Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Wrong warranty answers cost roofers eaten repairs and voided coverage. Grounded assistants answer only from approved documents and show which one they used.
214 cleaners, 9 desks: why per-seat AI licensing punishes building service contractors, and what open models changed in 2026. With worked cost arithmetic.
How a community paper builds a 120-call test set from its own obituary intakes, runs an AI agent in shadow mode, and widens its authority one rung at a time.
Why the size curve and yardage commitment get guessed 14 weeks early, what the miss costs per program, and how 2026 demand models handle sparse apparel history.
Where Claude Code, MCP, and multi-agent systems are taking GTM engineering next, and how to prepare your team now for standing and multi-agent workflows.
Where Claude Cowork and the Claude agent ecosystem are heading next — standing agents, MCP, skills as a moat — and the concrete moves to prepare your team now.
Before an agent answers an AOG call, build a 250-case test set from your own call history. How aerospace suppliers gate a 2026 rollout, tier by tier.
Shipping an agentic GTM workflow is easy; proving it works is hard. The metrics, signals, and eval loops that show a Claude Code rebuild is paying off.
The metrics, leading signals, and anti-metrics that prove Claude Cowork is working — acceptance rate, time-to-outcome, and why usage counts mislead.
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