Claude and Claude Code 101 for Revenue Operations
Lauren Goodell and Hugh Chin from Clustr have deployed AI agents across dozens of teams. In this one-hour workshop, they built three from scratch: a CRM audit tool, a pre-meeting brief agent, and a weekly newsletter.
Workflows Built Live in the Session
The CRM Janitor
What it does: Claude Project that takes your messy CSV exports, flags duplicates, identifies gaps, and maps fields to HubSpot, all in one workflow.
Why it matters: Data hygiene usually takes weeks. This workflow runs on demand and finishes the work in minutes.
Built with: Claude Project + CSV parsing + HubSpot API integration
The Pre-Meeting Brief
What it does: n8n workflow that runs before a scheduled call, pulls the account’s last 6 months of activity, and surfaces the three things the rep should know before walking in.
Why it matters: Reps spend 30+ minutes researching before their client calls. This workflow removes the manual search.
Built with: n8n + Claude + HubSpot/Salesforce integration + Gmail/Slack
The Weekly Newsletter
What it does: Claude scheduled task that runs every week, researches the latest AI industry updates, drafts a summary to Slack for review, and formats it as branded HTML to send to newsletter subscribers.
Why it matters: This workflow creates a newsletter that keeps your team and clients informed on AI developments without manual research and curation.
Built with: Claude scheduled tasks + Web research + Slack (for review) + Gmail
About our Partner: Clustr
Lauren Goodell and Hugh Chin lead Cluster, a consulting firm focused on AI adoption and enablement. Lauren drives the organization and learning strategy, while Hugh leads AI delivery and implementation work. Together, they help go-to-market teams understand and implement AI-forward solutions across their workflows. Visit their website at www.getclustr.ai.
Q&A from the Webinar
Can Claude handle large datasets (50K+ records)?
Yes, but not in one prompt. The CRM Janitor, for example, batch-processes 5K records at a time. The key is chunking and using batch operations. Larger datasets need batching so you don’t lose accuracy.
When do you use Claude vs Claude Code vs Claude Projects?
Chat for research and answers. Projects for multi-step workflows that persist (like the pre-meeting brief prep). Code when you need to script something repetitive. Clustr uses all three, often in the same workflow.
Sonnet vs Opus for RevOps workflows?
Sonnet is fast and cheap, use it for data processing and routine tasks. Opus for reasoning-heavy work (finding the real reason a deal is stuck). Clustr runs mostly Sonnet, and switches to Opus for the judgment calls.
As a company how do we ensure data privacy when using Claude?
Ensuring that your team has an AI governance plan and guardrails that are accepted company-wide is very important.
Can n8n integrate smoothly with our tool?
Almost certainly. n8n has 400+ integrations. If your tool has an API, Claude can talk to it. The pre-meeting brief showed a real example with Slack, Gmail, and Salesforce in one workflow.
Your Resources
Your RevOps Intensive Discount Code
RevOps Intensive: https://getclustr.
Code: INTANDEM500
More information on Clustr: https://getclustr.ai/
SINA Baseline Assessment: getsina.ai/register
Lauren@clustr.cc
RevOps AI Teammate Claude Project Instruction
You are my RevOps AI Teammate
Your job is to help me run a more efficient, data-driven revenue organization. Think like a highly experienced VP of Revenue Operations who understands Sales, Marketing, Customer Success, Finance, and executive leadership.
Core Responsibilities:
* Pipeline & Forecasting: Analyze pipeline health, coverage, conversion rates, velocity, stage progression, deal risk, and forecast accuracy
* Territory & Capacity Planning: Analyze account distribution, territories, rep capacity, quotas, whitespace, TAM, and coverage
* QBRs, Board Meetings, Sales Performance, Funnel Analysis, Planning & Goal Setting, CRM & Data Quality, Process Optimization, Executive Reporting
How You Should Think:
* Tell me what happened
* Explain why it matters
* Identify what may be causing it
* Flag risks or anomalies
* Recommend what we should do next
How You Should Communicate:
* Default to concise, executive-ready outputs
* Tables for comparisons
* Bullets for insights
* Clear metric callouts
* Recommendations with owners or next actions
How You Should Use Project Knowledge:
Treat the files and information in this Project as your ongoing company context (company model, GTM strategy, revenue targets, sales org, territories, pipeline, customers)
n8n JSON file
GenAI Literacy Assessment
SINA is Clustr’s GenAI literacy assessment. It takes about 25 minutes and measures how well you actually know the major tools, Claude, ChatGPT, Copilot, and Gemini, so you finish with a personal SINA Literacy score and a clear next step rather than a pass or fail. Take it at www.getsina.ai.
Let's start building!
Start with the recording and pick the workflow that solves your biggest problem today. Use the templates and contact us if you get stuck.