scheduling

The tweet speculates that if the AI assistant Dot gains phone call capabilities, it would be a major step towards realizing the ideal AI assistant with features like appointment making and call handling.

The author describes using AI as a household planning assistant to manage family schedules, noting its usefulness in consolidating scattered information but also its unreliability with errors like inventing appointments.

The author discusses a problem where scheduled AI workflows run successfully without completing the target task, and proposes a solution focusing on workflow targets with checkpointing and continuous progress until completion.

GoodSocials is an AI social media manager for LinkedIn that generates high-quality content, allows approval through a kanban board, and automates posting schedules.

LangChain introduces scheduling capabilities for Managed Deep Agents, enabling automated execution of AI agents using cron expressions and prompts.

Ferryman is a social media cross-posting and scheduling tool that automates content distribution across platforms, with the tweet discussing its growth towards $10,000 MRR.

Donna is a product that lets you schedule multiple meetings with one booking link, featuring conditions like time gaps and built-in workflows for prioritization and routing.

The article explores how AI agents should handle user-initiated task changes during execution, proposing solutions like task revision IDs and discussing edge cases to avoid stale or conflicting actions.

Google Labs introduces CC, an experimental AI agent designed for families to manage household logistics, schedules, and tasks through shared calendars and automated assistance.

PostSider is a social media publishing platform that enables humans and AI agents to schedule and manage content across multiple platforms from a single interface.

This paper introduces HarnessBandit, an online scheduler for training language-model agents across multiple harnesses by jointly optimizing learnability and transferability signals, improving performance on benchmarks like PinchBench and ClawEval.

This paper presents a leakage-safe and scheduler-aware machine learning framework for predicting grid job runtime, using CatBoost with temporal validation to enhance scheduling efficiency in distributed computing environments.

Arindam_1729 shares early access to Cline's new Open Source Desktop app, highlighting its scheduled tasks feature for automating pull request management and improving coding workflows.

A scheduler reported success for days due to misinterpreting exit codes, where exit code 0 only indicates no crash. The fix involved reading worker-reported outcomes instead of relying solely on exit codes to determine success.

The article argues that scheduled agent tasks should have expiry conditions to ensure they only execute when the original context remains valid, preventing obsolete actions.

This paper addresses scheduling business processes under control-flow uncertainty by framing it as a chance-constrained optimization problem, presenting decomposed and integrated approaches with evaluations on real-world and synthetic data.

A discussion asking about infrastructure setups for running AI agents unattended, covering aspects like execution environments, tool management, secrets, versioning, failures, and scheduling.

OneStream Live 2.0 is a cloud-based platform that enables creators and businesses to create, schedule, and multistream live and pre-recorded videos to over 45 social media platforms and websites from a single dashboard.

TOPAS is a workflow-aware prefix-state scheduling method for multi-agent LLM serving that optimizes cache usage and request scheduling to reduce job completion time.

The article provides tips for maximizing the use of Grok Bot by assigning specific tasks, scheduling operations, and managing multiple bots in a group chat to streamline business workflows.