Elizabeth Griffiths

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Elizabeth Griffiths

Elizabeth Griffiths

@ElizabethInAU

Founder, Wellcome AI. Teaching leaders & teams to delegate work to AI. Yale-educated product exec, 2x CEO. Running courses across AU and virtually worldwide.

Byron Bay, Australia Katılım Kasım 2010
2.8K Takip Edilen493 Takipçiler
Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
Back after a while away. I've been building Wellcome AI, teaching business leaders and teams how to use AI at work. Not the hype. The practical stuff: what to delegate, how to give good instructions, where it genuinely helps. Running courses in AU and virtual globally. More soon
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Nayrhit B
Nayrhit B@NayrhitB·
The exact pitch deck that helped us raise a $9M Seed Round copy whatever you want VCs that invested: → @SusquehannaVC (led) → @LightspeedIndia@BCapitalGroup → Seaborne Capital → @beenextVC@sparrowcapvc@2point2club joined. fundraising is hard enough without guessing what investors want to see. so - I'm making our deck public. if you're raising right now, take it and make it yours. Reply 'deck' + follow (so I can DM it over)
Nayrhit B tweet media
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Millie Marconi
Millie Marconi@MillieMarconnni·
🚨 BREAKING: A developer on GitHub just built a tool that turns any GitHub repo into an interactive knowledge graph and open sourced it for free. It's called GitNexus. Think of it as a visual X-ray of your codebase but with an AI agent you can actually talk to. No server. No subscription. No enterprise sales call. Here's what it does inside your browser: → Parses your entire GitHub repo or ZIP file in seconds → Builds a live interactive knowledge graph with D3.js → Maps every function, class, import, and call relationship → Runs a 4-pass AST pipeline: structure → parsing → imports → call graph → Stores everything in an embedded KuzuDB graph database → Lets you query your codebase in plain English with an AI agent Here's the wildest part: It uses Web Workers to parallelize parsing across threads so a massive monorepo doesn't freeze your tab. The Graph RAG agent traverses real graph relationships using Cypher queries not embeddings, not vector search. Actual graph logic. Ask it things like "What functions call this module?" or "Find all classes that inherit from X" and it traces the answer through the graph. This is the kind of code intelligence tool enterprise teams pay thousands per month for. It runs entirely in your browser. Works with TypeScript, JavaScript, and Python. 100% Open Source. MIT License. Repo: github.com/abhigyanpatwar…
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
@MilkRoad @coinbase @brian_armstrong I'm surprised those numbers aren't higher. In AI-first engineering teams once agents are properly integrated into workflows they compound. 50% of code and 60% of support is impressive but it also sounds like early days for a company that’s serious about AI-native ops.
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Milk Road
Milk Road@MilkRoad·
AI agents at @Coinbase now write over 50% of all code and handle 60% of customer support tickets. @Brian_Armstrong just revealed Coinbase is treating AI agents like actual digital employees. Complete with their own stablecoin wallets. These agents can work overnight, spin up AWS resources, buy domain names, launch marketing campaigns… All without bugging a human for approval. We're still stuck thinking about AI as assistants that need constant supervision. The mental model most people have is "AI helps humans do tasks." That’s no longer the case at Coinbase. Their model is "AI does tasks, humans set guardrails." And they’re using crypto to unlock full agent autonomy. Traditional corporate cards can't be issued to non-human entities - that's a massive infrastructure gap. Stablecoins solve this. When an AI agent needs to make a payment at 3am, it doesn't need to wait for Ian in accounting to wake up. It just sends $USDC. Machine-to-machine payments, 24/7, no bank hours, no card authorization issues. (And no "is this a human?" verification loops.) Brian’s team built x402, the open protocol that lets any agent get a stablecoin wallet and transact on the open internet. This is all very new, but it's already getting serious traction at Coinbase. The practical application here is clear: If you're building anything with AI agents, you need to think about how they'll transact. Credit cards weren't designed for software entities - stablecoins were. The companies that figure out agent-to-agent commerce first will have a massive head start.
Luke Martin@VentureCoinist

Coinbase CEO reveals how ai agents are already helping run the company "We're giving them all stablecoin wallets. If you really want to treat them like digital employees, they need to have a corporate card. But traditional corporate cards can't be issued to non human entities."

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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
It found the pages in Notion, identified the branding, created PDFs and saved to my desktop. Better than I could have done with any of my go-to tools. Wow!
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
"For the AI Essentials course that's coming up, I would like to print the participant handouts. Are you able to help me reformat those in a tool where it will print nice and add some Wellcome AI branding?" Guess whaat?! Done.
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
This is my AI operating system and it's a game changer. @NotionHQ is notoriously bad for printing. So I asked @perplexity_ai Computer to help. omg it did it better than I could have using any tool. Here's how I did it....
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
Friends who have done remote hackathons - participated or organised - what advice can you share?
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
I would like to be able to re-run the analysis more than once a billing cycle though. Weekly would be perfect, especially at this price point
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
Awesome move @Price_Labs ! Love love love your new listing optimizer product. Just took all the actions you recommended. Thank you for this great addition!
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
If your leadership team is preparing for an AI discussion this planning cycle, this might help: 👉 open.substack.com/pub/welllcomea… My DMs are open if you’re navigating this inside your organisation and want to chat.
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
The teams making the most progress are the ones who pause long enough to align on: What are we actually trying to achieve with AI? Once that’s clear, everything downstream accelerates.
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
Boards have shifted from exploring AI to asking far more direct, commercially grounded questions. Most leadership teams still aren’t ready for the depth of the conversation.
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
If you’re in a similar spot, I’d love to hear: What pushed you to start your business?
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
Years working with boards & execs. Formal training in governance & strategy from Yale SoM & Australian Institute of Company Directors. This is the kind of experience needed in rooms making fast, high-stakes AI decisions. Because AI strategy is business strategy.
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Elizabeth Griffiths
Elizabeth Griffiths@ElizabethInAU·
🚀 4th time’s the charm? Why this one feels different. I’m building my 4th company—not out of pure entrepreneurial fire, but because remote Product Leadership roles have dried up. Faced with stepping back or stepping up, I chose to bet on myself.
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