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2 contributions to Anthropic Claude Architects
09/09 Question of the Day
A Customer Support Agent uses tool-use 'extract_ticket_info' for parsing inbound emails. The tool occasionally returns null for all fields. Which is the BEST diagnostic step? Select your answer in the poll below 👇 — and if you'd like, share your reasoning in the comments! I'll reveal the correct answer and the why tomorrow.
Poll
7 members have voted
09/09 Question of the Day
0 likes • Sep 9
B — and the diagnostic sequence matters. Null-all-fields from a tool call is almost always a content or schema signal problem, not a temperature or prompt-forcing problem. Debug order: 1. Pull 3-5 failing emails — look for what they have in common (format, encoding, missing structure) 2. Compare your schema against the actual email patterns. Asking for ‘ticket_number’ when the email says ‘case_id’ is enough to null everything 3. Check for truncation — long emails can push the relevant content out of the extraction context Lowering temperature (A) increases consistency but won’t fix null-all-field returns. Retrying (C) won’t help because schema mismatch is deterministic. Adding ‘must populate’ instructions (D) is the worst option — it teaches the model to hallucinate values rather than return honest nulls.
I automated a client's lead follow-up — they went from 2 to 9 deals/month 🤖
Here's the exact automation I built (Claude + GHL + n8n): → Lead comes in from any source → Claude AI crafts a personalized SMS within 60 seconds → No reply in 2hrs → auto email → No reply in 24hrs → AI voice agent calls them → All tracked in CRM automatically Runs 24/7. ZERO manual work. Result: 2 deals/month → 9 deals/month in 90 days. Drop 🔥 below — I'll share the full workflow for free. — Sushanta | Claude + n8n Automation Expert 🇧🇩
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Sushanta Paul
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@sushanta-paul-3807
Automation Expert | GoHighLevel & n8n Specialist. Helping businesses save time, automate workflows, and grow smarter with AI-powered solutions.

Active 8h ago
Joined Jun 18, 2026
Dhaka, Bangladesh
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