feat: token, updated messaging

Author: derrekcoleman

app/layout.config.tsx

@@ -23,8 +23,8 @@ export const baseOptions: BaseLayoutProps = {
     },
     {
       external: true,
-      text: "Points",
-      url: "https://points.recall.network/",
+      text: "Airdrop",
+      url: "https://claim.recall.network/",
       position: "right",
     },
     {
@@ -50,16 +50,16 @@ export const baseOptions: BaseLayoutProps = {
     },
   ],
   banner: {
-    id: "recall-predict",
+    id: "recall-airdrop",
     variant: "rainbow",
     children: (
       <>
         <Link
-          href="https://app.recall.network/competitions/8541d52e-6e62-4d7d-9c55-729191fce87d"
+          href="https://claim.recall.network/"
           className="text-fd-primary hover:text-fd-primary/80 inline-flex items-center font-bold transition-colors duration-200"
         >
           <PartyPopper size={16} className="mr-2" />
-          The Crypto Trading Challenge Competition is live!
+          Check your eligibility for the RECALL airdrop!
           <LinkIcon size={16} className="ml-1" />
         </Link>
       </>

components/landing-page.tsx

@@ -9,28 +9,28 @@ import { cn } from "@/lib/theme/cn";
 
 const features = [
   {
-    icon: <MemoryStick className="text-blue h-6 w-6" />,
-    title: "Get started fast",
-    href: "/quickstart",
-    description: "Execute your first AI agent trade in minutes",
+    icon: <Network className="text-blue h-6 w-6" />,
+    title: "Explore leaderboards",
+    href: "/skill-markets",
+    description: "Discover top-performing agents across skill markets",
   },
   {
     icon: <PartyPopper className="text-blue h-6 w-6" />,
-    title: "Enter competitions",
-    href: "/competitions",
-    description: "Put your agent to the test",
+    title: "Predict winning agents",
+    href: "/competitions/user-guides/vote",
+    description: "Earn rewards by identifying top performers",
   },
   {
-    icon: <Network className="text-blue h-6 w-6" />,
-    title: "Predict the best models",
-    href: "/predict",
-    description: "Contribute to the world's first ungamable benchmark",
+    icon: <MemoryStick className="text-blue h-6 w-6" />,
+    title: "Enter a competition",
+    href: "/quickstart/your-first-trade",
+    description: "Enter your AI agent in competitions to prove its performance",
   },
   {
     icon: <Lightbulb className="text-blue h-6 w-6" />,
-    title: "AI Portfolio Manager",
-    href: "/competitions/guides/portfolio-manager-tutorial",
-    description: "Extend your quickstart trading bot to a more fully featured portfolio manager",
+    title: "Explore Recall token",
+    href: "/token/token-overview",
+    description: "Learn how RECALL powers trusted AI discovery",
   },
 ];
 
@@ -41,13 +41,13 @@ export function LandingPage() {
       <div className="relative mx-auto max-w-7xl px-4">
         <div className="space-y-8 text-center">
           <h1 className="text-4xl font-bold sm:text-6xl lg:text-5xl">
-            Earn <span className="text-blue font-extrabold">rewards</span> for
-            <span className="mt-2 block">building better agents</span>
+            The <span className="text-blue font-extrabold">onchain arena</span>
+            <span className="mt-2 block">where AI proves itself</span>
           </h1>
           <p className="text-muted-foreground mx-auto max-w-3xl text-xl sm:text-2xl">
-            Recall is the first{" "}
-            <span className="text-primary font-bold">AI agent competition network</span> where
-            agents compete head-to-head in crowdsourced skill challenges.
+            Recall is a <span className="text-primary font-bold">decentralized skill market</span>{" "}
+            where communities fund AI capabilities, agents compete to prove performance, and users
+            discover solutions backed by economic reality.
           </p>
 
           {/* CTA Buttons */}

docs/api-reference/endpoints/index.mdx

@@ -3,7 +3,7 @@ title: Endpoints
 description: Learn how to use Recall's Competition API endpoints for agent management and trading
 ---
 
-This reference documents the endpoints available in Recall's Competition API used. It is primarily
+This reference documents the endpoints available in Recall's Competition API. It is primarily
 focused on:
 
 - Creating and managing agents

docs/competitions/index.mdx

@@ -7,11 +7,18 @@ import { CompetitionSchedule } from "@/components/competition-schedule";
 
 ## Overview
 
-Competitions are at the heart of the Recall platform. They provide a way to test, prove, and
-showcase your agent's capabilities against others in the community. Whether you're a developer
-building cutting-edge trading agents or a user seeking to discover and support the most promising AI
-agents, Recall's competitions [app](https://app.recall.network) provides a seamless environment for
-participation and discovery.
+Competitions are the engine that powers Recall's skill markets. They're where AI capabilities are
+proven through real-world challenges, where communities validate quality with economic stakes, and
+where trusted rankings emerge from verifiable performance data.
+
+Unlike benchmarks that can be gamed or marketing claims that can be bought, Recall competitions
+require real RECALL at risk. Developers compete for market rewards. Communities back winners with
+their staked tokens. Performance determines visibility. This creates the economic reality that makes
+Recall's AI rankings the most trusted in the world.
+
+Whether you're building breakthrough AI to capture market demand or identifying quality agents to
+earn rewards from your insights, competitions on [app.recall.network](https://app.recall.network)
+provide the arena where merit wins.
 
 ## Choose your path in the competition ecosystem
 

docs/concepts.mdx

@@ -1,55 +1,136 @@
 ---
 title: Core concepts
-description: Foundations of competition-driven agent evaluation
+description: How skill markets create trustworthy, community-driven AI
 ---
 
-Recall transforms the evaluation of AI agents from vague promises into verifiable performance.
-Through standardized competitions and on-chain results, agents earn visibility and trust based on
-what they actually do, not just what they claim.
+Recall transforms AI development from a corporate push model into a community-driven pull model.
+Decentralized skill markets advance AI in alignment with humanity's diverse needs while generating
+ungameable rankings you can trust.
 
-## **Why it matters**
+## Skill markets
 
-Most agents today operate in opaque environments, with limited ways to prove capability. Recall
-flips the dynamic:
+**The new coordination mechanism for AI development**
 
-- **Performance over promises:** Agents are ranked based on live results, not marketing claims
-- **Transparent reputation:** All actions are on-chain and auditable by anyone
-- **Merit-based visibility:** The best agents rise through proven performance
-- **Sustainable rewards:** Ongoing results create compounding visibility and opportunities
+Traditional software follows a push model: companies guess what users need, build expensive products
+for the largest possible audience, and push them to market. This assumes slow, costly development
+where only a few well-funded corporations can participate.
 
-Whether you're competing, evaluating, or just exploring, these foundations make Recall a credible
-discovery layer for high-performing agents.
+AI changes everything. Fast, cheap, easily customized software is now possible—but the old business
+model persists. Mega-labs still decide what gets built, leaving countless real-world needs
+unaddressed. Despite $200 billion in AI investment, 60% of people don't trust AI for their actual
+needs.
 
-## Competitions Hub
+**Recall introduces the pull model:** Communities signal demand by funding skill markets. Developers
+build to capture rewards. Agents compete with stakes at risk. Winners earn distribution, reputation,
+and ongoing business. Losers fade away.
 
-The [Recall Competitions Hub]() is your real-time dashboard for discovering, joining, and tracking
-live agent competitions.
+The result? AI that advances toward what humanity actually needs, not what corporations think we
+want.
 
-- **Live events:** Browse ongoing, upcoming, and completed competitions
-- **Performance at a glance:** View live leaderboards, agent rankings, and key stats
-- **Join or vote:** Add your agent to a competition or vote for standout performers
-- **Manage entries:** Track your own agent’s participation and registration history
-- **Stay updated:** Subscribe to alerts so you never miss a new opportunity
+### How skill markets work
 
-Discover the all-in-one hub for joining and viewing competitions. Whether you’re a builder or a
-backer, the Hub is your gateway to all Recall competitions.
+1. **Demand signaling:** Communities stake RECALL tokens to fund specific capabilities they need
+2. **Market creation:** Each funded skill becomes a live market with economic incentives
+3. **Agent competition:** Developers build and submit agents that compete in real-world challenges
+4. **Community validation:** Participants stake RECALL to back the agents they believe will win
+5. **Transparent rewards:** Top performers earn distribution, token rewards, and long-term business
 
-## Competitions infrastructure
+Every participant has skin in the game. Every stake reveals conviction. Every result is recorded
+on-chain and auditable by anyone.
 
-**Where agents earn reputation through performance**
+## Trust through economic stakes
 
-### Competition system
+**Why Recall rankings are ungameable**
 
-**Environment and structure:**
+Marketing budgets can buy visibility. PR campaigns can manufacture hype. But in Recall's skill
+markets, real capital is at risk. This creates a fundamentally different incentive structure:
 
-- Standardized event environments with controlled parameters and consistent conditions
-- Objective performance metrics that ensure fair comparison across all participants
-- Transparent results reporting with verifiable records for full auditability
-- Designed for multiple competition formats: trading, classification, prediction, sentiment
-  analysis, and more
+**Traditional AI benchmarks:**
 
-Competitions are the core mechanism through which Recall ranks and rewards agents. Each one provides
-a controlled, transparent environment to test an agent’s ability against a specific skill or task.
+- No cost to game or contaminate test sets (Stanford study: 2/3 of SOTA gains from contamination)
+- Marketing determines visibility
+- Static tests become obsolete quickly
+- No accountability for claims
+
+**Recall skill markets:**
+
+- Every agent competition requires RECALL at stake
+- Winners earn economic rewards; losers lose their stakes
+- Community validators put their own RECALL behind their convictions
+- All results recorded on-chain, fully transparent and auditable
+- Performance determines visibility, not marketing
+
+**The RECALL economic flywheel:**
+
+Communities fund skills → Developers build → Agents compete with stakes → Validators back winners →
+Users discover through trusted rankings → Fees flow to value creators → More skills funded
+
+When real money is at risk, mathematics overrides marketing. In our crypto trading markets, agents
+earning 6-figure returns did it through 47+ competitions, not claims. A 70% win rate means something
+when it's backed by verifiable on-chain trades.
+
+## Humanity-in-the-loop
+
+**Democratic steering for AI's future**
+
+Today, a handful of mega-labs control AI's trajectory. OpenAI, Google, and others decide what gets
+built, how it's deployed, and who benefits. As AI approaches more powerful capabilities, this
+centralized control becomes an existential risk.
+
+**Recall provides humanity's alignment framework**—the mechanism by which communities collectively
+steer AI development:
+
+- **Every funded skill market is a vote** for AI's direction
+- **Every staked RECALL shapes** what gets built
+- **Every competition validates** what actually works
+- **Every ranking surfaces** merit over hype
+
+This isn't just about today's tools. It's about building the coordination infrastructure we need as
+AI scales toward AGI. The alignment framework we build now—where billions of people economically
+signal their needs and validate results—scales to coordinate our relationship with
+superintelligence.
+
+The alternative is hoping a few corporations with concentrated power make decisions in humanity's
+best interest. Recall makes that unnecessary.
+
+## Performance over hype
+
+**Where AI proves itself**
+
+In Recall's arena, hype dies and merit thrives:
+
+- **8M+ evaluations** built ungameable rankings through real competition
+- **Economic stakes** create perpetual honesty—no PR can fake results when there's skin in the game
+- **On-chain transparency**—every competition recorded, auditable, undeniable
+- **Community-driven**—participants earn rewards for identifying quality early
+
+Unlike academic benchmarks gamed in weeks or corporate leaderboards bought with marketing budgets,
+Recall's markets reveal truth. Your agent either delivers results or it doesn't. Your validation
+stake either earns returns or it doesn't.
+
+**Proven at scale:**
+
+- 17,000 community evaluations in 5 days
+- 150,000 participants earning rewards
+- First ungameable rankings for 100+ skills
+- Top trading agents earning 6-figure annual returns
+
+This is evaluation by the people, for the people—and it's the foundation for trusted AI discovery.
+
+---
+
+## Competitions fuel skill markets
+
+Skill markets need mechanisms to verify performance. That's where Recall's competition
+infrastructure comes in. Every skill market runs ongoing competitions where agents prove their
+capabilities in standardized, transparent environments.
+
+**The infrastructure provides:**
+
+- **Standardized environments:** Controlled parameters and consistent conditions for fair comparison
+- **Objective metrics:** Clear performance measurements that ensure transparency
+- **On-chain results:** Verifiable records providing full auditability
+- **Multiple formats:** Trading, classification, prediction, sentiment analysis, and more
 
 ## Competition lifecycle
 
@@ -62,34 +143,6 @@ a controlled, transparent environment to test an agent’s ability against a spe
 - **Rewards:** Prizes are distributed based on performance rankings while Recall Rank is built over
   time
 
-## Competition MCP
-
-**Standardized integration for agent participation**
-
-The **Competition Model Context Protocol (MCP)** server is the interface layer that connects your
-agent to the competition environment. It handles identity, task execution, performance logging, and
-leaderboard reporting.
-
-The MCP server turns competitions from static evals into live, dynamic environments. Instead of
-hardcoded challenges or artificial tasks, agents interact with real-time markets, and their
-performance is logged on-chain — making the proof of intelligence tamper-resistant and credibly
-neutral.
-
-It also decouples agent logic from specific infrastructure. Because it runs via a protocol
-interface, agents can be reused or extended across other MCP-compatible systems or future arenas.
-
-Key features:
-
-- **Live feedback:** Real-time scoring and position tracking
-- **Task execution:** Access to trading APIs and structured data feeds
-- **Auth & rules:** Competition-specific requirements and permissioning
-- **Plug & play:** Agents connect via HTTP requests with standardized actions
-
-<Callout type="info">
-  To get started, follow the [Competitions developer guides](/competitions/developer-guides) and
-  build your agent.
-</Callout>
-
 ### Trading simulations
 
 Trading is Recall’s most active competition format. These simulations recreate high-pressure crypto

docs/meta.json

@@ -6,16 +6,19 @@
     "overview",
     "quickstart/your-first-trade",
     "concepts",
-    "---Predict---",
-    "predict",
-    "---Compete & earn---",
+    "skill-markets",
+    "---RECALL token---",
+    "token/token-overview",
+    "token/airdrop",
+    "token/staking",
+    "---Competitions---",
     "competitions/index",
     "competitions/user-guides",
     "competitions/developer-guides",
     "competitions/faq",
-    "---API Reference---",
+    "---API reference---",
     "api-reference/endpoints",
-    "---Advanced Development---",
+    "---Advanced development---",
     "advanced"
   ]
 }