Real Estate Management
Build a real estate team knowledge base
Kliv is an AI app builder. Describe your comp memos, scripts, vendor notes, closing checklist, roster rules, Slack workflow, and file-grounded agent, and it builds a real estate team knowledge base.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a document folder or generic wiki — it’s an AI app builder that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the database, file store, search, roster access, agent, Slack workflow, checklists, and screens. You own it, run it on your own domain, and change it later by asking. It isn’t a pile of files with a search box.
On this page, that app is a real estate team knowledge base. Kliv builds all kinds of web apps; this one is for teams that want their local judgment stored, protected, and reusable.
Why every new agent relearns the same market
A real estate team may have years of comp packets, pricing memos, scripts, vendor notes, and closing checklists. The problem is that the reasons behind decisions often live in inboxes and people’s heads. New agents learn by interrupting the lead.
Kliv builds a private knowledge base owned by the team. Files and rows sit behind the team roster, search works by situation, and an agent answers from the team’s own files only.
Priced, pitched, closed: what the team files
Six shelves, one login, each with access rules and history.
Comp packets
Each closed listing keeps the pricing memo, comps used, comps rejected, and local notes such as the discount for a railroad-side lot.
Scripts and objections
Listing-presentation scripts and objection responses are tied to the situations that raise them and the closings where they worked.
The closing checklist
Signed listing to keys becomes stages, owners, and dates. Active deals show their current stage and overdue steps.
The vendor bench
Inspectors, stagers, photographers, and roofers keep private team notes that no public review site holds.
The team’s agent
The agent answers from the team corpus alone and names the note or file behind the answer. When the files are silent, it says so.
The roster
Roster membership opens the corpus. When someone leaves, one record changes and access stops.
An example: Marguerite’s real estate team
Here’s how one business might use it. It’s only an example — you would describe your own files, roster, search needs, and team workflow.
The team’s history becomes searchable
Marguerite imports twelve years of comp packets, scripts, vendor notes, and checklists into the file store, private by default and readable by roster members only.
A new agent gets old judgment
At a kitchen table, a seller questions a $618,500 price. The rookie asks how the team priced a near-twin two streets over and gets Marguerite’s 2024 memo.
Objection answers come with examples
When a seller says another team promised more, the objection bank shows the script and the closings where it worked.
Missing knowledge becomes team work
The rookie asks something the files cannot answer. The agent says the files do not cover it and posts the question to Slack, where Marguerite answers and then files the answer.
The checklist keeps the deal moving
The rookie’s first pending sale follows the same staged checklist as every deal before it, with visible owners and overdue steps.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Name the files, tags, access rules, searches, agent behavior, and team workflow. Here are three to build on:
Team comp library
Pricing decisions, kept and searchable.
“Build a private knowledge base for my real estate team. File comp packets and pricing memos per listing, tag them by neighborhood, property type, price range, and situation, and let roster members search them before listing presentations.”
Script and objection bank
The team’s answers, tied to their moments.
“Build a searchable script library for my real estate team. Include listing-presentation scripts, buyer-consult scripts, and objection responses tagged by scenario, readable only by people on the roster, with examples of past closings where each answer worked.”
Closing process hub
The checklist as data, per deal.
“Build a closing checklist app for my real estate team. Track every transaction from signed listing to keys, assign owners and due dates to each step, flag overdue items, and keep the checklist private to roster members and the assigned agent.”
Wired into the workweek
The wall is the roster. The corpus is files and rows with access checked on every read. Removing someone from the roster revokes access everywhere.
Slack can work both ways. A new memo can announce itself in the team channel, and a question the corpus cannot answer can arrive there as work. Credentials are granted once and kept out of the source.
The process is a table. The closing checklist is rows: stages, owners, and dates. The deal board can show the pipeline’s state before the Thursday sales meeting.
The knowledge base is the team’s back office. The storefront — listings, tours, and transactions — is covered by Kliv for real estate.
Common questions
What exactly is Kliv?
Kliv is an AI app builder. You describe the team knowledge base you need, and it builds the working app with files, records, search, roster access, agent answers, and workflow.
Do I get a real app, or a template?
A real app. Your comp packets, scripts, vendor notes, checklists, roster rules, and agent behavior are built around your team.
Can I change it after it’s built?
Yes. Ask for changes in plain words, such as adding a tag, changing roster roles, or connecting a new Slack channel.
Who can read the team’s files?
The roster decides. Every packet, script, and note can carry an access rule checked on each read, and nothing has to be public.
What does the agent do when the files are silent?
It says the files do not cover the answer. It can also post the question to the team’s Slack channel instead of guessing.
Does the agent answer from the open internet?
No. For this knowledge base, the team corpus is its source. It answers from your files and records.
Is this a client portal?
No. It is internal by default. If you want a client-facing side later, the same app can grow a new view with different access rules.
What happens when someone leaves the team?
Remove them from the roster. Their access to files, rows, and answers ends with that change.
Can it connect to Slack?
Yes. New files can announce themselves, and unanswered questions can be posted to a team channel.
Can the closing checklist become a deal board?
Yes. Checklist stages, owners, and dates are rows, so active deals can show their stage and overdue items.
Can I use my own domain?
Yes. The app runs on your own domain.
Can I move off Kliv later?
Yes. The code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
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Build the team memory into an app
Describe your comp packets, scripts, vendor notes, closing checklist, roster, and answer rules in as much detail as you like. Kliv builds the knowledge base around them.