// Module 02 — Knowledge Engine

Correct an answer once — and every channel speaks the new truth the same turn. Fix an answer once — every channel says the new, correct thing right away.

The Knowledge Engine is the brain behind every reply your platform gives. It grounds the chatbot and the phone agent in one shared, self-correcting source of truth — so when your team fixes something, the fix is live in the next message, on every channel, with no retraining and no developer.

The Knowledge Engine is the brain behind every answer your platform gives. It keeps the chatbot and the phone agent reading from one shared set of facts that corrects itself — so when your team fixes something, the fix shows up in the very next message, on every channel, with no retraining and no developer needed.

← Back to the product overview

// Instant live corrections

Your team's note is the supreme source of truth — and it lands the next turn Your team's note is the final word — and it takes effect right away

Operators correct any answer straight from the Command Center, and the fix is live in the very next message — across chat and phone — with no retraining, no developer, and no redeploy. Standing operator notes are the highest authority in the system: they override stale training data and built-in facts the moment they're written. If yesterday's hours were wrong, you type the right ones once and both the web assistant and the 24/7 phone line start saying them immediately.

Your team can fix any answer right from the Command Center dashboard, and the fix shows up in the very next message — on chat and on the phone — with no retraining, no developer, and no waiting for a new release. A note your team writes and keeps in place is the highest authority in the system: it overrides old training data and built-in facts the moment it's written. So if yesterday's hours were wrong, you type the right ones once, and both the web assistant and the 24/7 phone line start saying them right away.

Standing notes are the supreme source of truth. They override stale data within a fixed safety floor — so a correction takes effect instantly, but it can never push the assistant past the rules it isn't allowed to break.

A note your team keeps in place is the final word. It overrides outdated information, but only within a fixed set of safety rules — so a correction takes effect right away, but it can never push the assistant past the rules it's not allowed to break.

// Stays current automatically

The knowledge base keeps itself fresh while you run the day The knowledge base stays up to date on its own, all day

Truth drifts when nobody's watching it. The Knowledge Engine refreshes from your own website every day, so the things you publish stay in sync with what the assistant says. And the email your team already sends becomes knowledge too: staff blasts can be promoted into the knowledge base — with a human review gate standing between an inbound message and what your assistant tells the public.

Information goes stale when no one is watching it. The Knowledge Engine checks your own website every day, so what you publish stays in sync with what the assistant says. And the emails your team already sends become knowledge too: staff blasts can be added to the knowledge base — with a person reviewing them first, before any message from the outside reaches what your assistant tells the public.

// Grounded, not invented

It answers from your knowledge — or it declines. It never invents. It answers from your real information — or it says it doesn't know. It never makes things up.

The Knowledge Engine is built accuracy-first: a no-fabrication rule enforced in code, not just suggested in a prompt. On the questions where a wrong answer does real damage — your hours, donation details, endorsements, who you are and aren't affiliated with — cite-or-decline guards require the answer to be grounded in your knowledge. If it isn't, the assistant declines or escalates to your team rather than guessing. That's the floor an operator note can speed up, but cannot switch off.

The Knowledge Engine puts accuracy first: it's not allowed to make things up, and that rule is built into the code itself, not just a suggestion in a prompt. On the questions where a wrong answer causes real harm — your hours, donation details, endorsements, who you are and aren't connected to — the system requires the answer to come from your own knowledge. If it can't find a real answer, it says so or hands the question to your team instead of guessing. Your team's notes can speed this up, but they can never turn this rule off.

This is the safety floor a note can't override: never fabricate hours, dollar figures, endorsements, or names; ground the answer or escalate. You can correct what the assistant says — you can't talk it into making something up.

This is the safety rule a note can never override: never make up hours, dollar amounts, endorsements, or names; answer from real information or hand it to a person. You can correct what the assistant says — you can't get it to invent something.

// How retrieval works

How it finds the right answer, in plain English

You don't need to think about any of this to run it — but here's what's happening under the hood, without the jargon. When someone asks a question, the engine first does a fast keyword-style search across your knowledge to pull the passages most likely to hold the answer. It can then re-rank those candidates by meaning, so a question phrased differently than your notes still finds the right one. The heavy lifting is done ahead of time, so there's no waiting penalty added to each message — answers stay quick whether it's a slow afternoon or a flood of questions at once.

You don't need to understand any of this to use it — but here's what's happening behind the scenes. When someone asks a question, the system first searches your knowledge for the keywords most likely to hold the answer. It can then double-check that list by meaning, so a question asked in different words than your notes still finds the right one. All the hard work happens ahead of time, so it doesn't slow down any single reply — answers stay quick whether it's a quiet afternoon or a rush of questions at once.

  1. 1Find the candidates. A fast keyword-style search pulls the passages from your knowledge most likely to contain the answer.Find likely matches. A fast keyword search pulls the passages from your knowledge most likely to contain the answer.
  2. 2Rank by meaning. An optional meaning-based re-rank reorders those candidates so a question asked in different words still lands on the right note.Double-check by meaning. An optional step reorders those matches by meaning, so a question asked in different words still lands on the right note.
  3. 3Ground the reply. The assistant answers from what it found — or declines and escalates if it can't ground the answer.Answer from real information. The assistant answers from what it found — or says it doesn't know and hands it to your team if it can't.
  4. 4No per-message penalty. The preparation is done in advance, so retrieval doesn't slow down individual replies, even under a surge.No slowdown per message. The prep work is done ahead of time, so looking things up doesn't slow down individual replies, even when a lot of questions come in at once.

The takeaway for you: the assistant pulls the right facts quickly, phrases its reply naturally, and stays fast — and every word is grounded in the knowledge you control.

The takeaway for you: the assistant finds the right facts quickly, writes its reply naturally, and stays fast — and every word comes from the knowledge you control.

// Facts graph

See how your key facts connect — and where each one came from. See how your key facts connect to each other — and where each one came from.

The facts graph is an operator-facing audit view, built deterministically from the Campaign Facts you curate in the Command Center — your organization, its endorsements, contacts, and key resources. It lays out how those facts relate and, for each one, shows its source: a synced note, a panel edit, or the shipped default. At a glance you can confirm exactly what the assistant will hand a supporter, and why.

The facts graph is a view for your team, built directly from the facts you manage in the Command Center — your organization, its endorsements, contacts, and key resources. It shows how those facts relate to each other, and for each one, where it came from: a synced note, a dashboard edit, or the built-in default. At a glance, you can confirm exactly what the assistant will tell someone, and why.

// Live demo

See it answering real questions right now Watch it answer real questions, right now

The live demo runs the exact system that ships to customers — try it as a campaign or as a business.

This demo is the exact same system real customers get — nothing watered down. Try it as a campaign or as a business.