Technology
Google Gemini Testing& Development
Gemini's multimodal handling widens what a product can do and widens the surface that can go wrong with it. The evaluation work is the same in shape as any model: a dataset that represents real use, scoring that reflects what a wrong answer costs, and gates in the pipeline — extended to cover image and document inputs where the product accepts them.
Evaluation datasets covering text, image and document inputs
Retrieval accuracy where the product is RAG-backed
Prompt and model-version regression gating
Scoring weighted to the failures that actually matter
One agent run
Nine steps right, one step wrong, and the task still reports success
This is what “the agent completed nine steps and failed the tenth, silently” looks like. The run finished. The user got an answer. The answer quoted the wrong price.
- 01parse requestintent + entities extracted
- 02search knowledge base8 candidate documents
- 03rank contexttop 3 passed relevance floor
- 04call pricing API200 OK, 42 ms
- 05call inventory API200 OK, 61 ms
- 06reconcile recordsno conflicts
- 07draft responsewithin length budget
- 08policy checkno restricted terms
- 09format for channelvalid markdown
- 10apply customer discounttool returned null — agent answered anyway, quoting list price
The task ran to completion and produced a well-formed answer, so the end-to-end check is green. This is the assertion most teams have.
Illustrative agent run. The failure shape is the one described above, not a specific client system.
Questions
Frequently Asked Questions
Straight answers, written the way we'd say them on a call.
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16+
Years QA leadership
The founder's enterprise QA career across OTT, SaaS, e-commerce and regulated utilities. Not a team total.
17
Testing disciplines
Each one has its own page, scope and deliverables. Counted from that list, never typed by hand.
6
Markets served
Availability, not delivery history. Each market's page says plainly where we have clients and where we do not.
1
Business day to reply
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