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Explainer for what Post Fiat is - why it's valuable - and what we're all about Post Fiat is a new version of XRP. It aims to make a more decentralized and secure version of the core consensus mechanism, and pivot the BD focus to investment banks rather than transaction banks. Rather than a vision of the 'future of finance' or the 'internet of money' - Post Fiat's vision is to enable useful economic collaboration between humans and advanced AI intelligence. But first some background. XRP - unlike proof of work coins like Bitcoin, or proof of stake coins like ETH - uses RPCA to secure itself. That means a foundation, called the XRPL foundation, selects the Unique Node List for XRP. Which is 35 or so validators who determine whether or not transactions are valid and get added to the chain. Unlike other mechanisms - this method is much simpler, and cheaper. In the words of David Schwartz, "The best incentive is no incentive." However - in practice when you look at who the validators are -- most of them have ties to Ripple Labs. Either through explicit donations (University Grants), or business partnerships / promotions. There's a world in which Ripple ends up on the wrong side of the US Government, and the validators (who are doxed) - also get in trouble. Which could impact network security and function. This explains, in large part why XRP skyrocketed after Trump won. It wasn't just that Ripple Labs could do more business. The likelihood of validators getting in trouble got much lower. However - as nice as this is -- there's still risk. And due to LLMs it's now possible to make RPCA much more decentralized. How does this work? Simply put, XRP is a vast unstructured database. And you can run LLMs on top of it to add structure in a way that anyone externally can validate (provided you run the LLMs enough time with the right models). So rather than having a centralized Swiss Foundation that chooses Unique Node List members based on opaque criteria. You have 1] a set of prompts 2] a set of models 3] sampling methodology 4] non LLM based quantitative overlays such as network density 5] non transaction based output -- including the organization behind the validator (i.e. if it's a huge corporation or govt validating -- that's considered higher quality -- which is included in a separate LLM analysis ). That form a sort of social contract for you to answer a simple question "What are the valuable economic nodes on this Network?" For the first time in human history, LLMs allow a concept we call "Trustless judgment". The ability of a large group of people to agree that a set of qualitative judgments have been rendered according to a spec. So in Post Fiat world, we don't determine the UNL with an opaque Swiss foundation which implicitly judges the validator quality by proximity to a centralized entity. We have a technology based social contract that runs monthly and determines "Who are the validators that should secure this network?" And unlike XRP where these validators get no reward, Post Fiat validators receive rewards proportionate to how well they score on this social contract. Which notably, anyone can run and validate. So that's the first part. Post Fiat uses LLMs to decentralize and make a much more transparent version of XRP. And the second part is the business focus. XRP is based on an old school view of cryptocurrency - wherein the idea was that you could replace SWIFT. This lives in something called "The transaction bank" - where trade flows happen. Think HSBC, or Standard Chartered. The problem is that as crypto has matured, the focus of the asset class has very much moved into the Investment Bank. That's why Blackrock is the main player - not HSBC's trade finance group. Private wealth buyers are the main counterparties, not large trade consortiums. We believe that fast finality, text rich blockchain applications are extremely useful for investment banks, hedge funds, and groups of high net worth individuals/ family offices (and yes, retail investors). The way to think about a "Post Fiat Node" - is an AI agent that generates memos, which are scored by the consensus mechanism we described above. But what do these memos contain. There are four basic investment use cases we are targeting from a BD perspective. 1] Expert Networks - it is now possible to use an AI agent to evaluate someone's credibility (think Tegus) as they interact with Post Fiat Nodes. Then for a user to compensate an AI agent to find them the right person to answer an investment question that gives them edge. And compensate them in a native cryptocurrency (PFT) 2] Compliance Memos and Automation - the first thing you probably thought of with pseudonymous expert networks is "this is a compliance disaster". However - it's the opposite. Post Fiat's development arm has created an ontology for nodes to effectively run an immutable compliance process on top of trade idea generation - which is basically a public facing regulatory memo with a private qualitative analysis slug. Unlike Bloomberg which frequently co-operates in an opaque way with various counterparties - keeping compliance logs on Post Fiat ensures the bank/ fund has total control over the underlying data but also can prove, categorically that they have not deleted anything to comply with standards. 3] AI Agent Trading Applications. Once you have robust compliance memos and investment intelligence frameworks -- you now have the basis for an institutional grade AI trading agent. Without these two things - it doesn't matter how good your MCP is, or your fine tunes are. You are architecturally not equipped to win in a sustainable manner. Post Fiat's BD Arm (AGTI) is actively deploying AI trading agents at large financial institutions. These agents can interact with the full network, ensure compliance and also reach out to other agents to compound capital effectively and make better investment decisions. They will also be tasked with managing Post Fiat's treasury to ensure alignment with stakeholders. 4] Indexing. The indexing industry is much larger than the world of crypto imagines. MSCI and S&P Global alone have a $200 billion market cap - just as an example. Post Fiat introduces total return indices normalized across all asset classes (crypto, FX, equities, commodities) - to make simple delightful, time zone aligned, and carry adjusted baskets. That anyone can create without paying excessive royalties to a centralized actor. These naturally dovetail with AI agent applications and allow for compliant backtests, and fund marketing operations which previously were onerous manual jobs So zooming back out -- Post Fiat uses XRP's core network security model. It improves it. And rather than trying to kill SWIFT and work with the transaction bank -- Post Fiat goes to where we think the industry is headed. The investment bank And -- being part of this network allows you to get in on the ground floor of a trend that is very unlikely to reverse. Namely - the integration of AI agents with financial markets. Zooming out all the way - the exciting future we're building is one in which the reward structure of Post Fiat itself is a Darwinian competition for financial intelligence to emerge on chain. We believe that our real long term product market fit is making the best possible mousetrap for a financial super intelligence to emerge and use Post Fiat as a native currency. But rather than drinking the koolaid, and dreaming -- we're boots on the ground grinding to make sure that the legal, technical and financial minutiae are in place to make this vision a reality. Welcome to Post Fiat