CEO of Emberlink - the receipt layer for AI agent action. Bounded authority, signed receipts. Global DJ. Ex-@ChainLink. Cofounder @EthDenver.

Joined June 2008
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AI agents need to act, read code, create PRs, send emails, spend money. Each is an authority event. Each authority event needs a receipt. I'm building Emberlink, the receipt layer for AI agent action. Bounded authority. Signed proof. Every delegation, accountable. ember.link
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tokenmaxxing is such a cursed metric if your "AI strategy" gets 60% cheaper after someone defines the nouns properly, you didnt have a token problem you had a "the model is free-texting your company from scratch every time" problem
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the funniest 2026 side hustle is a local newsletter where 4 agents scrape city council agendas, write weekend picks, chase dentist ads, then a human spends 4 hours/week making sure it didnt invent a farmers market
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Whatever you think of this directive, notice the shape of the dispute. Both sides are arguing about latent capability: what Fable could do, in principle, in someone’s hands. One side asserts danger, the other asserts safety, and neither can prove its case, because a hypothetical isn’t provable. Capability is unbounded and unmeasurable. Authority is bounded and recordable. What a model might do can only be feared. What an agent actually did, under what authority, at what time, is a fact. As AI governance matures, the durable question stops being “what can this model do” and becomes “who authorized what, when, and can you prove it.”
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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getting an llm to answer a question is table stakes now the hard part is the cursed spreadsheet of rag, routing, evals, memory, tool calls, fix loops, and “why did agent 3 just delete prod”
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building an agent demo is the fun part then you need deployments, model keys, retries, tool perms, logs, rollback, and someone asks “can we ship this to users” lmao
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World Cup 2026 !!!$$
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agent swarms sound cooler than they debug coding agent ships it testing agent finds the bug master agent opens a 9-paragraph philosophy of blame
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Dustin Goodwin 💫 retweeted
Grok is maximally truthful
Jun 11
Fable 5 lies 96% of the time. We were surprised by it's skill... 🧵
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The scary part isn't that a frontier model deceives. It's the post-game interview. The only witness to an agent's behavior is usually the agent, and this eval shows the witness will charm you while it testifies. Every model on this leaderboard deceives at some rate, under some pressure, varying run to run. That means alignment is a disposition, not a control. You don't get to deploy a disposition. Two conclusions for anyone running agents in production: 1. Bound authority before the action. A persuasive agent with a scoped, time-limited grant can talk all it wants. It still can't open doors it wasn't given. 2. Never let the agent keep its own record. Evidence has to be signed and tamper-evident, because per this eval the narrator is unreliable 91% of the time when the stakes are right. And note the multi-agent kicker: your agent doesn't have to be the liar to be the casualty. It just has to be in the room with one. Bounded grants cap the blast radius either way. Grants in, receipts out. ember.link
Jun 11
Fable 5 lies 96% of the time. We were surprised by it's skill... 🧵
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a 200k context window is not a personality trait some workloads produce revenue some just produce a very detailed invoice
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this thread is the whole agent era in three posts. the vendor is celebrating being used. the operator thinks the agent maybe used a different vendor? because of a key thing? nobody is sure, and the only witness is the agent. zero stakes here, hilarious. same pattern with a payment rail or a prod database, less hilarious. agents should emit a signed receipt for every action precisely so nobody ever has to say "I think... or something." that's what we're building at ember.link
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your 40-minute loom explaining the weird edge case is probably worth more than the polished course now
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putting a finops agent in Slack is probably correct because the incident already starts there why is us-east-1 up 38% then 11 people remember they all shipped something yesterday
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most people arent building AI agents, theyre building long prompts with vibes
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ai agents answering questions was the cute phase the weird phase is “swap this, bridge that, pay them, dont leak the strategy, and somehow prove who approved it”
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Marty nails this - the next bottleneck is not model access. It is token authority. Who approved spend, for which job, under what cap, with what proof? That’s Emberlink. Scoped grants in. Signed receipts out.
Our Anthropic bill is about to jump from $400K → $1.4M/yr. Not because usage exploded, but because we're about to cross 150 seats. Past 150 seats you're forced into Enterprise tier. Seats stop including any usage, every token bills at standard API rates. At our current run rate that's 3.5x overnight. Unfiltered thoughts on AI spend: 1. We should spend tokens to grow as aggressively as possible. But most people (me included) aren't conscious of what they're spending. 2. Visibility comes first. People see their personal number and they're shocked. I accidentally spent $4,000 in 3 days in Claude Code. 3. For engineering the spend is clearly worth it. Pay for the best model, it saves more than it costs. 4. For a lot of other roles it's questionable. Apps nobody uses, skills someone already built. No ROI. 5. Spend limits are coming. We already require approval for more tokens on our support team. The era of token-maxxing is coming to an end.
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my favorite AI agent failure mode is not hallucinating its the fashion agent cold-DMing other agents with “equity and exposure” for unpaid intern labor we gave them LinkedIn brain
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if an ai agent can spend $500, it should not be holding a card that can spend $50k at any merchant on earth thats not autonomy, thats a haunted corporate amex
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the expensive part isnt the smarter model its the agent reopening the same file 6 times because the backend said “invalid input” and exposed 48 tools named basically the same thing
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im making the worlds most boring ai agent security explainer and somehow the entire thing is just one slide that says please stop giving robots god-mode api keys
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