The Lab is live. 15 essays from the frontier of AI-native GTM.

Read
System/Integrations/Integration

Google Gemini

LLM & protocol

A question asked in the middle of a deal usually waits for someone to check three tools first. Gemini answers directly when a rep or leader asks it something, and Revenue Labs connects to it as a surface, so that question gets answered from live deal state.

From source record to operating state

01 | The tool on its own

Questions and files in a Google model surface.

02 | With AI bolted on

Connected apps add more context.

03 | A system that learns

Live state reaches Gemini.

The tool alone > AI bolted on > AI-native

What changes when the system works through Google Gemini

Three jobs Google Gemini already does, and what each becomes when alerts, briefs and approvals arrive from a system that learns.

01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Chat and connected apps
Questions and files in a Google model surface.
Gemini lets users ask about files and connected Google services from one conversational workspace. People still choose sources and check the answer before acting.
Connected apps add more context.
Connected services shape the answer in Gemini. That answer does not update the account view used by other capabilities.
Live state reaches Gemini.
Gemini can use the resolved company, contact, and deal context on the next question.
Deep Research
A research plan becomes a cited report.
Deep Research searches selected sources, reads the material, and returns a report. A researcher still sets the scope and decides which findings matter.
Deep Research synthesises the report.
Gemini's report is a finished answer in Gemini. The report does not update a shared account view or learn from what the deal did next.
Research outcomes change the next question.
Approved findings and later deal outcomes shape the context available to the next Gemini run, while Gemini remains the working surface.
Gems and custom workflows
A Gem carries instructions into repeat tasks.
Gems let users save instructions for recurring work. Gem owners still maintain the instructions and decide when the output is fit to use.
Gems follow saved instructions.
Gem responses follow the Gem's scope. They do not use deal outcomes to alter the next decision elsewhere.
Gemini context improves with outcomes.
When a deal closes or stalls, the system learns from the resulting evidence and informs the next approved prompt, while the work stays in Gemini.
Runs on it

Capabilities that act on connected evidence

BUILT FOR SECURITY, CONTROL AND SCALE

Connect data securely, capture every agent's activity, and enforce permissions with ease.

Learn about our security →

CERTIFIED + COMPLIANT WITH:

ISO 27001:2022

GDPR

CCPA

Data Protection Act 2018

The GTM teams that learn fastest will win.
Connect your stack to a system that learns.