TypeSafe Plugin for Hermes Agent
This plugin transforms model output into typed judgments: Choice, Score, or Noul, ensuring validation before host code execution.
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Each record is a researched post: the original tweet, the tool or tools named in it, a category, and when it was posted. Nothing here is invented for the page.
This plugin transforms model output into typed judgments: Choice, Score, or Noul, ensuring validation before host code execution.
view details →Experience a virtual town where a single entity makes over 20,000 decisions in minutes, managing everything from work to health for 120 residents. Encounter challenges like sickness and disasters as the town evolves.
view details →JevRouter routes HTTP requests based on meaning rather than method and path. It is available for installation via npm with the package name 'hono-jev-router'.
view details →An experiment integrating Jev into a SaaS AI Agent shows remarkable speed, responding faster than user input. It operates at approximately 100 times lower cost than traditional LLMs and efficiently directs requests needing a full LLM.
view details →Utilized an agent to manage supplier follow-ups, drafting bilingual notes and ensuring compliance with CC rules. The process included searching for threads, obtaining approval, and executing email sends efficiently.
view details →Jev, a model from TypeSafe AI, is now integrated into Orus agents to review proposed trades. It can approve, refuse, or request further observation based on user-defined conditions.
view details →This agent provides instant creative ideas on fresh topics and demonstrates strong user intuition and empathy. While it has some issues with context and readability, it is generally well-regarded for its social emotional intelligence.
view details →The service canceled Amazon subscriptions and connected with a human agent via live chat. It also scheduled cron jobs for monitoring visa slots.
view details →Jev successfully played Pokémon FireRed and defeated the Elite 4 using a party of level 40 Pokémon. The entire process cost less than $0.03.
view details →An agent used Muse to book 4 tickets to Quinta da Regaleira, with the platform handling the website loading, slot finding, and checkout process. Tickets were received in the inbox just minutes later.
view details →A user connected their Instagram to Muse and made a vague request to find an Airbnb account in Joshua Tree. Muse successfully identified the account with just one attempt.
view details →This tool flags AI-generated replies on X by analyzing common writing signals. It provides instant probability assessments for each reply through a Chrome extension.
view details →The new bot voice feature is easier to use than typing, though it can cause delays when communicating with a chief of staff. Switching directly to the shopper improves performance, especially with Walmart, where it can now solve captures.
view details →A bot designed to play ThursdayArena has achieved a ranking of #5 out of 2,138 players. The creator is sharing a template and prompt to help others build their own gameplay bots.
view details →Instinct AI offers an easy-to-use interface for making restaurant reservations. It confirms details like the number of guests before finalizing the booking.
view details →Set up Oracle as an autonomous agent in Notion to manage schema health, eliminate duplicate cards, and perform scheduled database sweeps.
view details →A user shares their experience of buying the wrong product from a drug store.
view details →This Chrome extension listens to YouTube audio and detects sponsor segments to skip them in real-time. It is a prototype project that costs approximately $0.005 per video and is open-source.
view details →Discover the best noise-cancelling headphones under $150 with top mic reviews. Quickly compare prices and access a ranked list of options.
view details →A user successfully negotiated their Verizon Fios bill down from $134 to $64 after one hour of negotiations.
view details →A partnership between Instinct and Muse agents resulted in 4,700 leads harvested and validated without duplication. They also created a work contract independently.
view details →Meta's Muse successfully drove a robot by installing PyTorch and Depth Anything V2 in its own VM to estimate distance and navigate.
view details →The argument validator in PatchOpsAi, built with Luna, shows performance metrics of 1.1–2.8 seconds, while @typesafeai's Jev took 195–251 ms on the validator and 221–901 ms on the scanner.
view details →Muse AI quickly set up a dental appointment while maintaining privacy, completing the task in under 10 minutes. Users can save costs compared to other models while enjoying near-instant response times.
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