Key Output
Computer produced a 6-page, confidential call prep Word document by pulling data from CRM data, LinkedIn profiles, Slack for internal mentions, and other sources. It also checked Google Calendar for meeting details, and ran a web research all in parallel.
The Account Snapshot covers Aura Analytics at a glance: valuation, headcount, core product, target customers, notable logos, and tech stack.
The Who You're Meeting section profiles Shane Patel's full career arc, education, communication style, 2026 priorities, and personal interests including an open-water swimming connection flagged as a natural rapport builder.
The Funding & Board section maps $217.5M in funding across four rounds with lead investors, plus the full board and leadership team with titles and backgrounds.
The Suggested Agenda provides a five-step meeting flow from rapport-building to next steps, with specific talking points tied to the prospect's recent activity (Snowflake Summit keynote, Aura Copilot launch).
The Discovery Questions section includes seven tailored questions targeting AI adoption, decision-making processes, multi-office pain points, and stakeholder mapping.
The Objection Handling table anticipates four likely pushbacks (existing AI tools, IPO-focused budget, security concerns, international expansion costs) with specific responses framed around the prospect's context.
Tips
Link your data sources upfront:Computer works best when you point it to a specific spreadsheet, CRM export, or connected tool. A Google Sheets backgrounder, a HubSpot link, or even a CSV attachment gives it structured data to build from.
Use Skills for repeatable formats: The "sales-call-prep" skill ensures every brief follows the same structure. If your team has a standard prep template, create a custom Skill so every rep gets consistent output.
Ask for follow-up artifacts: After the meeting, say "Draft a follow-up email to Shane referencing our conversation about Aura Copilot and propose a pilot timeline" to turn the prep into post-call action.