> ## Documentation Index
> Fetch the complete documentation index at: https://docs.enfors.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Insights & Drift Detection
> How Enfors automatically flags meaningful shifts in your AI workforce's behavior.
Insights are findings that **find themselves**. Enfors runs a detection engine on a
daily schedule that flags meaningful shifts in behavior — so you catch errors and drift
before your customers do.
## Three tiers of detection
Drift is detected at three levels, each comparing against a different baseline:
The **whole workspace** vs. its own history — has the overall behavior of your AI
workforce shifted?
An **individual agent** vs. its own past — is this agent behaving differently than
it used to?
A **single session** vs. its cohort — is this run anomalous compared to similar ones?
The engine combines several detectors — entity drift, agent shift, session anomaly,
outliers, correlation, and graph-structure checks — and applies statistical controls
(baselines, false-discovery-rate correction, and fingerprinting) so the findings that
surface are real, not noise.
## Speculation ratio
Beyond standard metrics like confidence and routing, Enfors scores **advanced** quality
signals. The headline one is the **speculation ratio**.
For every decision in a session, Enfors checks whether it was **backed by evidence**.
A decision with no supporting evidence is flagged as a potential **speculation**. The
speculation ratio is the share of such decisions — a direct, structural signal that an
agent may be making things up.
Example from the demo: a session with 28 decisions is checked decision-by-decision; any
that lack backing evidence are flagged so you can monitor, alert, and investigate.
## From findings to action
Insights surface directly in [Explore](/using/builder-lens) and feed the
"needs attention" section of generated reports — for example flagging a session as
**rework**. They're also queryable:
* [`list_insights`](/mcp/tool-reference#list_insights) — recent findings across tiers.
* [`list_agents(include_insights=true)`](/mcp/tool-reference#list_agents) — agents with
their insight flags inline.
## Related
Metric trends, outliers, and drift indicators for any session.
The structured dimensions drift is measured against.