> ## Documentation Index
> Fetch the complete documentation index at: https://developers.techwolf.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# FAQ

# Frequently asked questions

Access questions are covered in [User Management](./user-management), the
allowance in [Credits](./credits). This page covers using the agent day to day.

# Getting good answers

## Why did the same question give me a different answer the second time?

It depends on the kind of question.

**Recall questions are stable.** "How many employees have this skill" or "what
percentage of time for this job is automatable" are calculations over your
data: ask twice, get the same answer. If a recall answer did change, the most
likely cause is that **your data changed** in between. The agent reads live
data, so validated profiles, edited jobs or a completed integration run move
the numbers with them.

**Generative questions will vary.** "What are the role redesign opportunities
for this job" asks the agent to reason and propose. Two runs produce two
well-founded but differently worded answers, the same way two analysts would.
This is intended behaviour.

## How do I get more consistent results?

* **Be specific about scope.** Name the job family, organizational unit, peer
  group or time period rather than leaving it open.
* **Say which data to use**, for example only validated skills, or only a named
  set of jobs.
* **Start a new conversation for each new analysis.** Earlier context helps
  within one piece of work and confuses across two.
* **Attach the exact list.** If you want a specific set of jobs or employees,
  upload it rather than describing it.

## The agent says it cannot answer my question. Should I rephrase it?

Once, yes. Repeatedly, no. When the agent says it cannot do something, that is
usually accurate: the question needs an analysis the underlying data products
do not support, and pressing it into attempting one produces a long wait or an
unreliable result. If you believe the question should be answerable, raise it
with your TechWolf representative; knowing which analyses people want shapes
what we build.

# Data and conversations

## Why can a colleague see something I cannot?

The agent shows you exactly what your Console access allows. See [What
determines what a user sees](./user-management#what-determines-what-a-user-sees).

## What languages can I use?

You can hold the conversation in any language the agent's multi-lingual models
support: prompting in French returns an answer in French. The surrounding
interface is English only.

## How is my data handled?

The agent reads only from your organization's TechWolf data, within your
deployment region. See [Responsible AI
Principles](/technology/responsible-ai-principles) and
[Security](/technology/security). For the Copilot surface specifically, see
[How It Works](./copilot/how-it-works).