MYND /AI LAYER
Mynd Labs AI Layer

Intelligence, with boundaries.

Context, permissions and useful actions. Explore the questions that connect intelligence to application workflows.

Context, permission and action layers around a central core

Context, permission and action layers around a central core. Scroll to explore the assembly.

01Context
02Permission
03Execution
01 / AI Layer

Agents and workflows

Break a task into small, reviewable actions. Separate preparing a change from carrying it out.

Read about agents and workflows ↗
02 / AI Layer

Context and memory

Keep relevant information close to a task. Preserve its source, scope and freshness.

Read about context and memory ↗
03 / AI Layer

Permissions and control

Read access and authority to change something are different decisions. Keep the boundary visible.

Read about permissions and control ↗
04 / AI Layer

Model routing

Consider task quality, latency and cost together when choosing a model.

Read about model routing ↗
05 / AI Layer

Evaluation

Check what a system understood, what it attempted and what actually changed.

Read about evaluation ↗
06 / AI Layer

Integration

Start with one workflow. Map the systems, access rules and review points around it.

Read about integration ↗
07 / AI Layer

Business story

Mynd Labs AI Layer: intelligence, context and authorized action.

Read about business story ↗
Contact

Start with the problem.

Describe the work, the systems involved and the constraints that matter. Include the question you want to discuss.

hello@myndlabs.tech ↗