Debugging Claude agents in finance: loops & bad tool calls
Catch infinite loops, wrong MCP tool calls, and hallucinated arguments in Claude financial agents — with traces, loop breakers, and strict argument validation.
8 min read
Archive page 471 of 1224
AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
11,016 articlesArchive page 471
From the blog
Latest articles
Prompt and Context Design for Claude Finance Agents
What to put in a Claude financial agent's context, what to leave out, and why — minimal masked data, fenced untrusted input, and audit-ready prompts.
7 min read
Wiring MCP Servers Into a Claude Financial Agent
Wire tools and MCP servers into a Claude financial agent the right way — server-held auth, typed schemas, structured errors, and idempotent writes.
7 min read
Claude Agent Patterns for Finance: Prompts, Tools, Context
Reusable code-level patterns for Claude agents in finance — layered prompts, verb-shaped tools, cited-evidence context, and deterministic guardrails.
7 min read
Build a Claude Financial Agent: A Step-by-Step Guide
A concrete walkthrough for building a Claude agent that answers account questions and runs guarded transfers — tools, entitlements, idempotency, and audit.
7 min read
Claude in Financial Services: The Agent Architecture
How a production Claude agent for financial services fits together — ingress, policy gates, MCP tools, context assembly, memory, and the audit trail.
8 min read
Llama Guard 4 vs OpenAI Moderation API — Seattle Builders Take
How Llama Guard 4 compares to OpenAI's Moderation API on accuracy, latency, and cost — for both open and closed model deployments. Practical context for teams in Seattle, WA.
7 min read
Enterprise AI Compliance in 2026: Life After CAISI Agreements
How CAISI-era government testing changes enterprise AI compliance — what's required, what's optional, and where AI voice/chat fits in.
8 min read
Call Sentiment Time-Series Dashboards for Voice AI in 2026
Sentiment is not a single number per call - it is a curve. The shape (started positive, dropped at minute 4, recovered) tells you what your AI did wrong. Here is the per-utterance sentiment pipeline and the dashboards we ship by vertical.
12 min read
Subscribe to our newsletter
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Ready to see AI voice agents in action?
Try our live demo -- no signup required. Talk to an AI voice agent right now.