Field notes from the founders and engineers at Sunday Labs on AI strategy, data platforms, agents and shipping to production.
A practitioner's comparison of data lakehouses and data warehouses, covering architecture, cost, governance and AI workloads, with a decision guide for mid-size companies.
What India's Digital Personal Data Protection Act, 2023 means for AI projects, and a practical checklist for building compliant models and GenAI systems.
How to evaluate LLM applications properly: golden datasets, metrics that matter, LLM-as-judge done safely, regression testing and production monitoring.
A 25-point FinOps checklist for cutting cloud waste without slowing engineering, covering visibility, rightsizing, commitments, storage, Kubernetes and governance.
A practitioner's guide to taking enterprise AI agents from demo to production: scope, architecture, guardrails, evaluation, security and rollout.
A practical guide to AI implementation cost: the real cost drivers, indicative ranges by project type, the running costs people forget and how to budget sensibly.
Sunday now runs as two brands. Sunday Labs does AI and data consulting. Sunday is an AI-powered hiring platform. Here is why, and what it means for you.
Our AI and data consulting business is now Sunday Labs. Same team, same founder-led way of working, and a name that says how we work.
RAG gives a model the right knowledge; fine-tuning changes how it behaves. A clear comparison and decision guide for choosing between them, or using both.
What AI consulting services in India should actually deliver, how to evaluate firms, the questions to ask and the red flags to watch for before you sign.
A scored AI readiness assessment checklist covering strategy, data, technology, people and governance, with a simple rubric and guidance on what to fix first.
Most AI pilots stall before production for predictable reasons. Here is how to spot them early and design pilots that are built to ship.
A practical comparison of managed DevOps services and in-house teams, covering cost drivers, coverage, control and the hybrid model most growing companies end up with.
