Integrated Planning Environment
Derek Rosenzweig · Runtime Labs · July 6, 2026
Introduction
An Integrated Planning Environment (IPE) will play a role mirroring Integrated Development Environments (IDEs) in software engineering. IDEs provide a stable and stateful environment where developers write, execute, and manage code within a unified system. An Integrated Planning Environment provides a persistent, structured environment where users, organizations, language models, and agents manage memory, schedule activity, coordinate tasks, and operate on time-indexed context.
In both cases, high-level expression is translated into precise execution at runtime. In software engineering, that means source code in the IDE. In planning, it means natural-language intent grounded in real-world scheduling environments.
Intent to coordination
Runtime Labs is named for this transition point: the moment when abstract intent becomes executable coordination in real-world time.
Óra
Óra is the first Integrated Planning Environment (IPE), structured as an environment where natural language, memory, and external context share a unified and stateful timeline. The same surface integrates photos, notes, location, website links, and model conversations into a single interface. Óra is integrated with calendar infrastructure where users already keep commitments, along with additional platform integrations to track activities and payments.
Three complementary roles
The IPE is structured for three complementary roles:
For humans, Óra is an interface for scheduling and task sequencing in collaboration with language models and agents. It breaks the text-only limits of .ics by integrating photos, brand discovery, and location-mapping into a shared framework. Voice control over date navigation and conversation, together with shared visual context, creates a planning surface that is engaging and supports reliably persistent memory.
For agents, Óra is a stateful operating context for relaying information and coordinating with human supervisors. It provides the observability and human control that autonomous systems currently lack. Suggestions stay grounded in committed events and real schedules, using voice, images, and natural language to bridge human intent with agent actions in real-time.
For organizations, brand publishers curate timeline collections. Each collection is browsable by users who can adopt them into a personal timeline. Programming spans milestones and key dates across commerce, live sports and entertainment, sales schedules, and media. Óra gives brands reach through opt-in discovery. Company milestones and messaging surface on the schedule only under explicit user control. Invasive targeting and feed-style distraction are out of scope for that model.
- For humans: Personalization and scheduling interface
- For agents: Operational context for planning and suggestions
- For organizations: Distribution ecosystem for media and brand timelines