GUARDSMEN AI BRIEF

Use LLM assistants (Claude, Copilot) to summarize message threads, extract calendar constraints, and prep handoff notes. Never treat a generated summary as authoritative—keep original emails as the single source of truth for commitments and deadlines.

Tools like Claude Code let people who aren’t professional developers build working software by describing what they want. This is called AI-assisted coding, also known as vibe coding or agentic coding. It’s genuinely powerful, and we encourage our clients to experiment with it.

But there’s a big difference between a working prototype and an app that’s safe to run at an investment firm. This guide is in three parts:

• Part 1: What You Should Build — Bounded prototypes such as deal screeners, portfolio monitors, meeting assistants, and memo formatters, with defined inputs, reviewable outputs, and mandatory human approval before decisions or downstream action.
• Part 2: The Rules to Follow — Never expose production API keys or proprietary deal terms to agent prompts; isolate execution environments; and mandate human sign-off on generated logic.
• Part 3: How We Deploy It — The bridge from prototype to production: how our fractional CTO team reviews generated code, hardens security boundaries, and deploys to secure firm infrastructure.

Analysts can use AI-assisted development to test purpose-fit tools—opportunity screeners, portfolio monitoring widgets, meeting assistants, and memo templates—before proposing a larger engineering effort.

Use AI for document comparison, earnings call transcript breakdown, and first-draft investment memos. Citations and stable source links make important claims easier to verify.

Establish explicit permission barriers, approved data silos, and mandatory human review before execution. Keep proprietary deal material and client PII strictly out of public or unapproved models.