TINLANCE / INSIGHTS

Engineering intelligence for teams building with AI.

Practical research on production AI, security, forward-deployed engineering, and enterprise automation.

RESEARCH / PRACTICE

Useful ideas should survive contact with production.

Tinlance insights focus on architecture, delivery, security, and operating models that engineering and product teams can actually apply.

03Published insights
AIPrimary research lens
FDEDelivery perspective

AI Engineering

What changes when an AI system has to run in production

Reliability, observability, security, evaluation, and human controls become product requirements—not afterthoughts.

AI engineeringproductionreliability

6 min read · 2026-08-16

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AI Security

A practical security model for AI agents

Identity, tool access, data boundaries, evaluation, and auditability form the minimum control plane for capable agents.

AI securityagentsOWASP

7 min read · 2026-08-16

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FDE

Forward-deployed engineering, explained

Why complex enterprise problems often need engineers close to the customer rather than another generic software package.

FDEenterprisedelivery

5 min read · 2026-08-16

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