5; pick up your shielded address now.
A reading service for people who already read too much.
We run a small newsroom that reads everything written about AI today and writes you one email about it tomorrow morning. The page is long. The newsletter is short.
- i.
One email a day.
Sent at 5pm EST. Read it on the train. If today was quiet, the email is short. If today was loud, the email is still short.
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A shielded subscription address, reserved at signup.
Each reader gets a unique you.xxxx@yetanotherupdate.ai address. Once forwarding goes live in version 1.5, the newsletters you forward there get aggregated into your digest and the transactional mail gets passed through to your real inbox. The address is yours from day one.
- iii.
Framing that fits where you are.
Same news, different version for a parent than for a senior ML engineer. We sort readers across 45 cells and write each story 45 ways.
Sign up today. Get the daily digest tomorrow. Forwarding folds in at version 1.5.
Setup takes about a minute. The first issue lands at your local delivery time the next day, written for the coordinate you chose at signup. A couple of weeks after public launch, the shielded address you reserved starts pulling forwarded newsletters into the digest as well. You will get a heads-up email the day the forwarding pipeline turns on.
YOUR SUBSCRIPTIONS YETANOTHERUPDATE.AI YOU
----------------- ------------------ ---
newsletter -+
+--> you@yetanotherupdate.ai --+
newsletter -+ |
| +--> aggregate + score --+
newsletter -+ | |
| v
2FA code --> forwarded to your real inbox | +-------------+
| | THE 5PM |
receipts --> forwarded to your real inbox | | DIGEST |
| +-------------+
v |
editorial desk |
curriculum + skill |
+--------------------------+Same news. Forty-five different framings.
Three technical depth levels, three awareness levels, five curriculum tracks. We sort each new reader into one cell on signup, then the digest is rewritten for that cell. A senior ML engineer and a worried parent get the same headlines, in entirely different words.
The cell is not a label. It changes as you read. Click any cell at right to preview the framing in section 04.
A specimen page from yesterday.
Each digest has four parts: an editorial lead written for you, today's curriculum lesson, one verified skill, and a tagged feed of stories pulled from the newsletters you subscribed with your shielded address.
- Lead, written for your cell~3 min
- Today's curriculum lesson~1 min
- Today's skill~1 min
- From your subscriptions~2 min
Switch the persona at section 03 to see the same news re-framed.
Claude 5: 1M context, sub-agents are first-class, function-calling spec rewritten.
Decide if this changes your migration plan in tomorrow's standup. Don't waste two days re-reading the changelog.
Pricing is roughly flat to Sonnet 3.7 under 200k tokens. The function-calling SDK has a breaking change on `tools[].input_schema` (was `parameters`). Sub-agents replace the recursive loop pattern and cut p99 latency by 40% on the eval we ran. Migration diff is in the link.
Open the diff link, scan the 12-line breaking change list, decide before standup whether you want a one-day spike or a two-week migration.
Function-calling versus tool-use, drawn out
Function-calling is a JSON-schema contract the model fills in. Tool-use is the broader pattern where the model decides which tool, in what order, with what inputs. Today's lesson: a side-by-side trace of the same task in both modes, with notes on where each one wins.
If you are not sure a citation is real, omit it. Do not invent.AI Act Phase 2 enforcement is live. Three-item compliance checklist for shipping to EU.
Today's fines clarify what counts as 'general-purpose AI.' If your product (1) ships an LLM endpoint to consumers in the EU, (2) generates synthetic media without opt-in labels, or (3) trains on EU user data without disclosure, you have 60 days. Most line-of-business B2B SaaS is unaffected.
Deep Research raised max output to 80k tokens, dropped per-call price 30%.
If output length was the constraint, this changes the math. We re-ran the same eval. p50 quality up, p95 unchanged, latency up 18%. The shipping decision: if your product builds on long-form research output, kick the spec back open.
Three more headlines from your subscriptions, summarized in one line each
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