Riley Zammit

My personal rolodex of cool things. Solutions architect @Shopify.

[tobi lutke @tobi]

Productivity unlock: Le Mans and the new Edition in the same week.

Dropping now: The Everywhere Edition. 150+ updates.

Highlights in 🧵

[Shopify @Shopify]

Wondering what to ask Sidekick about your apps?

@mattdkoenig has a few ideas

https://t.co/FDwwidlc28

[Khairallah AL-Awady @eng_khairallah1]

Boris Cherny, the creator of Claude Code at Anthropic, just explained why he stopped prompting Claude entirely

in this talk he breaks down exactly how the future is teams of agents, not better prompts:

- the 14% you lose to CLAUDE.md before typing a word
- the features that change how Claude thinks before you type a word
- the features most Claude users don't know exist
- why typing prompts one at a time is already the slow lane

Boris Cherny: "Now I don’t prompt Claude anymore - I have loops that are running. My job is to write loops."

if you've been using Claude for more than a month and never left the chat window, you have at least 23 untouched features. probably 25

instead of another show tonight, watch this

make sure to bookmark it before it gets lost in your feed

my breakdown of all 25 features is below

[eric zakariasson @ericzakariasson]

try it here https://t.co/8R4XNCUOfe

[Shopify @Shopify]

any retailer, any AI platform, one protocol

join @mcfazeli, @igrigorik, and @aaronglazer to talk about how and why we built UCP

https://t.co/ZiNZcinT9G

[Riley Zammit @R_J_Z]

@recap_david @therecapai NEWSLETTER

[David Roberts @recap_david]

I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000+ daily readers)

(and I’m nuts for open-sourcing it)

The AI system behind @therecapai clones how a human writer would function, but each step is packaged into an agentic workstream.

The full automation handles:

→ Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news'
→ Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter
→ Builds custom images based on each story with ChatGPT image generator

This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop)

and call me crazy, but I'm giving it away for free.

I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build.

Just Like & RT, follow me, and comment on this thread "NEWSLETTER" (must be following so I can dm you)

Also you can see the actual contents of the newsletter for yourself with the link below, proof of the quality that is possible with AI.

RIP legacy media companies 💀 AI is here.

[Riley Zammit @R_J_Z]

This is huge - UCP lets agents complete checkout on behalf of a customer.

If you're a Shopify app developer you can extend UCP so customer agents are aware of your capabilities. E.g. you can expose loyalty points, specific fulfillment rules, and bespoke discount rules to agents

[tobi lutke @tobi]

Shopify is building the foundation for agentic commerce.

Universal Commerce Protocol, which we co-developed with Google, is now live. UCP will make it faster for agents and retailers to integrate.

It’s open by default, so platforms and agents can use UCP to start transacting with any merchant. Major retailers are already using it.

Agents can handle everything from discovery to fulfillment, and support things like discounts, subscriptions, and loyalty programs. We’ve accounted for all types of commerce.

[Boris Cherny @bcherny]

I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.

My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.

So, here goes.

[Riley Zammit @R_J_Z]

Big day at Shopify! Take Sidekick for a spin (coming soon with your apps). Declarative commerce is coming

[Shopify Developers @ShopifyDevs]

The Renaissance Edition is here. Let's chat more about it.

Join @eytanseidman, @jzazove, @aaronglazer, @darius_gai, and @liam_at_shopify as they break down what’s new for devs.

Drop your questions 👇

https://t.co/rAw29yBqDu

[Riley Zammit @R_J_Z]

Crazy to see the upward trajectory of Shopify merchants!

[Harley Finkelstein @harleyf]

Total global Black Friday Cyber Monday sales by Shopify merchants over the last 5 years:

2021 - $6.3B
2022 - $7.5B
2023 - $9.3B
2024 - $11.5B
2025 - $14.6B

@Shopify merchants showed up.

[Riley Zammit @R_J_Z]

@LoukasHambi FUNNEL

[Riley Zammit @R_J_Z]

@Jonnyvandel ARCADS

[The Boring Marketer @boringmarketer]

my current vibe marketing stack, anything I’m missing out on?

workflows / automation:
- n8n
- apify
- openrouter (Claude 4.0 / gpt o3)

strategy / research:
- manus

tools / internal apps:
- replit
- Claude 4.0
- Gemini 2.5

testing / learning:
- cursor
- mcps

things I want to try:
- veo 3

[Carlos E. Perez @IntuitMachine]

Shocker! Claude 4 system prompt was leaked, and it's a goldmine!

The Claude system prompt incorporates several identifiable agentic AI patterns as described in "A Pattern Language For Agentic AI." Here's an analysis of the key patterns used:

Run-Loop Prompting: Claude operates within an execution loop until a clear stopping condition is met, such as answering a user's question or performing a tool action. This is evident in directives like "Claude responds normally and then..." which show turn-based continuation guided by internal conditions.

Input Classification & Dispatch: Claude routes queries based on their semantic class—such as support, API queries, emotional support, or safety concerns—ensuring they are handled by different policies or subroutines. This pattern helps manage heterogeneous inputs efficiently.

Structured Response Pattern: Claude uses a rigid structure in output formatting—e.g., avoiding lists in casual conversation, using markdown only when specified—which supports clarity, reuse, and system predictability.

Declarative Intent: Claude often starts segments with clear intent, such as noting what it can and cannot do, or pre-declaring response constraints. This mitigates ambiguity and guides downstream interpretation.

Boundary Signaling: The system prompt distinctly marks different operational contexts—e.g., distinguishing between system limitations, tool usage, and safety constraints. This maintains separation between internal logic and user-facing messaging.

Hallucination Mitigation: Many safety and refusal clauses reflect an awareness of LLM failure modes and adopt pattern-based countermeasures—like structured refusals, source-based fallback (e.g., directing users to Anthropic’s site), and explicit response shaping.

Protocol-Based Tool Composition: The use of tools like web_search or web_fetch with strict constraints follows this pattern. Claude is trained to use standardized, declarative tool protocols which align with patterns around schema consistency and safe execution.

Positional Reinforcement: Critical behaviors (e.g., "Claude must not..." or "Claude should...") are often repeated at both the start and end of instructions, aligning with patterns designed to mitigate behavioral drift in long prompts.

[Riley Zammit @R_J_Z]

@rom1trs ai agent

[Riley Zammit @R_J_Z]

Shopify is now the most powerful platform for developers building AI commerce tools and experiences

[tobi lutke @tobi]

Shopify's Summer ’25 Edition: Horizons

Amazing new theme, MCPs for everything, and so much more, some of my favorite updates in 🧵

[Riley Zammit @R_J_Z]

@pablo_rothbart ICON

[matt palmer @mattyp]

Great Replit + Ben's Bites workshop this morning!

We built my SF Outdoor Spaces map from scratch in under 40m. Looking forward to the next one

[Romain Torres @rom1trs]

this ai agent replaces a $100K/year growth manager and creates 100 videos a day

I built a fully-autonomous ai agent that repurposes winning ads on autopilot.

I talked with dozen of marketers from..
- top YC startups
- hyper-scaling DTC brands
- $8fig ads agencies

They all started implementing this and got amazing results!

here’s the process:
> upload a winning ad
> agent analyze it
> spin hundreds of fresh, proven ads, ready to scale

built it in 5min with https://t.co/NCdxkHvPnn API combined with
gumloop