You will get an internal AI knowledge base for Notion, Drive and Slack

Project details
The answer exists. It is in Notion, or a PDF in Drive, or a Slack thread from March. So instead of finding it, someone asks a colleague, and two people lose fifteen minutes.
Search does not fix that, because company knowledge is scattered across tools that share no index and half of it is phrased differently from how anyone asks.
This connects those sources into one place your team can ask in plain language. Notion, Google Drive, Confluence, PDFs and exported Slack history, indexed together.
Every answer carries the source document and section, so anyone can verify instead of trusting. Permissions carry through from the original systems, so if someone cannot open the document, the bot will not answer from it.
The part that matters most is what it does when it does not know. It says so and stops, rather than assembling something that sounds right. A knowledge base that quietly invents is worse than none, because people stop checking.
Re-indexing runs on a schedule, so a changed policy does not leave a stale answer in circulation.
Runs on your own model account and your own infrastructure.
Search does not fix that, because company knowledge is scattered across tools that share no index and half of it is phrased differently from how anyone asks.
This connects those sources into one place your team can ask in plain language. Notion, Google Drive, Confluence, PDFs and exported Slack history, indexed together.
Every answer carries the source document and section, so anyone can verify instead of trusting. Permissions carry through from the original systems, so if someone cannot open the document, the bot will not answer from it.
The part that matters most is what it does when it does not know. It says so and stops, rather than assembling something that sounds right. A knowledge base that quietly invents is worse than none, because people stop checking.
Re-indexing runs on a schedule, so a changed policy does not leave a stale answer in circulation.
Runs on your own model account and your own infrastructure.
Chatbot Type
Customer Service Chatbot, Productivity ChatbotDevelopment Technology
ChatGPT, Node.js, PythonMessaging Platform
Slack, WebsiteWhat's included
| Service Tiers |
Starter
$549
|
Standard
$1,499
|
Advanced
$2,999
|
|---|---|---|---|
| Delivery Time | 10 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Messaging Platforms | 1 | 2 | 3 |
Action Plan | |||
API Integration | |||
Bug Fixes | - | - | - |
Chatbot Flow Design | |||
Conversation Script | - | - | - |
Frequently asked questions
About Fabian
Software Engineer | Web Apps, Automation & Custom Systems
Nittendorf, Germany - 7:02 am local time
Most of my work is systems, not screens: web applications, internal tools, data pipelines, and integrations between things that were never designed to talk to each other. Some of it involves AI. Most of it is just careful engineering.
WHAT I BUILD
Web and app development, front to back
Automation and integrations across APIs, databases and third party tools
Data work: collection, cleaning, moving, reporting
AI where it earns its place: assistants, document search, voice, agents
HOW I WORK
I take a small number of projects at a time. You get direct answers, including when something is not worth building. I write the code myself and it still works after handoff, which is the part most people skip.
Self hosted where privacy matters. German and English, based in Germany, working worldwide.
If you already know what you want, send the spec. If you do not, describe the problem and I will come back with the shape of a solution before you spend anything.
Steps for completing your project
After purchasing the project, send requirements so Fabian can start the project.
Delivery time starts when Fabian receives requirements from you.
Fabian works on your project following the steps below.
Revisions may occur after the delivery date.
Source audit
What you have, where it lives, what is current and what is stale. Indexing out of date documents is the fastest way to make it untrustworthy.
Connect and index
Sources connected and indexed into one searchable store, with permissions carried through from the original systems.