Build a Claude Finance Narrative Agent: A Walkthrough
A step-by-step engineer's walkthrough to build a Claude agent that drafts grounded month-end financial commentary, from ledger ingestion to verified sign-off.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
A step-by-step engineer's walkthrough to build a Claude agent that drafts grounded month-end financial commentary, from ledger ingestion to verified sign-off.
How a Claude-powered finance agent turns close numbers into an auditable narrative — ingestion, deterministic math, retrieval, and verification end to end.
Where agentic security with Claude Opus is heading: multi-agent fleets, MCP standardization, attacker parity, and the 90-day steps to prepare your team.
Where connecting Claude to security and compliance tools is heading: a standard MCP tool fabric, server-managed agents, continuous compliance, and multi-agent coordination.
The metrics and signals that prove a Claude Opus security agent works: recall, precision, override rate, calibration, and the eval loop that gates autonomy.
The metrics that prove connecting Claude to security and compliance tools works: precision, recall, calibration, human-override rate, time-to-action, traceability.
End-to-end: putting Claude Opus to work on a phishing campaign, from inbox flood to a shipped, eval-gated triage workflow with human approval for containment.
A realistic walkthrough connecting Claude to compliance and security tools — from a SOC 2 evidence problem to a shipped, eval-gated, audited agent in production.
Failure modes, blast radius, and containment controls for Claude Opus in cybersecurity: action tiering, least privilege, kill switches, and injection defense.