ChatBaser · Available now · Included in Pro
The AI agent builder grounded in your approved knowledge.
ChatBaser is an AI agent workspace for setting a focused job, attaching approved files and text, testing real conversations, and learning from the resulting chat history.
Write the instructions. Add the source material. Test the agent in the playground. Then inspect its logs and revise the knowledge or behavior when an answer misses the mark.
Current approved knowledge sources are file uploads and direct text. Widgets, public links, custom domains, integrations, and team workspaces are not promised here.
TEST THE AGENT
Is this course designed for someone launching their first cohort?
Course conciergeYes. The program starts with the offer and curriculum foundation before moving into the launch system. If you already have a course, you can begin from the campaign and delivery sections.
What should I prepare before I start?
Course conciergeBring your topic, the audience you want to help, any existing notes or lessons, and the outcome you want students to reach.
Ask the agent a test question…Send
The promised land
Build the assistant that reads your business first.
Give every agent one clear job, approved knowledge, testable instructions, and a conversation record that shows exactly what needs to improve next.
Product facts
The product facts before you begin.
- Status
- Available now
- Membership
- Pro plan
- Start with
- Define and ground the agent
- Review
- Test real conversations
- What moves forward
- Learn from activity and refine
ChatBaser is available now in Pro. This page limits its knowledge sources and deployment claims to the capabilities verified in the current product.
How the work moves
From approved knowledge to an agent you can keep improving.
The AI answers from the instructions and sources you provide. You test the conversation, inspect the logs, and change the agent when the evidence says it needs work.
Define one job
Set the agent’s name, purpose, instructions, personality, identity, and approved files or direct text.
Use the knowledge
ChatBaser processes the attached sources and makes them available during the agent’s conversation.
Run the conversation
Test multi-turn answers, retain chat history, and inspect activity through logs, charts, and exports.
Correct the weak answer
Add or remove sources, revise the instructions, retrain, retest, and review the next conversation.
CREATEagent name and purpose
GROUNDfiles and direct text
TESTinteractive playground
LEARNlogs, charts, exports
01 · Give the assistant one clear job
Start with purpose, not a blank chat box.
Create the agent with a name and description, configure its system instructions and personality, and shape the colors, avatar, and position that identify it. The product keeps AI complexity behind the agent’s operating settings.
Name the job the agent owns.
Define whether it supports customers, answers product questions, helps a team, or guides a focused workflow.
ONE AGENT · ONE RESPONSIBILITYSet the behavior
Use the system prompt and personality configuration to establish the role, boundaries, and response style.
BEHAVIOR BEFORE ANSWERSMake it recognizable
Configure colors, avatars, and visual placement for the agent experience.
APPEARANCE CONTROLSManage the agent
Create, open, configure, test, and retain multiple focused agents from the dashboard.
AGENT WORKSPACENo personal AI key
The platform manages the underlying AI connection rather than asking each user to configure an API key.
LESS TECHNICAL SETUPDeploy features are evolving
Current marketing does not promise widget, iframe, public URL, custom domain, Slack, Discord, or webhook availability.
CURRENT PRODUCT ONLYCourse concierge knowledge
+ Add source
SourceTypeStatus
Program curriculumPDFReady
Offer and enrollment notesTextReady
Student FAQDOCXReady
Support escalation rulesTXTReady
02 · Give it approved material
Ground the answer in the source the business controls.
Add files or direct text to the agent’s knowledge workspace and let the document-processing flow make those sources available during testing. Keep each agent’s sources focused on the job it owns.
File uploadsDirect textDocument processingPer-agent storageSource management
03 · Test before the customer does
Use real questions to find the weak answer.
Open the interactive playground, begin a conversation, review recent chats, and keep the history in database storage. The test surface makes it possible to refine the instructions or knowledge before wider deployment capabilities arrive.
04 · Questions are product research
Read the conversations as operating data.
Use date filtering, chat logs, details, responsive charts, pagination, and storage calculation to understand agent activity. Export logs in JSON, PDF, or CSV when the conversation history needs deeper review.
The useful assistant knows its job
Build from approved knowledge. Improve from actual questions.
Create the agent, ground it, test the conversation, and let the activity reveal what the business should explain better next.
Straight answers
What to know before you open ChatBaser.
What is ChatBaser?
ChatBaser is an AI-agent workspace for defining one job, grounding it in approved files or text, testing conversations, and reviewing activity and analytics.
What do I bring to ChatBaser?
Bring the agent instructions, identity, approved source files or direct text, and the boundaries for the job the agent should perform.
What does ChatBaser produce?
It produces a configured agent, persistent playground conversations, activity logs, analytics, storage reporting, and supported JSON, PDF, or CSV exports.
What remains under my control?
You control the instructions, knowledge, enabled behavior, test conversations, revisions, and whether an answer is appropriate to use.
What does ChatBaser not promise?
Public links, widgets, iframes, custom domains, platform integrations, and team workspaces remain in development and are not presented as available.