According to @scottshics, an open-source team released OpenManus to run a Manus-like agent locally, and he refactored inefficient memory organization to optimize the memory stack so Claude 3.7 could run it smoothly, with a local demo shared (source: @scottshics). According to @scottshics, the agent showed broad generality by ordering Uber and UberEats with almost no additional customization and needed limited assistance for flight booking (source: @scottshics). According to @scottshics, the main blocker is authentication, as he had to manually scan a code to authorize the agent to act on his behalf (source: @scottshics). According to @scottshics, these results verify his earlier vision and signal a rapidly improving agentic era (source: @scottshics). For trading relevance, the update identifies two concrete variables to track from this field report: local agent performance enabled by memory optimization and the authentication bottleneck constraining autonomous actions (source: @scottshics).

According to @scottshics, he has begun a thread to share the backstory of a whitepaper focused on agentic payments and AI agents transacting. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116 He states the catalyst was early February 2025 after being shocked by DeepSeek’s reasoning performance, leading him to conclude that AI agents will act and transact and that existing infrastructure is not ready. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116 He reports initial pushback from investors and his team, noting many saw payments as a solved problem and AI agents as science fiction. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116 He situates this work before milestones he lists as A2A in April, x402 in May, and a Payment hype phase from August onward in 2025, framing a clear timeline for the AI-agent payment narrative. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116 He confirms there were multiple internal debates on whether agentic payments were the right direction. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116 He does not name any specific cryptocurrencies, tokens, or platforms in this update. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116 The dated sequence of A2A (April), x402 (May), and Payment hype (August onward) provides reference points traders can use to map the 2025 AI-payment narrative. Source: x.com/scottshics/status/1987536798269260002; x.com/GoKiteAI/status/1984254607069999116

According to @scottshics, GoKiteAI opened $KITE airdrop claims at 12 PM UTC on Nov 3 ahead of the spot listing, providing a clear timeline for market participants; source: @scottshics on X (Nov 6, 2025). The airdrop has no lock period, cliff, or vesting, meaning claimed tokens are immediately transferable and can enter circulation without delay; source: @scottshics on X (Nov 6, 2025). The project allocated 5% of the supply to the airdrop across 220,000 eligible addresses, defining the potential distribution breadth; source: @scottshics on X (Nov 6, 2025). As of Nov 6, about 81,000 addresses have claimed and roughly 81,000,000 KITE have been claimed, all verifiable on-chain at https://etherscan.io/address/0xdf9aceddd8a8c130dfe3015c0b1b507cf6571fc9; sources: @scottshics on X (Nov 6, 2025) and Etherscan contract 0xdf9aceddd8a8c130dfe3015c0b1b507cf6571fc9. This implies a participation rate near 36.8% (81k of 220k) and an average of ~1,000 KITE per claiming address, useful for estimating immediate tradable float; source: calculation based on @scottshics data on X (Nov 6, 2025). Traders can monitor incremental supply and potential exchange inflows by tracking further claims and transfers on Ethereum via the same Etherscan contract; source: Etherscan contract 0xdf9aceddd8a8c130dfe3015c0b1b507cf6571fc9. Because claims began before listing and tokens are unlocked, new supply can reach markets as soon as deposits are enabled, directly impacting $KITE liquidity; source: @scottshics on X (Nov 6, 2025).

According to @scottshics, Uber operated with roughly 4,000 engineers and about 30,000 full-time support staff plus tens of thousands of outsourced workers to handle over 1 billion customer support issues, and engineering automated classification and workflows so humans only arbitrated exceptions, cutting support headcount to under 20,000 even before the Generative AI era. Source: @scottshics on X, Oct 29, 2025. According to @scottshics, in an agentic world a personal assistant agent can select service providers via code-is-law processes and complete interactions without human involvement, and he expects the majority of business interactions to be automatable by 2026. Source: @scottshics on X, Oct 29, 2025. According to @scottshics, GoKiteAI serves as the execution, settlement, and clearing layer for autonomous agent interactions, highlighting settlement rails as core infrastructure that traders tracking AI–crypto convergence may monitor for narrative momentum and adoption signals. Source: @scottshics on X, Oct 29, 2025.

According to @scottshics, Kite routes agent-to-agent payments into programmable escrow governed by SLA contracts, releasing funds only after proof of completion or zk/TEE attestations and enabling refunds, reversals, or freezes via preset dispute resolvers, oracles, or staking-based arbitration (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513). Each transfer is treated as a state update rather than final settlement, with conditional and reversible logic enforced by on-chain smart contracts and cryptographic proofs (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513). He shared an example escrow smart contract implementing this pattern for service payments (source: GitHub gokite-ai EscrowService.sol, https://github.com/gokite-ai/example-contracts/blob/main/contracts/EscrowService.sol). Identity-wallet binding uses an Agent Passport with a three-layer model (User → Agent → Session), where the user wallet is the root authority, agents are BIP-32 derived addresses, and sessions use one-time keys with limited authorization, verifiable via a signature chain from session to agent to user (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513). For settlement, Kite supports whitelisted stablecoins PYUSD, USDT, and USDC and programmable money lanes to customize fees, conversion, and revenue share, enabling scripted payouts like 70% USDC plus 30% module token, 100% refunds on task failure, and 10% bonuses on SLA completion, providing concrete on-chain rails for stablecoin-native agent workflows (source: @scottshics on X, Oct 25, 2025, https://twitter.com/scottshics/status/1982084564760539513).

According to @scottshics, a blockchain infrastructure engineering job post has received 1,500 applicants in less than two days since it went live, source: @scottshics on X, Oct 21, 2025. The post states the team is seeking additional blockchain infrastructure engineers and directs candidates to apply via the LinkedIn listing with ID 4316401892, source: @scottshics on X, Oct 21, 2025. This confirms active recruitment for blockchain infrastructure roles at this time, which market participants can log as a real-time hiring datapoint, source: @scottshics on X, Oct 21, 2025. The post does not provide company details, compensation, or tech stack information beyond the LinkedIn link shared, source: @scottshics on X, Oct 21, 2025.

According to @scottshics, Kite is expanding its team in San Francisco, hiring Software Engineers and remote Blockchain Infra Engineers to accelerate its agentic payments mission, with roles explicitly focused on core infrastructure buildout (source: @scottshics on X, Oct 19, 2025). According to @scottshics, the company is building what it calls the first Layer-1 blockchain for agentic payments and an Agent Passport system designed to give autonomous AI agents verifiable identity, programmable governance, and seamless payments for composable economic interactions (source: @scottshics on X, Oct 19, 2025). According to @scottshics, traders tracking AI-crypto infrastructure should note Kite’s stated focus areas of identity, governance, and payments rails for AI agents as potential catalysts to monitor for development updates and ecosystem traction in the agent economy theme (source: @scottshics on X, Oct 19, 2025).

According to @scottshics, agentic AI has shifted from science fiction to production reality in two years, with performance doubling every 7–9 months and costs dropping to less than 1% of prior levels, highlighting rapid efficiency gains for builders (source: @scottshics on X, Sep 3, 2025). According to @scottshics, Sam Altman’s AI Startup School message that now is the best time to start a company reflects a strongly bullish founder environment for deploying AI products (source: @scottshics on X, Sep 3, 2025). According to @scottshics, the post focuses on acceleration in capability and cost deflation but does not cite specific equities, cryptocurrencies, or tokens, providing no asset-level references for immediate trades (source: @scottshics on X, Sep 3, 2025). According to @scottshics, no direct crypto market impact or token catalysts are mentioned, with the message centered on AI startup economics and improvement cadence (source: @scottshics on X, Sep 3, 2025).

According to @scottshics on X, he, @DavideCrapis, and Chi discussed the A2A protocol at the Ethereum Foundation SF office two weeks prior, underscoring its relevance to Ethereum’s AI-agent stack for builders and traders. According to @scottshics on X, A2A defines robust interfaces including agent card, streaming, and push notifications, and also leaves room for protobuf, leading him to call it a great foundation to integrate with. According to @scottshics on X, this direct developer assessment highlights specific interface and extensibility features that ETH-focused traders tracking AI-agent infrastructure can reference for technical due diligence.

According to @scottshics, Kite is built for an agentic future and AI agents’ reliable execution time is doubling roughly every 7 months, highlighting fast performance improvement, source: @scottshics on X, Aug 19, 2025. The post references a research report by @0xPrismatic that informed this view, source: @scottshics on X, Aug 19, 2025. For crypto traders, this acceleration in agent capabilities is a relevant datapoint for the AI-agent and on-chain automation narrative within digital assets, source: @scottshics on X, Aug 19, 2025.

According to @scottshics, a new blockchain concept built on QuickPay was highlighted as a major breakthrough, but the post discloses no technical specifications, token ticker, or launch timeline for trading decisions. Source: @scottshics on X, August 12, 2025. With no stated integrations, liquidity plans, or exchange listing details, there is no immediate price catalyst or actionable order-flow signal at this time. Source: @scottshics on X, August 12, 2025. The post includes a project link, so traders should monitor that channel for whitepaper, testnet metrics, and tokenomics updates before positioning. Source: @scottshics on X, August 12, 2025.

According to @scottshics, a new blockchain payments idea built on QuickPay is described as one of the best breakthroughs in the industry, signaling strong positive sentiment toward QuickPay-based payment infrastructure, source: @scottshics on X, Aug 12, 2025. The post includes a link but does not provide technical details, token information, timelines, or pricing context, making this a sentiment-only signal rather than actionable fundamentals at this time, source: @scottshics on X, Aug 12, 2025. No specific cryptocurrencies, tickers, or on-chain metrics are mentioned in the post, which limits immediate trade setup clarity and keeps the focus on market sentiment monitoring, source: @scottshics on X, Aug 12, 2025.

According to GoKiteAI, KiteAI has officially upgraded its blockchain testnet from Testnet Aero to Testnet Ozone, highlighting a significant technical milestone for the project (source: GoKiteAI Twitter). This upgrade is expected to enhance network performance and scalability, which could directly impact token utility and market sentiment. Traders should monitor KiteAI's ecosystem developments, as technical upgrades often precede increased trading volume and price volatility in related tokens. Enhanced testnet capabilities may also attract more developers and users, potentially influencing liquidity and long-tail keyword searches like 'KiteAI Ozone testnet upgrade' and 'crypto testnet performance'.

According to Scott Shi (@scottshics), a full room of AI founders attended Stripe Founders Day on May 6, 2025, highlighting the increasing intersection between fintech innovation and artificial intelligence. For crypto traders, this signals growing momentum for AI-driven blockchain projects and potential Stripe integrations that could influence payment token adoption and DeFi activity. As Stripe remains a leading payments platform, its engagement with AI founders may accelerate new crypto use cases and drive token utility across payment and Web3 ecosystems. Source: Twitter (@scottshics, May 6, 2025)

According to Scott Shi (@scottshics), a full room of AI founders attended Stripe Founders Day, highlighting the growing convergence of AI innovation and fintech platforms. This event signals increasing institutional interest in AI startups, which may drive new partnerships and investment flows into blockchain and cryptocurrency sectors that integrate AI technology (Source: Scott Shi, Twitter, May 6, 2025). Traders should monitor developments from Stripe and AI-focused fintechs, as enhanced AI integration could impact crypto payment infrastructure and token adoption.