Engineering deep dives
How we actually built it — architecture, trade-offs and the parts that didn't work.
Try “KYC”, “Bedrock”, “Claude”, “insurance” or “ISO”.
Learn
Practical writing on agents, RAG, cost, security, and delivery — from production experience.
The blog
Engineering insights, AI trends and best practices from the Skugal team.
How we actually built it — architecture, trade-offs and the parts that didn't work.
What new releases mean for production systems, tested before opined.
Postmortems and patterns from real engagements, anonymized honestly.
Short, opinionated takes on recurring design decisions.
What's inside
Every author ships production AI for a living. The blog is where the lessons land while they're still warm.
Deep dives
Long-form engineering posts: eval harness design, agent state management, retrieval debugging — including the approaches we abandoned and why.
// Route work to the right model const result = await ai.run({ task: "contract_review", context: retriever.fetch(doc), guardrails: ["pii", "grounding"], fallback: "gpt-4.1", });
Field notes
New model drops, framework churn, pricing shifts — assessed by running them against live workloads before writing, so takes come with evidence.
Short takes
Five-minute reads on recurring debates: build-vs-buy, when multi-agent is overkill, why your RAG plateaued — sharp enough to be useful, sourced enough to argue with.
Popular reads
The retrieval-first debugging sequence.
What separates demos from systems.
Why every prompt change needs a scoreboard.
The honest decision criteria.
Where the money goes and how to stop it.
Tool integration lessons from the field.
Delivery
Practical guides and tools from teams who ship production AI — so your next decision is grounded in real delivery experience.
Understand readiness, risks and opportunities.
Use playbooks, guides and architecture patterns.
Prioritize the right build path.
Partner with Skugal to ship confidently.
FAQ
RSS and a monthly digest email — no daily noise.
From practitioners with production stories, occasionally — pitch us.
Yes, with attribution — sharing in team channels is exactly the point.
Next step
Practitioner writing, weekly — no hype, some scars.