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 — High-leverage, bounded tools (deal screeners, portfolio monitors, meeting assistants, and memo formatters) where failure is non-fatal and outputs are immediately human-auditable.
• 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 build purpose-fit tools—opportunity screeners, portfolio monitoring widgets, meeting assistants, and memo templates—in days using modern AI scaffolding instead of waiting on lengthy engineering cycles.

Deploy AI for document comparison, earnings call transcript breakdown, and first-draft investment memos. Strict citation tracking and deterministic source links ensure all quantitative claims are fully reproducible.

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.