Writing about websites, questions and the systems behind them.
Two views. Sachin writes about the website owner side: product, conversion and website operations. Vishal writes about the systems side: retrieval, routing, reliability and data boundaries. No invented statistics, no invented customers.
What visitor questions reveal about your website
Every question a visitor types is a place your website failed to answer first. Here is how to read that as a content map rather than a
How to turn chat transcripts into a content roadmap
A repeatable monthly process for converting raw chat logs into a prioritised list of page briefs, without a research budget or a dedica
The questions your pricing page fails to answer
Most pricing objections are not about price. They are about missing information that the pricing page could have supplied.
Support tickets and pre sale questions are different signals
Mixing post sale support with pre sale questions produces an average that describes nobody. Separate them and both become useful.
Measuring content gaps without a research budget
You do not need a user research programme to find out what your website fails to explain. The people already visiting will tell you for
Why FAQ pages go stale and what replaces them
An FAQ page written once at launch describes the questions a team imagined, not the questions people ask. Here is how to keep one hones
Reading intent from question phrasing
How a visitor phrases a question predicts what stage they are at more reliably than the page they were on when they asked it.
Choosing what to train a website assistant on
More sources produce worse answers, not better ones. Source selection is the main quality lever you control.
One click deploy: what actually has to be true first
Embedding a widget takes a minute. Making it worth embedding takes longer. Here is the honest checklist.
Adding an assistant to a Webflow site
Where the embed goes in Webflow, what breaks, and the constraints specific to the platform.
Adding an assistant to a WordPress site
Three ways to add the embed, which one to choose, and the caching and consent issues specific to WordPress.
Keeping an assistant in sync with a changing site
Retraining cadence is a product decision, not a maintenance chore. Here is how to decide it rather than default to it.
Widget placement, and when not to show a chat launcher
A chat launcher on every page at all times is a default, not a decision. Restraint improves both conversion and how the brand reads.
Lead capture inside a conversation without killing it
Asking for an email before answering anything is the fastest way to end a conversation. Sequence matters more than form design.
When to hand off to a human, and how to decide
Handoff triggers should be written rules you can audit, not a judgement made fresh each time.
What a good handoff actually contains
Escalating a conversation without context makes the visitor start over. Here is the minimum payload a human needs.
Qualifying without an interrogation
Two questions asked at the right moment beat six asked upfront. Most qualification signal is already in the transcript.
Chat analytics that change decisions
Message volume is a vanity metric. Here are the four numbers that actually cause someone to do something differently.
Retrieval augmented generation, a practical explanation
For a website assistant, retrieval quality dominates model quality. Here is why, and what that means for where you spend effort.
Chunking website content for retrieval
Chunk boundaries decide answer quality more than chunk size does. Where you cut matters more than how big the pieces are.
Embeddings, what they do and what they do not do
Embeddings measure similarity, not truth and not relevance. Understanding the difference prevents a specific class of bad answer.
Why multi model routing exists
Cost, latency and task fit differ by query. Routing is how you stop paying frontier prices for questions that do not need them.
Measuring answer quality without a labelled dataset
You will not have a golden dataset. Two proxies get you most of the way, and both are already being generated.
Handling questions the assistant should refuse
Refusal design is a product feature. Deciding the boundary in advance is what stops confident wrong answers.
Latency budgets for a chat widget
Perceived latency is a UI problem as much as a model problem. Here is where the time goes and which parts are worth optimising.
Where your website content goes when you train an assistant
Draw the data flow before you promise anything about it. Here is the map, and the questions it forces you to answer.
Data boundaries, a plain explanation for site owners
What you can and cannot honestly tell your visitors about an AI assistant on your site, without a legal team.
What to tell visitors about AI chat and data
The disclosure that belongs next to the chat box, and how to write it without turning it into a legal document.
Retention decisions are product decisions
How long you keep conversation data determines what analysis is possible. Copying someone else's number decides your product by acciden
Reliability when a model provider goes down
Provider incidents happen. What your assistant does during one is a design decision you make now or by accident later.
Rate limits, abuse and cost control
A public endpoint that calls a paid API is a spending endpoint. Budget guards belong in the design, not in an incident review.
Questions to ask any AI chat vendor before you sign
A checklist for evaluating a website assistant, including the questions we would have to answer ourselves.