@Basilakis

Ideas Architect, Product Manager & Marketing Growth Advisor. I work on SAAS, Products, Commerce & WordPress. Analyst for Investment Opportunities.

Thessaloniki, Greece
Joined May 2008
Basilis Kanonidis retweeted
Great read from Patrick, as always. “Personal agents will, I think, act as a kind of structural subsidy for product quality.” Yes, and well put.
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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Basilis Kanonidis retweeted
Replacing LLM calls with deterministic code is a no brainer and also results in better code that better matches what users want
We built a new harness using @typesafeai's Jev that cuts the cost of repetitive work by 90%. The harness learns the job as it runs, moving steps from LLM calls to code. Running 100,000 compliance alerts costs >$290K on Opus 5. With agentrun() we got it down to <$26K.
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Basilis Kanonidis retweeted
I wanted to remap the mouse buttons, so I asked Opus 5.5 to build me a macOS app. One prompt. 5 minutes. What a great time to be alive.
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Systems should be on a process of " Auto-fixing " nowdays. I created a Greek Post writting module for the #opensource tool I am working. Connect Search Console, Google Analytics, DataforSEO API. It created a post, while posted it, figured mistakes. It sent the feedback back.
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Stop been hesitant about technology, understand how to attach it to your worflows, if you want to win.
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The development agent took it, and fixed the way the post is generated. Then build a new post. Same loop in place. After 10 posts, the new ones not only are almost perfect, but they ranked in Google in less than a day, in a new domain.
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Basilis Kanonidis retweeted
Cloudflare is a design partner for Personal Agent Protocol (Poppy) — and the best part? It's built on standards you already use: OAuth, MCP, OpenAPI.
On Tuesday, Sierra announced Personal Agent Protocol with Meta, Genesys, Instinct, Rocket, Shopify, Stripe, and Walmart. The response has been incredible and today we’re publishing the first draft of the protocol at personalagentprotocol.org and announcing 35 new design partners. As personal agents take on more, our goal is simple: consumers have choice and control, and companies know when they’re dealing with an agent and who it represents. This draft is a starting point. We’d love for companies, developers, and personal agent builders to read it, give feedback, and help us build an open standard together.
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Basilis Kanonidis retweeted
Replying to @stemonteduro
I think you have a novelty problem. Your main product dailygram.me is a vitamin with a free plan targeting indie hackers. Instead: - Painkillers only - No free plan, and charge high $$$ - Target outside of indie hackers; go B2B If I may be direct, I'd kill that product today. You've been at it for more than 1 year, and it makes $145/mo (based on your TrustMRR page). I respect the hustle, but to me it's a clear sign the market isn't answering. Now I've looked at your other dozen projects and noticed something: Most of them could be vibe-coded in 24 hours. If I can be even more direct, I'd completely change the strategy. When @levelsio moved to Bali in 2017, it was WTF. That got him covered in mainstream media. Now it's normal to be a nomad. When I launched 1 startup every month in 2022, it was WTF. That got me my first 10K followers. Now AI has normalized shipping fast. In 2026, the winners won't be people shipping fast from Bangkok. It will be people living outside the box. People building software we've never seen before. AI made you a superhuman. You can connect your fitness tracker with your calendar and your light bulbs and see what makes you tired or energized. You can build a multiplayer game to make people go do stuff IRL like exercising or pushing code to gain XP. You can find a cancer cure for your cat. The possibilities are endless. Build stuff that nobody has seen before. Ride novelty. It worked pre-AI and will work post-AGI. I root for you, sir.
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Basilis Kanonidis retweeted
Thrilled to welcome @spacexai as a Founding Corporate Patron for the Omacom Foundation. That's $1,500,000 in @grok tokens for the maintenance and development of Omarchy. Maybe soon they'll be beamed straight from orbit? Let's go 🚀🌕 omarchy.org/news/2026/10/spa…
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Basilis Kanonidis retweeted
At this rate AI will get us GTA 7 before GTA 6
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Basilis Kanonidis retweeted
Today we’re announcing Personal Agent Protocol — an open standard @Meta and @SierraPlatform are developing along with industry partners at @Genesys, @instinct, @RocketOTD, @Shopify, @stripe, and @Walmart. It will help define how personal agents interact with businesses and is open for anyone to implement. You can read more here - and if anyone is interested in joining let me know! sierra.ai/blog/introducing-p…
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Basilis Kanonidis retweeted
Important note regarding Grok @Bot: Going forward, @SpaceX will use the best back end model for any given task, including Claude Opus 5.5, MidJourney, Suno and other leading APIs. Whatever is most likely to give you the best outcome.
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Basilis Kanonidis retweeted
Apple says you need a Mac to build iPhone apps. Today I built one on Omarchy Linux, submitted it to the App Store, installed it on my iPhone over USB, and stopped it at a breakpoint in the debugger. No Mac anywhere. It's all open source: github.com/joshuaswarren/oma…
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Basilis Kanonidis retweeted
Introducing: Personal Agent Protocol (PAP)—an open standard for how personal agents interact with businesses. @stripe is joining Meta, Sierra, Genesys, Instinct, Rocket, Shopify, and Walmart as founding members to design how the many agentic parties will play nicely together.
Today we’re announcing Personal Agent Protocol — an open standard @Meta and @SierraPlatform are developing along with industry partners at @Genesys, @instinct, @RocketOTD, @Shopify, @stripe, and @Walmart. It will help define how personal agents interact with businesses and is open for anyone to implement. Read more: sierra.ai/blog/introducing-p…
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Basilis Kanonidis retweeted
DHH is fundamentally right about Rust. For context, Vercel has been undergoing a Rust-ification (carcinization, technically 🦀) for a while. One of the first projects we migrated was Turborepo, from Go to Rust¹. The migration completed, but the RoI was actually quite controversial internally. While Rust was in our eyes better for low-level OS access, something crucial for a build system like Turbo, the human migration costs were very sustantive. Go is very fast. It's beautifully designed. It's easy to iterate on. We were very conflicted about the migration, because it was *humans* writing the code, *even if we knew Rust was a better choice*. The calculus has now changed. What's "best for humans" is no longer necessarily "best for business". FWIW, it's also quite unlikely that Rust is the end-all-be-all toolchain. I'm quite certain there's greener pasture ahead, because Rust itself was designed before the 'supersonic tsunami' of agents hit. ¹ https​://vercel.com/blog/how-turborepo-is-porting-from-go-to-rust
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Basilis Kanonidis retweeted
Security will become a larger and larger function in software companies. Security is verification engineering (eg: “my code is probably memory-safe”), as well as capital allocation (“what surface should I throw most tokens at?”) For startups, it’s a challenge and opportunity. As the world’s paranoia grows given ever-more-sophisticated AI adversaries, how can you trust a 2-person-and-a-dog company? But conversely, given the dire state of global cybersecurity and increasing reliance on centralization, as always, there’re vast areas that small teams can now disrupt that I’m excited to invest in.
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Basilis Kanonidis retweeted
We are now entering into an era where any product can be created exactly to a consumer's preferences & needs. I vibe-fabricated a dog door with a wifi-controlled lock, perfectly to the specifications & design of my house. I know nothing about metal fabrication or electrical engineering. It's now getting manufactured and delivered in 2 weeks -- for almost the same cost if I bought a mass-produced item off-the-shelf.
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Cloudflare just dropped Open-sourced Clef model a Jev alternative & beat Typesafe AI’s Jev System One model. Jev made typed, calibrated decisions (choice/score/ noul) without generating text. Cloudflare’s Clef does the same interface, runs multimodal, and posts lower median latency in their tests (flash 39 ms). - Vision-capable, Jev-API compatible, - currently leading the decision-model index. - a 9B flash variant, and sit on Workers AI model. Larger context, image input, and an RL fine-tuning path Cloudflare is opening next. Useful if you route tickets, invoices, or tool calls all day.
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Basilis Kanonidis retweeted
Cloudflare is working on K2, a durable event-stream primitive. It's a named, append-style log of "records" you produce to and consume from, with a configurable retention window, writable from a Worker binding or over HTTP. Basically Cloudflare Kafka.
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