Knobs by DataKnobs

The AI control plane for observable, controllable, trustworthy systems

Knobs helps teams identify the few high-impact variables that shape AI behavior, then monitor, evaluate, steer, and optimize them across data products, copilots, and autonomous agents.

AI Observability
Evaluation + Guardrails
Agent Control

Control Focus

Tune the variables that matter

Safety ThresholdHigh
Autonomy LevelBounded
Reasoning DepthAdaptive

Observe

Telemetry + drift

Evaluate

Failure surfaces

Steer

Policies + controls

The problem

AI systems are powerful, but too often opaque.

  • Teams cannot see which variables actually drive AI outcomes.
  • LLM and agent evaluations become expensive and fragmented.
  • Autonomous agents need real-time boundaries, telemetry, and override paths.
  • Governance teams need evidence, not vague confidence.

The Knobs answer

Find the knobs. Measure them. Control them.

  • Discover the high-impact behavioral, data, model, and workflow variables.
  • Turn those variables into evaluation dimensions and operating controls.
  • Continuously optimize AI products for safety, cost, quality, and business outcomes.
  • Give product, engineering, risk, and business teams one shared control plane.

Capabilities

From black-box AI to governed intelligence

Knobs converts AI behavior into observable signals and adjustable controls.

🔍

Knob Discovery

Identify the variables that disproportionately influence model outputs, agent behavior, safety, cost, and user outcomes.

📊

AI Observability

Monitor reasoning paths, memory state, tool usage, drift, failure modes, and human interventions in one place.

🎛️

Control + Steering

Steer AI behavior with thresholds, policy gates, prompt controls, approval workflows, and autonomy boundaries.

Evaluation Optimization

Focus testing on high-impact behavioral dimensions instead of trying to enumerate every possible prompt and edge case.

Cost + Performance Tuning

Optimize model routing, token usage, context design, evaluation frequency, and human review load.

🤖

Agent Management

Control long-running agents with autonomy scores, loop detection, goal monitoring, and human override mechanisms.

Product Modules

A modular system for AI operations

Use Knobs as a control layer across Kreate data products, Kontrols governance workflows, and enterprise AI assistants.

Discovery Engine

  • Feature attribution
  • Causal analysis
  • Latent variable detection
  • Sensitivity analysis

Evaluation Framework

  • Behavioral stress tests
  • Dynamic benchmarks
  • Failure surface analysis
  • Adversarial simulation

Control Layer

  • Safety thresholds
  • Prompt steering
  • Policy gates
  • Approval workflows

Optimization Engine

  • Token efficiency
  • Context compression
  • Multi-model routing
  • Fine-tuning feedback

Observability Platform

  • Telemetry capture
  • Memory tracking
  • Drift monitoring
  • Safety dashboards

Agent Manager

  • Autonomy scoring
  • Loop detection
  • Goal monitoring
  • Trust scoring

Architecture

A feedback loop for AI control

Knobs links telemetry, behavioral evaluation, policy control, and optimization into a repeatable operating model.

Measure

Collect signals from prompts, outputs, tools, memory, users, and business outcomes.

Discover

Find the variables with outsized influence on safety, quality, cost, and adoption.

Control

Apply gates, thresholds, routing, human review, and policy boundaries.

Optimize

Tune the system continuously based on real-world feedback.

Telemetry Collection
Behavioral Analytics
Latent Discovery
Knobs
Evaluation Engine
Policy + Control
Governance + Audit

Why Knobs

Move from AI experimentation to AI operations

Knobs gives teams the practical controls needed to ship AI products safely: what to measure, what to evaluate, what to tune, and when to escalate.

Observable

Know what happened and why.

Controllable

Set boundaries before issues scale.

Optimizable

Tune for cost, trust, and adoption.

Auditable

Generate evidence for governance.

Put controls around your AI systems

Use Knobs to monitor, evaluate, and steer AI products before risk becomes production failure.