TL;DR
Charles Hoskinson announced an update for Logan the Exit Liquidity Lobster, Cardano’s AI bot, expanding its capacity to track projects within the ecosystem. The update is called “From Shell With Love” and aims to integrate project information directly into the bot.
Logan is an open-source bot that posts Cardano content on Moltbook 24/7. The update will allow the bot to monitor project data, tokens, and ecosystem activity, and provide analytics on the blockchain. Project APIs and technical documentation can also be connected.
Hoskinson invited developers and project teams to submit their documentation to be included in the next version of the bot. Interested parties must share links to their documentation so their projects can be added. The community responded actively; some developers have already sent their information and expect integration in the next update.
The update keeps Logan as a central tool for tracking projects and on-chain data, consolidating information within the Cardano ecosystem without requiring manual management by users. “From Shell With Love” will be accessible to all developers, and navigation through the bot will be intuitive and straightforward.
Hoskinson explained that the update aims to allow Cardano to continue growing while keeping its environment operationally secure. Logan received improvements to its operational and environmental security protocols, designed to reduce vulnerabilities and prevent hacking attempts. The update will reinforce protection against current threats while also preparing for future risks, including attacks from quantum computing.
Project integration within Logan does not require changes to developers’ infrastructure. Submitted documentation and APIs will be incorporated directly into the bot’s workflow, allowing projects to appear in the system without additional modifications.
Hoskinson keeps the bot running alongside other blockchain improvements, ensuring Logan operates within the network’s defined security and performance parameters. Cardano seeks to combine the academic precision of its protocols with real-world economic operations, providing constant data on the ecosystem
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