Pyflo is a different kind of search engine

Most of us have had the same frustrating loop: your sink is leaking, your laptop is overheating, or you want to cook something new — and the first page of Google is a wall of content farms, sponsored guides, and affiliate listicles padded with fluff. You scroll past three of them before anyone answers the actual question.

Pyflo exists to skip all of that. Type a problem in plain language. Get the fix. Get the exact list of things you need to buy. Done.

How it works

You type a question the way you'd ask a friend — "my kitchen sink is leaking from the base", "best laptop for a design student under $1500", or "how do I make cornbread that isn't dry". Pyflo reads your question, figures out what you actually need (quick fix vs. long-term repair, skill level, dietary needs, region-appropriate stores), and returns a structured answer with:

• A step-by-step solution, written in the tone of someone who has actually done the thing — opening with the most common mistake people make.
• A curated list of products or supplies, with prices, tradeoffs, and links to stores that actually carry them in your country (Canadian users see Canadian Tire and Superstore before Amazon; US users see Home Depot and Target).
• Follow-up questions that would change the answer — so you can narrow in without re-typing a new query.

Why the answers are good

Three boring reasons:

1. We use a frontier AI model instead of whatever's cheapest. That single choice is the difference between "generic three-bullet answer" and "oh, that's actually useful".
2. We verify product recommendations. The model names real products, we check the retailer list is geographically appropriate, and we strip anything that doesn't actually exist or can't be bought. If the model tries to list a fictional gadget, we catch it before it reaches you.
3. We cache good answers forever. Once a question is answered well, we remember it. Later we re-test the answer against the current web to make sure it hasn't gone stale — if the world changed, the answer updates.

What makes Pyflo different

Private by design

Your queries aren't indexed. We don't publish your question to Google as a "/solve/how-to-stop-my-cat-from-scratching-the-couch" URL like most search wrappers do. Every answer has a random, unguessable share URL only visible to people you give it to. If you share it, great; if you don't, nobody else sees it.

Local-first recommendations

For groceries and perishables, we put local stores at the top of the list instead of Amazon. Buttermilk and flour should come from Superstore or Metro, not shipped from a warehouse. For cookware and tools, Amazon leads. The order follows what actually makes sense for the category.

Honest monetization

Pyflo makes money two ways: affiliate commissions when you click through to a retailer, and display ads supplied by Google. Neither affects the answer you get — we recommend the same products whether there's a commission or not. Advertising is labeled as such and never shown next to sensitive queries (health, finance, crisis topics). Full details in our advertising disclosure.

How we use AI (and what we don't do with it)

Pyflo is upfront about being AI-assisted. The model that drafts the step-by-step answer is a frontier AI model; product names go through a second-pass validator and price/availability checks against the live retailer search. Every answer carries a visible source ribbon listing the web pages we fed to the model — you can click through and verify.

What we deliberately don't do:

• No automated content for SEO ranking. Pyflo's answer pages are private by default (random share-token URLs); they're not published to Google as long-tail SEO bait. Only a small curated featured set is publicly indexable.
• No invisible AI on top of someone else's words. When we use a quote, summary, or snippet from a web source, the source is listed in the ribbon below the answer.
• No autopilot for sensitive topics. Medical, legal, financial, and crisis-adjacent queries route through a stricter system prompt and never display ads. We are informational; consult a licensed professional for decisions that matter.
• No training on your queries. Pyflo doesn't fine-tune or train models on user inputs. Queries hit our AI provider's API and their data-use policy applies — see our Privacy Policy for specifics.

This disclosure exists in part because Google's policies require sites using AI-generated content to make that fact visible. We agreed with the sentiment before the policy existed — pretending an AI didn't write the draft just makes the answer harder to verify.

Support

Need help? Reach out to agent@pyflo.com.