Building an Eval Harness Before Your First LLM Feature

Straight answer: Building an Eval Harness Before Your First LLM Feature — a field note from Shriram IT Ventures for engineering and product leads who need decisions, not another framework essay.

Who this is for

Ignore the buzzwords. For Building an Eval Harness Before Your First LLM Feature, the hard constraint is usually data ownership or ops capacity — not how many features fit on a roadmap slide.

Decisions that still look smart in 18 months

Ship a thin vertical slice, measure, then widen. Big-bang rewrites rarely survive the first month of real traffic.

Build checklist we actually use

Use boring technology where the risk is operational. Save novelty for the one wedge that makes the product worth buying.

Failure modes we keep seeing

Use boring technology where the risk is operational. Save novelty for the one wedge that makes the product worth buying.

How we measure rollout

Ship a thin vertical slice, measure, then widen. Big-bang rewrites rarely survive the first month of real traffic.

We update this when delivery patterns change on live client work.

How we apply this at Shriram IT Ventures

We implement this across client launches from Greater Noida with measurable checkpoints — weekly demos, written ADRs, and published case study metrics. Not as a PDF recommendation that never ships.

Next steps

If this matches your roadmap, book a discovery call with Satyendra's team or explore our services and case studies.