Resolve01
Reason, then answer
The agent works through complex, multi-part questions against your sources instead of returning a canned reply.
Resolve requests. Capture opportunities.
ChatFast is the platform for building and deploying specialized AI agents for sales, customer service, research, and more—all reasoning across your knowledge base.
Free to start · No credit card · One snippet to install
In production at
1snippet
Deploys on any site
4steps
From sources to live agent
94%accuracy
Compared to regular chatbots
0
Of your data trains a model
Three jobs. One agent.
Capture02
Qualify in the chat
The agent collects the details your team needs while the visitor is still interested.
Escalate03
Hand off complete
Exceptions reach a person with the request, contact, and full transcript already attached.
How it works
From your knowledge to a working agent.
- 01Connect
Give the agent its knowledge.
Add the website, help center, PDFs, files, and Q&A it should reason over, then set what it resolves, collects, and escalates.
Add sourceSources
SourceTypeStatusWebsiteIndexednorthstar.com
248 pages
WebsiteIndexedHelp center
94 articles
FileIndexedPlans_and_pricing.pdf
18 pages
Q&AIndexedTeam Q&A
36 entries
FileIndexingRefund_policy.docx
4 pages
The agent answers only from these sources.
- 02Validate
Check every answer before customers see it.
Run real support, sales, and edge-case requests in the playground, and correct anything that falls short.
Advanced reasoningPlayground
We need SSO and EU data residency for 42 support agents. Is the Business plan a fit?Reasoned acrossPlans_and_pricing.pdfHelp centerTeam Q&ABoth are included on Business, and 42 seats is within its limit. One detail decides the right workspace setup.
Who needs administrator access?
1.Only our 6 team leads2.All 42 support agentsMessage... - 03Deploy
One snippet, then live conversations.
The agent resolves requests from your sources and captures the details your team needs to follow up.
A Northline visitor asks for a demo next week. The agent reads the request, collects the work email, company, and team size inside the conversation, then sends the details to the team. - 04Refine
Improve from what customers actually ask.
Review demand, low-confidence answers, and captured contacts, then strengthen the knowledge behind them.
Insights
Last 30 daysConversations
1,284
+18%Average time
2m 18s
-12%Contacts
96
+24%User messages
3,842
+16%Activity breakdown
5,222MessagesConversationsContactsNeeds attention
4Answered with low confidence.
Which plans include EU data residency?
Not confident·Can members update billing information?
Not confident·Do you support SAML single sign-on?
Not confident·Add a Q&A to fix these
Why ChatFast
Built for accuracy and usefulness.
State-of-the-art reasoning, applied to your knowledge and to what each visitor is actually asking for.
Reasoning with state-of-the-art retrieval
Frontier models pull from across your sources and connect the details to reach the right answer, not the nearest match.
Reads intent, answers with confidence
It works out what the visitor is trying to do, asks for what is missing, and commits to an answer your sources support.
Captures visitors, triggers your actions
Contact details are collected in the conversation, then your own actions fire — send an email, call your API, or open a link.
Chatbots vs agents
The upgrade is measurable.
Same knowledge base, two systems. A scripted chatbot matches keywords and returns the nearest canned reply. A ChatFast agent reasons over your content, cites every answer, and refuses to guess — customers who get real answers come back.
ChatFast agentTraditional chatbot
Response accuracy
94%
48%
Customer retention
82%
55%
Before you commit
Frequently asked questions
01What happens when the agent gets an answer wrong?
Correct it once, and the correction holds. Review the conversations the agent has handled, find the answer you want changed, then use Q&A to pair that question with the exact reply you want. That entry governs how the agent answers from then on. It draws only on the sources you connect, and you decide what it says when a question falls outside them.
02How does the agent stay current when our pricing or policies change?
Update the page or document, then re-index that source. The agent works from the new version and no longer gives the previous answer. You can review every source it draws on, so nothing answers from material your team has already replaced. For details that are not documented anywhere, add the answer directly as a Q&A entry.
03How much of our team’s time does this take to launch and maintain?
Launching takes four steps: connect your sources, define what the agent should resolve and collect, test real customer questions in the playground, then add one snippet to your site. Deciding which sources to trust takes the most consideration, and the remaining steps are quick. After launch, you review conversations and correct the answers that fall short.
04Is our content used to train AI models?
No. We do not train or fine-tune foundation models on your documents, your messages, or any other data in your workspace. Your knowledge base remains private to your workspace and is used only to power your own agents.
05What does this cost as conversation volume grows?
You spend credits on each message a customer sends, 10 for basic reasoning and 25 for advanced, so cost follows actual conversation volume. You can also limit how many messages a single visitor sends within a set number of minutes, which prevents one person from consuming a disproportionate share of your credits.
06We already have a support team and a help desk. Does this replace them?
No. The agent works in front of your team, resolving the repetitive questions and passing everything else to a person. When it hands off, AI replies stop and the conversation is flagged for an operator. Transcripts and newly captured contact details arrive in your team inbox as they come in.
07Can the agent handle customers who write in other languages?
Yes. The agent replies in the language the customer writes in. You can also pin a single language if you want every conversation answered in one.
08Which AI models power the agent?
ChatFast runs on models from leading providers, including Claude, GPT, Gemini, and Grok, and routes each request to the model best suited to it, so you never have to keep switching models yourself. What you choose is the reasoning level for each agent: Basic covers standard reasoning at 10 credits per message, and Advanced applies stronger reasoning at 25 credits on the Pro plan.