Blog
Short, practical posts on apps, data, and AI that stay close to real systems—not just headlines.
What we write about
Patterns for shipping production apps and integrations with CI/CD, performance budgets, accessibility, and observability baked in.
Modern data stack decisions, metrics modeling, freshness SLOs, and making dashboards actually useful.
Agentic AI in production: retrieval, guardrails, AgentOps, costs, and real‑world failure modes (and how to handle them).
Best fit
Executives who want to understand risk, ROI, and trade‑offs
Engineering leaders who care about reliability and velocity
RevOps, CX, and Data leaders tasked with “figuring out AI”
ICs who want language they can take into planning meetings
best fit for teams who want:
- Better questions to ask vendors and internal teams
- Realistic expectations about AI, data, and delivery
- Concrete patterns rather than generic “digital transformation” talk
How to use it
1
Scan topic categories (Build, Connect, Automate, SLOs, AgentOps).
2
Read posts tied to your current projects and pains.
3
Apply the checklists or questions in your own context.
4
Share with stakeholders to accelerate alignment and decisions.
Frequently
Asked
Questions
FAQ
How often do you publish?
When we have something genuinely useful to say—not just to fill a calendar.
Can we request topics?
Yes. Mention the pattern or problem when you reach out, and we’ll consider writing about it.
Ready to move from reading about AI to running it in production?