> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kb2b.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Chat with the POT

> How to converse with your POT, what each element of a reply means, how to read citations and POT Scores.

Chat is the main way to **consume** what lives in the POT. You ask in natural language; kb2b pulls the relevant facts from the POT, synthesizes them with Claude and returns a reply with verifiable citations and visible POT Scores.

## How to start a conversation

1. Open **Chat** in the sidebar (`/dashboard/chat`).
2. Type your question in the text box. Press Enter to send.
3. The reply starts appearing in streaming. When it finishes, citations appear below the message.

Conversations are auto-persisted. When you come back to chat the next day, you find the thread where you left it, with every previous message and its citations intact.

## Anatomy of a reply

Each reply in chat has three visible components:

**The synthesized text.** Claude writes it from the facts SciPot handed over. If you see a number in parentheses in the text (e.g. `(2)`), that's a reference to a citation.

**The citations below the message.** They appear as a row of numbered *badges* (1, 2, 3, …). Each badge shows:

* The citation **index** (1, 2, 3, ...)
* The **POT Score** with two decimals (e.g. `0.92`)
* A **level icon** classifying the fact (Constitution, Verified, Supported, Inferred, Hypothesis, Speculation)
* A **network icon** if the fact has relationships (edges) with other POT facts

The **border color of each badge** gives you a one-glance read on confidence:

| Border color | POT Score   | Quick read                                                |
| ------------ | ----------- | --------------------------------------------------------- |
| Green        | ≥ 0.80      | Verified or Constitution — you can act on this            |
| Yellow       | 0.60 – 0.79 | Supported — corroborated, reasonably solid                |
| Orange       | 0.40 – 0.59 | Inferred — the system deduced it, validate before using   |
| Red          | \< 0.40     | Hypothesis or Speculation — treat as a lead, not as truth |

**Clicking any badge** opens a popover with the fact's full content, its score, its tags, its edges (relations with other facts) and the retrieval strategy that brought it in (CAG, RAG, GraphRAG).

Inside the popover, **"Inspect in graph"** opens a deeper modal where you can navigate the fact's connections and understand why it landed in the reply.

## The streaming UX

While kb2b prepares and synthesizes the reply, you see two indicators:

* **Thinking** (three pulsing dots with *"Thinking..."*) — the system is classifying the question and deciding the retrieval strategy.
* **Reading X** (three dots + document or fact name) — the system is reading extra context to enrich the reply.

When the text starts arriving, the indicators disappear and the content renders as streaming markdown. There's no "blinking cursor" — words simply appear.

## Which questions work best

**Specific questions with a temporal or source anchor.** *"When does Acme's contract expire?"*, *"What did Laura say in the last meeting about pricing?"*, *"What internal policies do we have about volume discounts?"*. These are the ones kb2b answers best because it can anchor the reply to concrete facts.

**Comparative questions inside the POT's scope.** *"How does this account differ from the other three most strategic ones?"* works if the POT has material on all four; if not, kb2b tells you data is missing.

**Questions about what the POT does NOT know.** *"What key information are we missing to close this account?"* — kb2b can list the gaps. Useful before a review meeting.

## Which questions work poorly

* **Speculation or creativity.** *"Draft a follow-up email"* is not what chat is for. Use a general-purpose LLM for that. kb2b leans toward *"what do you know and where from"*, not *"what can you come up with"*.
* **Questions outside the POT's domain.** If the POT is about the Acme account and you ask about your monthly cash flow, it'll tell you it's out of scope (assuming `scope_exclusion` is well-defined in the POT's [Constitution](/en/admin/pot-constitution)).
* **General-world factual questions.** *"What's the capital of Chile?"* — kb2b doesn't answer because no fact in the POT says "Santiago". For discovery with web context, use [Scout](/en/user/scout-ai-agent).

## Replies stick around

Every conversation is saved to your workspace's database. That lets you:

* Re-open a thread from weeks ago and continue.
* Share the URL of a specific reply with someone on the team.
* Audit what was said, with its citations and POT Scores as they were at the time (even if the facts have been updated since).

## When a reply is important

If a synthesized reply feels so good you want to *promote* it to a POT fact (with its own POT Score, its relations, its provenance), promotion happens from the [Explore and discuss facts](/en/user/explore-and-discuss-facts) screen, not from chat. Chat is the consumption surface; curation is a separate workflow.

## When a reply has contradictions

Sometimes you'll see kb2b say something like *"the contract expires on 2026-06-30 according to document X, but the last meeting records a negotiation moving the date to 2026-12-31"*. That's a **detected contradiction** and appears flagged in the Knowledge top banner. Resolve it from [Contradictions and resolution](/en/user/contradictions-and-resolution) — the POT's average POT Score rises as you lower the pending-contradictions count.

<Note>
  Your plan includes a monthly token quota. Chat consumes tokens based on POT size, question complexity and reply length. If you approach the quota we warn you at 95% and hard-block at 110% to avoid surprises. See [Token limits](/en/admin/token-limits) for details.
</Note>