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Feature · Upsolve Builder Agent

An agent that improves your data agent.

The Builder Agent reads your workspace and your users' chat history, then proposes fixes to your data model, prompts and skills. Every change lands in a draft, so production stays untouched until you promote it.

Reads real usageFinds data driftDraft-first changes
New · Launch Month day 13, Mon 12 Oct 2026 · Upvote on Product Hunt →
BUILDER AGENT · USAGE REVIEWDRAFT
Upsolve Builder Agent reviewing a month of usage and reporting four data model tables that no longer exist in the database
01 / The problem

Data agents decay quietly after launch.

01

Tables change under the hood and nobody updates the data model. That's data drift.

02

Most tables ship without descriptions, so the agent guesses what columns mean.

03

The signals to fix it sit in chat history that nobody has time to read.

02 / How it works

From setup to production in three steps

01

Ask the Builder Agent

Ask it to describe your tables, or to review the last month of usage and suggest improvements.

02

Review its proposals

It scans the database and chat history, then proposes descriptions, prompt rules, knowledge base files and skills. Approve each one, or let it run in auto mode.

03

Test and promote

Everything lands in a draft. Try it in the playground, then promote the draft to a new version for your users.

03 / What changes

What changes with Upsolve Builder Agent

Without Upsolve Builder Agent

Someone has to notice the agent getting worse, dig through chats and fix the context by hand.

With Upsolve Builder Agent

The Builder Agent reads real usage, proposes the fixes and stages them in a draft for you to approve.

04 / What you get

Everything that ships with Builder Agent

DESCRIBE

Automatic descriptions

Scans every table that isn't described and writes table and column descriptions.

DIAGNOSE

Usage-driven fixes

Finds problems like data model tables that no longer exist in the database, stale views and chart date errors.

EXTEND

Knowledge and skills

Writes knowledge base files and generates skills from what it learns about your data.

DRAFTS

Safe by default

Changes go to a draft with a full history, never straight to production.

05 / Where it fits

One layer of a closed learning loop

Upsolve builds the whole stack for data agents that stay accurate in production. Every conversation feeds the next improvement.

01
Ontology
Your data described clearly. Permissions enforced deterministically, not delegated to the agent.
02
Agent harness
Snappy, reliable, accurate. Learns from real interactions and updates its skills and memory.
03
Distribution
Your product, your Slack channels, Claude. Go where your users already are.
04
Improvement loop
Live evals on real usage find the gaps, then you harden the context to close them.
This feature
06 / Launch Month

Part of Upsolve Launch Month

See all fourteen launches →
07 / FAQ

Common questions

No. Every change lands in a draft. You review it, test it in the playground and promote it when you're happy.

Table and column descriptions, system and chart generation prompts, knowledge base files and skills.

Yes. Upload files to the knowledge base so it works from your real business rules, not only from what it reads in the database.

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