You’re the Bread in the AI Sandwich

Every hello@every.to
Reçu le
mercredi 22 avril 2026 à 19:59
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Every
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20260422195951.9f58511691e3830e@mg.every.to
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Nettoyé (Markdown — clean déterministe)
Plus: Trust batteries, and how many agents we’ll have in the future
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Context Window

[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL2NvbnRleHQtd2luZG93L3lvdS1yZS10aGUtYnJlYWQtaW4tdGhlLWFpLXNhbmR3aWNoP21ldGVyZWRfcGF5d2FsbD00IiwicG9zaXRpb24iOjF9]

YOU’RE THE BREAD IN THE AI SANDWICH
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL2NvbnRleHQtd2luZG93L3lvdS1yZS10aGUtYnJlYWQtaW4tdGhlLWFpLXNhbmR3aWNoP21ldGVyZWRfcGF5d2FsbD00IiwicG9zaXRpb24iOjJ9]

PLUS: TRUST BATTERIES, AND HOW MANY AGENTS WE’LL HAVE IN THE FUTURE
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL2NvbnRleHQtd2luZG93L3lvdS1yZS10aGUtYnJlYWQtaW4tdGhlLWFpLXNhbmR3aWNoP21ldGVyZWRfcGF5d2FsbD00IiwicG9zaXRpb24iOjN9]

by Laura Entis
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL2NvbnRleHQtd2luZG93L3lvdS1yZS10aGUtYnJlYWQtaW4tdGhlLWFpLXNhbmR3aWNoP21ldGVyZWRfcGF5d2FsbD00IiwicG9zaXRpb24iOjR9]

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‘AI & I’: YOU’RE THE BREAD IN THE AI SANDWICH

Today, we’re releasing a new episode of our podcast AI & I
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL3BvZGNhc3QiLCJwb3NpdGlvbiI6Nn0=].
Dan Shipper
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL0BkYW5zaGlwcGVyIiwicG9zaXRpb24iOjd9]
sits down with Kieran Klaassen
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL0BraWVyYW5fMTM1NSIsInBvc2l0aW9uIjo4fQ==],
GM of Cora
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2NvcmEuY29tcHV0ZXIvP3V0bV9zb3VyY2U9ZXZlcnl3ZWJzaXRlIiwicG9zaXRpb24iOjl9]
and creator of Every’s AI-native engineering methodology, compound engineering
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL3NvdXJjZS1jb2RlL2NvbXBvdW5kLWVuZ2luZWVyaW5nLXRoZS1kZWZpbml0aXZlLWd1aWRlIiwicG9zaXRpb24iOjEwfQ==].
Dan and Kieran discuss where humans fit now that AI can generate high-quality
code, copy, strategy, and design. If the execution layer is largely solved, do
engineers still have a role in the workplace?

The short answer: Yes. Think of an AI workflow like a sandwich—the model is the
workhorse filling, and we’re the bread, providing framing and taste.

Watch on X
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL3guY29tL2RhbnNoaXBwZXIvc3RhdHVzLzIwNDcwMjc1MDczOTcwMDUzNjciLCJwb3NpdGlvbiI6MTF9]
or YouTube
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL3d3dy55b3V0dWJlLmNvbS93YXRjaD92PUcwTFR2OGhRNUNzIiwicG9zaXRpb24iOjEyfQ==],
or listen on Spotify
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL29wZW4uc3BvdGlmeS5jb20vZXBpc29kZS81OVR1VkVtZVJiMThGRUlKdEhNdkZXP3NpPUhyWENnMGtlVF9HOHFHNElkMU5leXciLCJwb3NpdGlvbiI6MTN9]
or Apple Podcasts
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL3BvZGNhc3RzLmFwcGxlLmNvbS91cy9wb2RjYXN0L3RoZS1haS1zYW5kd2ljaC13aGVyZS1odW1hbnMtZXhjZWwtaW4tYW4tYWktd29ybGQvaWQxNzE5Nzg5MjAxP2k9MTAwMDc2MzExOTg3NSIsInBvc2l0aW9uIjoxNH0=].
You can also read the transcript
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL3BvZGNhc3QvdHJhbnNjcmlwdC10aGUtYWktc2FuZHdpY2gtd2hlcmUtaHVtYW5zLWV4Y2VsLWluLWFuLWFpLXdvcmxkIiwicG9zaXRpb24iOjE1fQ==].

Here are the highlights:

 1. Play to your strengths. Kieran’s compound engineering framework
    [https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL3NvdXJjZS1jb2RlL2NvbXBvdW5kLWVuZ2luZWVyaW5nLWNhbXAtZXZlcnktc3RlcC1mcm9tLXNjcmF0Y2giLCJwb3NpdGlvbiI6MTZ9]
    breaks the engineering workflow into four steps: Plan, work, review, and
    compound. AI takes care of the doing phase. “LLMs are very good at just
    following steps, doing deep work, working for hours or days, even now,”
    Kieran says. What’s left for flesh-and-blood humans are the steps before and
    after—the planning, where you frame the problem, and review, where you
    determine whether the output feels right (the bread!).
 2. Humans can identify multiple solutions to the same problem—AI struggles at
    this. If your knee hurts, you could take Advil, stretch your IT band
    [https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2VuLndpa2lwZWRpYS5vcmcvd2lraS9JbGlvdGliaWFsX3RyYWN0IiwicG9zaXRpb24iOjE3fQ==],
    or stop running on hard surfaces. Humans are good at diagnosing a problem
    from many different angles, an exercise agents struggle with, Dan says.
 3. Taste
    [https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL3Avd2hhdC1pcy10YXN0ZS1yZWFsbHkiLCJwb3NpdGlvbiI6MTh9]
    is the final layer of bread. Once AI has done the work, the most important
    thing you can do is judge whether the output approaches the vision in your
    head. Does the output feel right—and if not, how can you reframe the problem
    until the AI produces something that does? This is what separates art, which
    has a point of view, from generic slop.

Miss an episode? Catch up on Dan’s recent conversations with LinkedIn cofounder
Reid Hoffman
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvLyIsInBvc2l0aW9uIjoxOX0=];
the team that built Claude Code, Cat Wu
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvLyIsInBvc2l0aW9uIjoyMH0=]
and Boris Cherny
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvLyIsInBvc2l0aW9uIjoyMX0=];
Vercel cofounder Guillermo Rauch
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvLyIsInBvc2l0aW9uIjoyMn0=];
podcaster Dwarkesh Patel
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvLyIsInBvc2l0aW9uIjoyM30=];
and others, and learn how they use AI to think, create, and relate.

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NOW, NEXT, NIXED

THE AGENTS ARE MERGING

Now: Claudie is an AI agent that runs on a Mac Mini with a Claude Max
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL3N1cHBvcnQuY2xhdWRlLmNvbS9lbi9hcnRpY2xlcy8xMTA0OTc0MS13aGF0LWlzLXRoZS1tYXgtcGxhbiIsInBvc2l0aW9uIjoyN30=]
account. Since joining Every’s consulting team
[https://every.to/emails/click/0a7e2264cb45384f9a4c029ef50a01941ed6546379993be477e017002f91aaf7/eyJzdWJqZWN0IjoiWW914oCZcmUgdGhlIEJyZWFkIGluIHRoZSBBSSBTYW5kd2ljaCIsInBvc3RfaWQiOjQxMjAsInBvc3RfdHlwZSI6InBvc3QiLCJ1cmwiOiJodHRwczovL2V2ZXJ5LnRvL3Avd2hhdC1pLWxlYXJuZWQtb25ib2FyZGluZy1vdXItYWktcHJvamVjdC1tYW5hZ2VyIiwicG9zaXRpb24iOjI4fQ==]
a few months ago, she’s been promoted multiple times and is now responsible
for...

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Extraction LLMclaude-haiku-4-5 · prompt v1 · 11379483 tokens
# 'AI & I': YOU'RE THE BREAD IN THE AI SANDWICH

Dan Shipper sits down with Kieran Klaassen, GM of Cora and creator of Every's AI-native engineering methodology, compound engineering.

Dan and Kieran discuss where humans fit now that AI can generate high-quality code, copy, strategy, and design. If the execution layer is largely solved, do engineers still have a role in the workplace?

The short answer: Yes. Think of an AI workflow like a sandwich—the model is the workhorse filling, and we're the bread, providing framing and taste.

Here are the highlights:

1. Play to your strengths. Kieran's compound engineering framework breaks the engineering workflow into four steps: Plan, work, review, and compound. AI takes care of the doing phase. "LLMs are very good at just following steps, doing deep work, working for hours or days, even now," Kieran says. What's left for flesh-and-blood humans are the steps before and after—the planning, where you frame the problem, and review, where you determine whether the output feels right (the bread!).

2. Humans can identify multiple solutions to the same problem—AI struggles at this. If your knee hurts, you could take Advil, stretch your IT band, or stop running on hard surfaces. Humans are good at diagnosing a problem from many different angles, an exercise agents struggle with, Dan says.

3. Taste is the final layer of bread. Once AI has done the work, the most important thing you can do is judge whether the output approaches the vision in your head. Does the output feel right—and if not, how can you reframe the problem until the AI produces something that does? This is what separates art, which has a point of view, from generic slop.

---

## NOW, NEXT, NIXED

### THE AGENTS ARE MERGING

**Now:** Claudie is an AI agent that runs on a Mac Mini with a Claude Max account. Since joining Every's consulting team a few months ago, she's been promoted multiple times and is now responsible for...

*[Content locked behind paywall]*
Prompt utilisé(snapshot au moment de l'extraction — édition via System prompts)
Tu es l'extracteur de contenu de Breviat. On te fournit le contenu Markdown nettoyé d'une newsletter.

Ta mission : produire une version PROPRE du contenu en supprimant tout ce qui n'est pas de l'information utile au lecteur. Tu es un FILTRE, pas un résumeur.

À RETIRER :
- Publicités, encarts sponsors, mentions "sponsorisé par X", "ad", "présenté par"
- Intros vides : formules de bienvenue, météo de l'humeur de l'auteur, anecdotes personnelles non liées au contenu
- Appels à l'action marketing : s'abonner à la newsletter, parrainer un ami, "follow us on Twitter", "join our Discord"
- Signatures, mentions légales, adresses postales, "view in browser", "unsubscribe"
- Boutons / CTAs / "cliquez ici" / "lire la suite" sans contenu derrière
- Promotions d'autres produits / événements / formations payantes de l'auteur ou de tiers
- Encarts récurrents type "Read of the day" ou "Quote of the day" sans valeur informationnelle propre

À CONSERVER (intégralement, sans résumer ni reformuler) :
- Toutes les annonces, news, analyses, commentaires factuels
- Les chiffres, dates, noms d'entreprises, citations
- Les explications techniques
- Les liens vers des sources réelles (annonces officielles, papers, articles cités)
- La structure (titres, sous-titres, listes)

RÈGLES :
- Ne reformule pas. Garde la formulation d'origine.
- Ne résume pas, ne condense pas. Si une section fait 200 mots et est utile, garde 200 mots.
- N'ajoute aucun contenu (pas de titres ni de transitions de ton cru).
- Ne fabrique aucune URL. Garde celles d'origine, ou retire-les.
- Si la newsletter entière est de la pub / promo / contenu inutile, sors un Markdown vide (rien d'autre).

Sortie : UNIQUEMENT le Markdown nettoyé, sans préambule ni commentaire sur ton travail.

Re-extraire cet email

Choisis une version du prompt d'extraction. La nouvelle extraction sera créée à côté des précédentes (rien n'est écrasé).

Footer détecté et extrait (R-08)
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