MCP vs OpenAI Function Calling: Which to Use in 2026 Builds
MCP and function calling solve overlapping problems with different design centers. The decision framework for picking one, the other, or both in the same agent stack.
How to use AI voice and chat agents to grow revenue, cut costs, and improve customer experience — AI strategy, sales, customer service, lead generation, enterprise adoption, and real customer results.
From the blog
MCP and function calling solve overlapping problems with different design centers. The decision framework for picking one, the other, or both in the same agent stack.
Sales and RevOps Lens perspective on Stagehand 2.0 stabilized the browser-agent SDK that everyone is quietly building on top of.
Sales and RevOps Lens perspective on Retell shipped first-class knowledge bases for voice agents, removing one of the last reasons to roll your own RAG layer.
Sales and RevOps Lens perspective on Zep 2.0's Graphiti engine adds temporal knowledge graphs to agent memory — the right data structure for fact updates over time.
Clay shipped agentic outbound in 2026 — and the top 1% of sales teams rebuilt their stack around it. Here's the playbook, the credit-based pricing.
Forethought's Solve agent quietly hit 65% deflection at scale in 2026. We break down how, the per-resolution pricing. The 30-day picture for buyers and operators.
How leaders should think about Constitutional AI 3.0 — adoption patterns, ROI, competitive dynamics, and what AI safety means for the next 12 months.
Sales and RevOps Lens perspective on Claude Code 2.1 ships background agents, sub-agent spawning, and a hooks API that turn it into a true multi-agent coding platform.
Sales and RevOps Lens perspective on Haiku 4.5 closes the gap with Sonnet on tool calling while staying cheap and fast — the right pick for high-throughput voice and chat agents.