Datalox's co-pilot replaces opaque automation with collaborative notebooks. Plans compile into cells, tool calls stream live, and experts edit the workflow before execution touches real instruments.
An agent run decomposes into a living notebook. Every decision becomes an editable cell before execution hits real-world systems.
Users send a command, brace for the final output, and hope the hidden chain-of-thought did the right thing.
The co-pilot emits an annotated plan as notebook cells. You can inspect, edit, or insert new logic before executing downstream actions.
Why glass-box workflows matter for scientific and industrial teams.
Inspect the agent's entire reasoning chain. When something fails, pinpoint the cell, adjust it, and rerun without guesswork.
Teams collaborate with the agent in real time. Edit parameters, branch into exploratory cells, or hand off execution where human judgment matters.
Notebook cells are inherently modular. Compose complex, multi-step workflows without fighting a rigid wizard or linear UI.
From natural language objectives to executable notebooks.
A scientist outlines the high-level goal with context, constraints, and success criteria established up front.
The platform decomposes objectives into a pre-populated notebook with the right code blocks, tool adapters, data tables, and validation cells.
Users review, approve, or modify the proposed workflow before execution, ensuring compliance, safety, and scientific intent.
Execution streams through the notebook with evaluators, metrics, and logs attached to each cell. Every run becomes high-signal training data.
Capture goals, constraints, and required instruments.
Planner expands the mission into typed notebook cells.
Stakeholders inspect, edit, and annotate the workflow.
Run cells with instrumentation, evaluators, and exports.
Datalox delivers glass-box workflows that teams can trust, extend, and govern without exposing sensitive operations.
Every agent run renders as an interactive notebook so subject matter experts can review, annotate, and approve each step.
Humans stay in the loop with checkpoints, guardrails, and the ability to pause or edit cells before anything executes.
Blend models, APIs, lab instruments, and analytics blocks without rebuilding workflows from scratch.
Capture context, approvals, and outcomes so every run is auditable, repeatable, and ready for compliance review.
A unified workspace where teams design protocols, orchestrate agents, and capture institutional knowledge in one place.
Ready to pilot a glass-box agent in your lab or digital ops? Request a walkthrough of the Modular AI Lab Co-Pilot.