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Analysis, guides and hands-on insights on Automation & AI by Evocative.
Most AI agent demos impress in a boardroom and collapse in production. Here's how we design agents that actually earn their keep.
OpenAI's rapid-fire model releases promise huge gains—but the real story is in the benchmarks you can't verify and the agents that silenced their own safety alerts.
October's AI news reveals a clear shift: agents and embodied AI are moving from demos to governed, accountable systems that plan and act in the real world.
Behind the race for always-on AI agents, Anthropic is quietly rewriting the terms of the deal. Here's what every team using Claude needs to know.
The same AI model can post wildly different benchmark scores depending on the harness around it — here's why the wrapper matters more than the weights.
The gap between a dazzling AI demo and an agent that survives production is where most projects quietly die. Here's how we close it.
How no-code platforms and AI agents now handle the work that once required custom code — and where human judgement still matters.
The gap between a dazzling AI demo and a reliable production agent is where most projects die. Here's how we close it.
Persistent memory, safe execution and clear liability are what separate a demo agent from one you can run in production.
Most AI agents dazzle in a demo and collapse in production. Here's how we design agents that actually move business metrics.
Impressive AI demos are easy. Agents that survive contact with real operations are not — here's how we build the second kind.
A senior view on how growing teams pair Salesforce with Zapier to automate revenue operations without breaking production systems.
Impressive demos rarely survive contact with production. Here's how we build AI agents that hold up under real workloads and deliver measurable outcomes.
Agentic workflows move beyond single triggers to orchestrate multi-step, AI-driven processes—here's how to build them without breaking your stack.
The gap between a slick AI demo and an agent that survives contact with real operations is where most projects quietly die. Here's how we close it.
A senior consultant's practical read on the AI software landscape of 2026—what's real, what's hype, and where to place your bets.
The gap between an AI agent that dazzles in a demo and one that survives Monday morning is where most projects quietly die. Here is how we close it.
Building an AI agent is easy. Governing one that acts on your behalf, holds memory, and touches customer data is the real work.
A senior consultant's guide to picking the right automation platform in 2026 — from Zapier and n8n to Power Automate, UiPath and Pipedream.
The gap between a dazzling AI demo and a system that survives Monday morning is where most projects quietly die. Here is how we bridge it.
A demo impresses a room for ten minutes; a production agent quietly saves a team ten hours a week. Here is how we build for the second outcome.
AI agents have moved past the chatbot phase. The real value now lies in getting them to act reliably inside your operations.
Most AI agent projects impress in a demo and collapse in production. Here's how we build agents that earn their keep.
80% of enterprises now embed an AI agent — but only a third run one in production, and 40% of agent projects will be scrapped by 2027. The honest 2026 picture for SMEs.
Voice AI has crossed the realism threshold. In 2026, small teams use it to answer calls, qualify leads and book appointments around the clock. Here's what's now possible — and where to start.
Admin is the silent tax on small businesses. In 2026, a few well-placed automations can take invoicing, reminders and reconciliation off your plate almost entirely.