Insights

Greek banks are using three different forms of AI that are often placed under the same agent label, although they do not have the same authority.

An MVP is the point at which a digital product meets reality. When the live product still cannot retain users, attract paying customers, or survive without continuous founder effort, more iteration may only deepen the loss.

In about one in five runs where a flaw came back, the AI agent had explicitly recognized the security risk and still delivered insecure code. Here's what the research shows and what you can do about it.

In a 2026 analysis, half of customers who eventually bought again placed their second order within 30 days. To find out whether your flow creates second purchases, randomly withhold it from some eligible first-time buyers and compare their results with those who receive it.

Eligible products can appear without a click charge on Google Shopping, Search, Images, Lens, YouTube, Maps and Gemini, with a free Merchant Center account. Here is how to set up free listings in 2026 and measure what they bring.

AI-referred purchases grew 656% year over year across our client portfolio, not one outlier account. Here's what's driving it and how to show up in ChatGPT.

AI agents get expensive when they keep working after they stop making progress. Prompts cannot enforce a budget. Here are the hard limits on turns, tokens, cost, time and repetition that give an open-ended loop a predictable worst-case cost.

AI agents are most useful on bounded work whose errors are easy to detect and reverse. Here is a practical way to decide what they may execute, what they may only prepare, and what must stay with a person.

An online store can carry the right product and still fail to sell it because the search engine cannot connect a shopper's words to the catalog. Where ecommerce search breaks, and how Findloom addresses those failure points with rule-based search, structured product feeds, discovery tools, merchandising controls and analytics.