Build a multilingual typing app for language learning
A buildathon participant used Replit Agent for the first time to create LingoType, a typing app for mastering new languages.
Original post ↗Tenbri provides an open-source solution for maintaining a transparent log of AI agent decisions, ensuring accountability and verifiability.
As AI agents become more prevalent, the need for transparency in their decision-making processes is critical. Traditional logging methods can be manipulated or lack accountability, leading to trust issues. Tenbri addresses this by offering a secure, append-only record of every decision made by AI agents, which can be verified offline.
Use pip to install the Tenbri package, which is necessary for creating the decision records.
Set up the Tenbri environment by initializing the necessary streams and agents.
Integrate Tenbri with your AI agents by using the provided functions to ensure all decisions are logged.
A buildathon participant used Replit Agent for the first time to create LingoType, a typing app for mastering new languages.
Original post ↗Used Replit Agent and Design Mode to build an app with decoy messages, drum rolls and live status tracking for a buildathon.
Original post ↗RemainderBot uses a founder's goals and task lists to write PRs with spare Claude and Codex quota, producing 111 PRs including call prep and prototypes.
Original post ↗