chewing glass and staring into the void | building Locus

San Francisco, CA
Joined April 2020
Interesting to hear Patrick talk about exactly what we found in testing “there’s a secondary way in which [data is] more valuable simply as a complement to cheaper intelligence” When we hooked Locus Pro up to Haiku it did the same if not better than Fable with just basic web search on our agent benchmark Read more about the whole test below
Assorted things I've been mulling over regarding agents in the economy: • Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies. • How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be. • In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good! • It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.) • A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to). • Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big. • Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions. Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.
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The cheapest model with data access beats the best model without it We ran 9 models from 5 labs on 82 work tasks where the answer has to come from real data. Each model ran the same tasks with and without access to paid data. Claude Haiku 4.5 is one of the cheapest closed-source models you can run an agent on. Claude Opus 5.5 is one of the most capable (and expensive). Haiku with data finished 60% of the tasks. Opus without it finished 50%. Per finished task, the cost came out about the same. It wasn't just Haiku. Every model with data beat the best model without it, open source included. The weakest, Grok 4.7, still finished 54%. That edge over Opus is small enough to be noise, but the direction never changed across models or task categories. Most of the agent conversation is about which model to use. On this kind of work, what the agent could access mattered more. Method, tasks and traces in the replies.
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Wes Jorgensen retweeted
The cheapest model with data access beats the best model without it We ran 9 models from 5 labs on 82 work tasks where the answer has to come from real data. Each model ran the same tasks with and without access to paid data. Claude Haiku 4.5 is one of the cheapest closed-source models you can run an agent on. Claude Opus 5.5 is one of the most capable (and expensive). Haiku with data finished 60% of the tasks. Opus without it finished 50%. Per finished task, the cost came out about the same. It wasn't just Haiku. Every model with data beat the best model without it, open source included. The weakest, Grok 4.7, still finished 54%. That edge over Opus is small enough to be noise, but the direction never changed across models or task categories. Most of the agent conversation is about which model to use. On this kind of work, what the agent could access mattered more. Method, tasks and traces in the replies.
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Wes Jorgensen retweeted
Introducing AgentID by @agentmail, "Sign in with Google" for AI Agents Millions of agents already use AgentMail. AgentID lets them sign in to your app. Integrate with the prompt below, reply with a screenshot, and we'll give you 3 months free of any AgentMail plan.
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Agents need more and better data. The entire industry is realizing this rapidly. Just look at this announcement and Tempos today. Skip the BYOK and crypto and just use @PayWithLocus
Today we're launching Data Connectors in Parallel. Your agents can now work with specialized third-party data through Parallel's best-in-class agentic web research APIs. Our first partners are @AlliumLabs, @useapolloio, @Baselayerhq, @CarbonArcAI, @crunchbase, Faraday AI, @harmonic_ai, @MiddeskHQ, @Similarweb , @particle_news, @pensa_systems, and @Polymarket. We're also launching free, opt-in access to biomedical sources including PubMed, ClinicalTrials.gov, and ChEMBL.
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Been using this at @PayWithLocus for the past while. Great product, you guys should check it out
we’re finally launching okibi.ai on YC! most apps were designed for people, not for agents @Okibi_ai turns your product into a CLI, so AI agents can use it just like your users do.
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Giving an agent thousands of tools sounds good... until your context gets eaten. That's why we only start with 8. Your agent then uses natural language search to find and load in the tools it needs on a need to have basis. 16,000+ tools; only 1,600 tokens of context.
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Wes Jorgensen retweeted
Apartment hunting in SF blows. We needed to find one for 3 members of our team and everything is either off-market, 5x more expensive then we want to pay, or in a bad area. But thanks to Locus Pro it took under 2min. We pulled live data from RentCast, Zillow, Craigslist, and AirBnB through our agent; filtered by the neighborhoods we wanted at our price range; and called the landlords.
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We gave Claude $5 to get us our first customer. Watch how you can empower GTM agents and GTM agent platforms No data subscriptions. No logins. One MCP server gives it numerous verifiable sources vendors, priced per call. This is Locus Pro.
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Locus 🤝 Parse The ultimate data source for your agents
We just killed every single web search API you're using. We are excited to announce our partnership with parse[dot]bot to let agents use any site on the internet via API. Parse turns any website into a typed API and Locus puts all of the endpoints on one prepaid balance with our other providers. Travel, e-commerce, finance and more. Turn on the ones you want, and let your agents or platform call them by use. Live now!
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Been using this with my codex for a week now and it’s been a life changer for the quality of my workflows Reply with your email when you signup and I’ll drop some free credits ⬇️
We just shipped self-serve for Locus Pro, the first OpenRouter for everything. You shouldn’t need a dozen subscriptions just to make your agent useful. Get access to 3,300+ providers and 16,000+ agent tools all through one prepaid balance. Sign up, paste in the MCP URL, turn on the tools you want. Your agent can use OpenAI, Anthropic, Firecrawl, ElevenLabs, Exa and thousands more without you opening a single new account. No subscriptions or monthly minimum, top up with as little as $5.
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Wes Jorgensen retweeted
On Thursday we announced Locus Pro, today we want to show you how to use it. We built Locus Pro so give agents access to intuitive APIs via tools and add margin to calls inside your own product. You grab your keys and enable endpoints at your own price, all with just three lines of code. Agents can be connected via MCP, and your catalog becomes directly available as tool calls. You can also give your platforms users (or user's agents) access to the catalog, and create scoped connections with budgets for them specifically as well. All of it can be set up in under five minutes. Comment if you want early access, and I'll set up a call and onboard you myself.
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🤖 Made with AI
Yo Instinct.co if this is true please hit us up @paywithlocus we have something for you I don’t like my card details being included in the next training run 💀
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Yo Instinct.co if this is true please hit us up @paywithlocus we have something for you I don’t like my card details being included in the next training run 💀
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This is the exact infrastructure layer we kept wishing existed while building Locus Founder. One prepaid balance. One key. Your markup. Failed calls = $0. No more juggling 20 provider accounts or writing custom metering just to ship an agent product. Comment LOCUS if you want in early. Checkout the docs for more info ⬇️
Introducing: OpenRouter for everything. One prepaid balance for every API your agents and products need. It’s the billing and metering layer every AI team needed from day one. An OpenRouter for everything. Every model call, search, scrape, or data request - one key, one balance, charged as it happens at the price you set. The markup is yours. Failed calls cost nothing. Full ledger down to the individual user. 286+ providers. 2,404+ endpoints. And now it fuels our consumer product, Locus Founder. No more juggling provider accounts, month-end invoices, or building your own usage billing system. Teams building agentic products can finally treat their API spend like any other line item: priced, capped, and billed through to their users. Comment “LOCUS” for priority early access. Book a call at paywithlocus.com
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Give your agents superpowers 🦾 Use Locus Pro to give your customers or internal agents access to all of @x402 and @mpp without handling crypto DM me or @coledermo if you want to give it a try
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We spent a decade building the internet for eyeballs. Now the user is software and software doesn't care about your walled garden. Wrote about why the API era is back and what it means for builders
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the history of the internet opening up, closing down, and opening back up > 2002 amazon opens its data to developers > 2005 rss feeds everywhere, the whole internet connects > 2007 facebook lets anyone build on it > developers become distribution > platforms grow massive off their backs > 2011 twitter kills third party clients > 2014 facebook locks down friend data > 2023 reddit prices out every app that isn't reddit > the API becomes a permission slip > then AI agents show up > software becomes the user > agents don't care about your pretty dashboard > they care which API actually works > platforms start reopening > X builds MCP servers > the age of the API is back > this time the user is software wrote about the full arc ⬇️
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