Insights
Practitioner writing on Service as Software, forward deployed engineering, and what it takes to move AI from prototype to production. No hype, no fabricated numbers: what we see building and running real systems.
Service as Software: sell the outcome, not the tool
Service as Software is software that delivers a finished outcome instead of a tool a human must operate. Here is how it works, how it differs from SaaS, and how to buy it well.
Forward Deployed Engineering: The Delivery Model AI Actually Needs
Forward deployed engineering puts senior engineers inside the customer's real workflow. Here is where the model came from, why AI work demands it, and how to run it well.
Why AI pilots die at the demo
The demo optimizes for wonder. Production optimizes for trust. The gap between them is operational, not model quality, and it is why most AI pilots never ship.
SaaS vs Service as Software: what actually changes
SaaS sells you a tool and leaves the work to your team. Service as Software sells you the finished work. Here is what stays the same, what flips, and what to ask a vendor.
Make vs Lindy vs Brahmalabs: choosing a hosted AI automation platform
Hosted AI automation platforms trade control for speed. We compare Make, Lindy and Brahmalabs honestly: integration-heavy workflows, assistant-style agents, and production agent operations with approvals and audit trails. Full disclosure, Brahmalabs is ours.
n8n vs Dify vs Mastra: choosing a self-hosted AI automation stack
Self-hosting your AI automation stack buys data control and freedom from vendor lock-in, but it also makes you the vendor. We compare n8n, Dify and Mastra honestly: what each one is, where it shines, and where it is the wrong choice.