Academy Menu
Intelligence
AI context understanding, blocker detection, smart summaries.
8 articlesReading path
How Dailybot uses AI to improve your workflows
You will get a practical overview of Dailybot’s AI assistant, smart summaries, blocker signals, and workflow suggestions, plus what the system can do well and where you should still rely on human judgment.
Building AI-powered workflows
You will learn how AI workflow steps differ from standard automation, which actions are available, and how to chain a first workflow that turns real team input into drafts and posts you control.
How Dailybot AI understands context
Learn how Dailybot builds a contextual model from check-ins, agent output, and history — and how that powers summaries, blocker detection, and follow-ups without shallow keyword matching.
Blocker detection and escalation logic
See how Dailybot spots blockers from check-ins and agent reports, routes escalation to the right people, and highlights repeat issues before they become team-wide drag.
Smart summaries: how they work
A clear walkthrough of how Dailybot turns check-in responses into AI summaries that highlight blockers, sentiment, and themes—so leaders spend less time reading every line.
Context-aware reminders explained
Why Dailybot reminders go beyond fixed timers—how they react to missed check-ins, overdue blockers, and team patterns while respecting time zones and work schedules.
AI-assisted standup generation
How Dailybot drafts standup updates from coding agent activity—so developers spend less time writing status and more time shipping, with human review before anything is sent.
The intelligence engine: architecture overview
A high-level look at Dailybot’s intelligence layer—how check-in and agent data flows through processing into summaries, blockers, sentiment, and reminders, with privacy boundaries built in.