Perspect is a fully-managed ecommerce service with built-in CI/CD, Stripe Checkout and webhooks.
Detailed guide on effectively using OpenAI Assistant with message and thread-specific attachments. Explains key requirements for successful integration, including the necessity of unique content references in user queries.
We do not use the full-stack capabilities of frameworks such as Next.js, Nuxt.js and SvelteKit. Therefore we do not use them as a monorepo either. Let's walk through the reasons why.
In all full-stack frameworks such as Next.js, there's often a desire to share code between the server and the client. If the boundaries are not clearly defined, server-side logic (e.g., business rules, database interactions) can mistakenly be bundled with client-side code. Again, this is not unique to Next.js but Next.js is the largest surface area in which this occurs because of its popularity.
We're thrilled to unveil Perspect Chat, a cutting-edge native chatbot solution available for all websites powered by the Perspect platform. When you update a product description or modify a page, the chatbot instantly incorporates these changes. No additional effort required on your part. Gone are the days of waiting for web crawlers to update your chatbot's knowledge - with Perspect Chat, your customers always get the most up-to-date information.
Astro is an amazing framework. Perspect is framework agnostic, but some of us have taken a particular liking to qualities of Astro that allow for both statically generated content and client-side "hydration" where it makes sense. One can even combine those two things together.
Next.js can be a great platform for building ecommerce applications but implementations can often gravitate towards the overly complex. But it does not have to be that way when deployed with Perspect. Follow along to see how we support Next.js.
Perspect now will provides content in the form of JSON files at the very beginning of the build process, so that you can read the files and build out the pages as you would like. No API call or other fetch mechanism is required. Simply read a file from the file system, parse it as JSON and then use the data.
Train a base AI model on a handful of product images and then generate an unlimited number of images of that product in any number of settings such as the Gucci pocketbook pictured here. This pocketbook was neither photoshopped nor was it photographed in Paris. A Stable Diffusion model was trained using Perspect's AI services and then that AI model was used to generate the images using simple prompts such as "Black Gucci pocketbook in front of the Eiffel Tower in early morning sunlight."
Headless commerce offers compelling advantages for businesses looking to offer a unique user experience and embrace a flexible, agile approach to content management. However, it comes with its set of challenges, notably in terms of complexity, cost, and technical demands. Organizations considering this architecture should weigh these factors carefully, aligning their decision with their strategic goals, technical capabilities, and resource availability. Ultimately, the choice to go headless should be driven by a clear vision for delivering superior customer experiences in a digitally driven market.