Blog archive — page 1
Every CallMissed article, newest first: practical guides on AI voice agents, WhatsApp automation, LLM APIs and customer support.
26 min readLLM vendor evaluation checklist: Before Support Pilots
Use this LLM vendor evaluation checklist to verify availability, data terms, tool safety, evidence, costs, and rollback before a support pilot.
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26 min readCost per resolved ticket: An LLM Support Evaluation Guide
Cost per resolved ticket reveals true AI support value. Compare models with realistic tickets, quality thresholds, and fully loaded costs.
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27 min readLLM evaluation for customer support: An SMB Test Plan
LLM evaluation for customer support helps SMBs test accuracy, tool failures, escalation and true resolution costs before adopting a new model.
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26 min readLLM for intent classification: A Support Routing Guide
Use an LLM for intent classification to map support messages to queues, handle ambiguity, benchmark routing, and add safe human fallbacks.
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27 min readAI voice agent data privacy: Questions Before Deployment
AI voice agent data privacy starts with evidence. Get a checklist for storage, consent, retention, training permissions and prelaunch tests.
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27 min readClaude Sonnet 5.5 Review for Support and Voice Agents
Claude Sonnet 5.5 Review: evaluate support accuracy, voice latency, and cost per resolved call with reproducible tests and migration checks.
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10 min readAI Receptionist Pricing for Small Business: US vs India
Compare all-in AI receptionist pricing for small business in the US and India, covering per-minute fees and number rental. Verify quotes before buying.
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27 min readIntegrating LLM APIs: A Developer Guide to Voice and Chat
Integrating LLM APIs securely helps you ship streaming chat and voice with server-side keys, interruption handling, and reliable retries.
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27 min readWhatsApp customer support automation: India playbook
Use WhatsApp customer support automation to set up compliant flows, handle Hindi and mixed-language queries, and route complex cases to agents.
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27 min readMissed sales calls: An AI voice agent guide for India
Missed sales calls become actionable leads with AI answering. Learn Indian-language setup, human handoffs, CRM capture and an INR pilot cost model.
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26 min readAI Agent Execution: Why Support Needs Verification
Learn how AI agent execution evidence helps support teams trace handoffs, investigate errors, and distinguish signed records from correct outcomes.
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27 min readBharatGen Text Model: What It Means for Voice Agents
Understand where the BharatGen Text Model fits, compare speech-stack components, and plan practical multilingual voice-agent tests for Indian users.
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27 min readAI Adoption in Indian MSMEs: Why SMBs Move Faster on Calls
Explore AI adoption in Indian MSMEs with a practical call-automation budget, data-readiness checklist and pilot metrics to evaluate business value.
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27 min readAI Agent Access Control: A Customer-Support Safety Guide
Implement AI agent access control with support permission matrices, customer-data boundaries, human approval rules and practical rollout checks.
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27 min readLeast Privilege for AI Agents: Customer Support Guide
Implement least privilege for AI agents with support-tool permission matrices, tenant checks, approval gates and executable security tests.
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26 min readLocal Voice Agents: What IBM Granite 4.2 Means in 2026
Learn how to build local voice agents with Granite 4.2, verify offline operation, measure latency, and compare self-hosted and managed setups.
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26 min readHuman-in-the-Loop for AI Voice Agents: Safety Playbook
Implement human-in-the-loop for AI voice agents with practical approval rules, calibrated routing, reliable handoffs, and measurable QA checks.
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27 min readVoice Agent Prompt Injection Testing: Tool-Call Checks
Use voice agent prompt injection testing to validate authorization before support tools run, test attacks, and prove blocked actions never execute.
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27 min readExtracting Structured Data From Messy Text: Support Guide
Learn extracting structured data from messy text with schemas, few-shot examples, accuracy tests, and human review for safer support automation.
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24 min readBooz Allen Report: LLM Risk Checks Before Data Access
Use the Booz Allen report to assess model provenance, code vulnerabilities, data exposure and approval gates before connecting customer data.
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26 min readAI Productivity Stack: Avoid Support Tool Overload
Build a lean AI productivity stack for customer support: audit redundant tools, consolidate safely, and measure resolution quality and total cost.
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24 min readMercury 2.5 Diffusion LLM: 770 tok/s and Voice Latency
Learn how Mercury 2.5 Diffusion LLM throughput differs from voice response time, reconcile reported speeds, and benchmark your full agent pipeline.
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27 min readAgentic AI Governance: India Voice Support Safety Guide
Use agentic AI governance to map Indian compliance duties, test multilingual voice support, assign oversight and launch with safer controls.
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19 min readKimi K3 API Pricing: Customer Support LLM Comparison
Evaluate Kimi K3 API pricing against support resolution quality, hidden operating costs and deployment demands with a practical testing framework.
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