Conversation first
Ask, refine, and steer the explanation through a visible exchange.
Primary shift: intent is negotiated in the dialogue.
A product-form thought experiment
Same LLM. Different history.
What changes when intelligence arrives as a conversation instead of a better search result? Put a task through both worlds and inspect the interface decision hiding in plain sight.
The counterfactual, made inspectable.
The supplied post imagines the same LLM capabilities reaching people through Google Search rather than through a chatbot. This lens does not claim live search or model reasoning. It compares two interface paths with the task you provide.
Results first
Scan sources, then receive an integrated summary in the results page.
Primary shift: intent is expressed as retrieval and ranking.
Which world would feel more natural for this task?
Your comparison has a durable form.
The selected lens is saved in this browser. Export captures your task and the two concrete interaction paths so the thought experiment can travel outside this page.
{ "task": "Find a concise explanation...", "selected_lens": "conversation", "paths": ["chatbot", "search-native"] }One task, two fixed text paths and three interface lenses
Read the explanation
Enter a task and build the comparison. The source trims the input, then inserts the same task into two text templates: conversation and search native. At one hundred fifty pixels per count, bars compare one task with two output paths. The search paragraph describes ranked sources and a generated summary, but the page does not search or run a model. These are fixed explanatory strings, not actual answers, retrieved results or a performance comparison. Conversation, Search and Hybrid are three selectable lens keys. Clicking any one stores that choice and updates the receipt, while both output path templates remain the same. Bars compare three choices with one selected lens field at one hundred fifty pixels per count. Editing the task alone does not rebuild the result; Build, Enter, a lens click or Download does. Empty or whitespace-only input falls back to Explore a new topic. These are source interface rules, not three distinct reasoning engines. Download rebuilds the current input and exports task, selected lens, two paths inside one paths object, and the no-inference note: four top-level fields. Bars compare four document fields with one stored lens key at one hundred pixels per count. Reload restores the lens, but the task returns to its original default because it is not saved. The example button sets a predefined task and navigates to the comparison. The file remains a browser-native interface comparison, not evidence that either path was executed.