Taskmify
A connected productivity product evolving from the existing PlannerDate and Weekwise foundation.
View current product statusDevelopment
What we're building next.
OlatechLab develops products and runs focused experiments across software, applied AI, automation, and engineering—sharing maturity clearly as the work changes.
Engineering activity
Explore, make, inspect.
Development connects product questions with working software. The bench can hold released foundations, active builds and focused research at the same time—each with its maturity stated plainly.
See the iterative build lifecycleDevelopment pipeline
Progress has a stage.
Statuses describe where work is now—not a promise that every concept will ship unchanged.
- 01
Research
Test the problem, technology, and practical value.
- 02
Prototype
Make the smallest useful version concrete enough to evaluate.
- 03
Active development
Build and refine a product direction with clear release boundaries.
- 04
Product
Publish only when the experience is ready to be represented responsibly.
On the development bench
Work at different levels of maturity.
Products, foundations, and research tracks are labelled separately so exploration is never presented as release.
Rovenqar
An OlatechLab product under active development. Public detail remains limited until its fuller experience is ready.
View current product statusPlannerDate / Weekwise
The existing platform foundation from which the broader Taskmify product direction is evolving.
See the Taskmify directionAgent & model systems
Exploring patterns for connecting AI agents with tools, workflows, and supported model providers. This is a research track, not a released product.
Explore the research areasApplied AI at OlatechLab
Practical intelligence, with clear boundaries.
Some areas are capabilities we can apply today. Others remain research directions that must prove their usefulness before becoming product work.
AI agents
Agents capable of working with approved tools and software systems around a defined task.
Model-flexible systems
Architectures that can support suitable model or provider choices instead of unnecessary lock-in.
AI + automation
Connecting models with workflows, APIs, databases, and practical business processes.
Voice AI
Evaluating conversational and speech interfaces where voice creates clear practical value.
AI-assisted software
Adding AI to products only where it improves a real user task or operational outcome.
Research & experiments
Testing technologies and constraints before deciding whether they belong in a product.
Development principles
How work earns its next stage.
Useful before impressive
Build, test, improve
Model flexibility where practical
Transparent development status
Keep exploring