Insights Β· Technical articles & case notes

Field notes on AI agents, data and the systems around them

Practical writing from production work: what it takes to run agents, integrate systems with no API, and keep AI on infrastructure you control.

articles
29
topics
5
services covered
10
case notes from real builds
4

Articles

29 insights Newest first

2 min read

AI Agent Use Cases for Business

Realistic AI agent use cases for business β€” and the conditions that make each one actually work.

AI Agent Development Services

2 min read

How to Create an AI Agent

The architecture, guardrails, and evaluation that separate a production AI agent from a demo.

AI Agent Development Services

2 min read

AI Agent Frameworks: Practical Tradeoffs

How to weigh AI agent frameworks by what matters when you have to operate the thing.

AI Agent Development Services

Showing 19–24 of 29

Questions and answers

Questions about these articles

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What kind of articles are published here?

Focused technical explanations grounded in real platform work already documented on this site β€” covering decisions like no-API integration design, multi-tenant isolation, legacy-data reconciliation, and self-hosted AI operations β€” rather than generic industry explainers.

How are the technical claims in these articles verified?

Each article is grounded in a specific, named project documented on the Work page, and cites authoritative third-party sources where they support a general technical claim. MQ's own experience is kept clearly distinct from cited third-party documentation.

Who writes these articles?

Muhammad Muzammil Qureshi, Chief Technology Officer and Chief Operating Officer, writing directly from the architecture decisions and constraints of the platforms named in each article.

How often is this section updated?

New articles are added as real project work produces something worth documenting in this depth β€” there is no fixed publishing schedule.

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