
Clustr delivers Google Gemini training for employees: live in-person and hybrid workshops on the Gemini app and Gemini for Google Workspace, Antigravity for engineering teams, and the Gemini API, with literacy baselined and measured through SINA, our AI literacy platform. For Workspace-first teams, Gemini is the shortest path to daily AI.
We have taught Gemini to sales, operations, and finance teams and continue to lead workshops, cohorts, and working office hours built on the Docs, Sheets, and threads your team already works in.
Every engagement starts with a SINA baseline so you know where each role stands, and ends with measured progress. Adoption is the deliverable, not attendance.
Our engineers have worked with Google's APIs, from Gemini API builds in AI Studio to automation across the Workspace stack. When training meets a technical wall, we build through it.
This is the kind of workflow we teach in session: Gemini reading a real client thread, updating the tracker, and drafting the reply in your voice, with your person making the judgment call before anything sends. Small habits like this are what daily adoption is made of.
Done. Three things happened:
Gmail thread summarized, 14 messages
Status row added to the tracker Sheet
Reply draft waiting in your tone for review
Shown here: a client-update workflow taught in an operations session
From the Gemini app to agentic engineering with Antigravity, we train and build across Google's AI stack, and we use it ourselves.
Daily research, writing, and analysis, including Deep Research for the long-form work. The foundation every role starts from.
Gmail, Docs, Sheets, Slides, and Meet. We train each role on the workflows inside the tools they already open every morning, from inbox triage to first-draft documents.
Google's agentic development platform. We train engineering teams to plan, build, and ship with Antigravity and Gemini, and our own engineers work across it.
Custom workflows and integrations built on the Gemini API through AI Studio and Vertex AI by our engineers, running inside your governed environment.
Every engagement is baselined with SINA, our AI literacy platform, and re-measured as the program runs. Leadership sees fluency by role, usage over time, and where to invest next.
AI adoption · pilot to daily use · 90-day program
Baselined with SINA, re-measured at week 12. Adoption is the deliverable.
Kickoffs and flagship sessions happen in the room whenever we can get there. Energy, attention, and trust move faster in person, and the photos on this page are what that looks like.
Most programs run hybrid: an in-person kickoff, virtual working sessions in between, and small cohort batches so everyone gets the attention they need and deserve.
Weekly office hours and build sessions that stay hands-on, on your real work, in groups small enough that nobody hides behind a muted mic.
In the room
Real sessions from real engagements. This is the part of enablement a slide deck cannot do.


Many of the teams we train run their whole business on Google Workspace. We teach Gemini alongside the rest of the stack, tool-agnostic and honest about where each platform is strongest, with SINA baselines making the progress visible to leadership.
Updated August 2026
Live instructor-led workshops on the Gemini app and Gemini for Google Workspace inside Gmail, Docs, Sheets, Slides, and Meet, role-specific workflows built on your real threads and documents, and Antigravity training for engineering teams. Every engagement starts with a SINA literacy baseline and ends with re-measured progress.
We train teams across both. Most programs focus on Gemini for Google Workspace, the AI inside Gmail, Docs, and Sheets that Workspace-first teams already license. If your organization is adopting Gemini Enterprise, Google's agent platform, we cover that surface too and help you sequence the rollout.
Self-paced libraries teach features to individuals. We enable teams: live sessions on your own inboxes, Docs, and Sheets, workflows designed for each role, champions inside your departments, and literacy measured before and after with SINA.
Formats range from a single hands-on workshop to multi-week cohort programs. A typical engagement starts with a SINA baseline, runs small cohort batches with working office hours between sessions, and re-measures literacy as the program runs.
Programs are scoped to team size, format, and depth, from a single workshop to firm-wide enablement, and priced against the Workspace and Gemini investment you have already made. The fastest way to a number is a short briefing where we map your teams and recommend a scope.
We are tool-agnostic and train teams on Google Gemini, OpenAI ChatGPT, Anthropic Claude, and Microsoft Copilot. If your company runs on Google Workspace, Gemini is usually the shortest path to daily AI use, and many clients pair it with a deeper platform for specific teams. We map your stack and advise honestly.
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