Define context once. Keep it stable forever.

Chat workflows degrade as they grow. Instructions get buried, assumptions change, and outputs drift. Miniloop enforces stable context across every step so your workflow stays consistent from run one to run one thousand.

Platform preview showing centralized knowledge management interface

Benefits of stable context

Stable context turns AI from a conversation partner into an execution engine you can trust.

Enforced instructions

Define your rules once and apply them consistently across every step. No re-explaining and no accidental deviations.

Consistent outputs

Maintain the same schemas and formats across runs, even as workflows evolve or get longer.

Safe re-runs

Re-run workflows with new inputs and get the same structure and behavior without manual cleanup or prompt tweaking.

Why context drift breaks workflows

In chat, the model is constantly re-interpreting intent based on a growing thread. Over time, rules are forgotten, formats change, and edge cases appear. Miniloop makes context explicit and enforced so each step runs with the same assumptions, every time.

Chat context drift vs enforced workflow context
Frequently Asked Questions

Ready to build workflows that never drift?