Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
DSPy compiles natural-language signatures into optimized prompts and demonstrations. MIPROv2 (Bayesian optimization over instructions + few-shot exemplars) consistently delivers 10–40% quality lift over hand-written prompts on structured tasks.
Convex's Agent component gives you persistent threads, live-updating message history, and reactive tool-call progress — all on top of websocket queries.
75% of SaaS trials never convert and 15-22% of expired trial users convert within 90 days when re-engaged. Here is the trial-reactivation voice agent build that lifts conversion 12-18%.
SMB tier-1 IT tickets — passwords, VPN, software access — represent 50–80% of volume. Here is the 2026 chat playbook that hits 60–80% autonomous resolution without breaking on edge cases.
Mistral raised $830M debt for 13,800 GPUs. DeepSeek R1 hits GPT-4 reasoning at 27x lower cost. Open-source AI market hit $23B in 2026. Where the funding is shifting.
Anthropic's prompt cache cuts cached input tokens to 0.1x base price — a 90% discount. We map the 5-min vs 1-hour TTL math, the cache_control placement rules, and the layout that drops CallSphere's Claude bill from ~$4,200/mo to ~$420/mo on a 12k system prompt.
Krisp's VIVA SDK isolates the primary speaker before STT. Wire it as a pre-processor in front of LiveKit/Pipecat for 30%+ WER drop in noisy calls.
The next phase of enterprise Claude Cowork — longer-horizon autonomy, agent-to-agent coordination, agent governance — and how to prepare today.
The metrics and signals that prove an enterprise Claude Cowork deployment works: outcome metrics, leading signals, evals, and cost per outcome.
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