Today, we are happy to announce the release of PullString Converse 1.1!
This is the second post in our blog series, “the Conversational Marketer,” about the impact voice assistants are having on digital transformation and marketing strategies.
We are starting a blog series, “the Conversational Marketer,” about the impact voice assistants are having on digital transformation and marketing strategies. This is the first post in the series
This blog post is the first in a series of articles that will go into depth about the underlying technology being developed at PullString, Inc. We kick off the series by talking about the Conversation Cloud, the scalable runtime infrastructure that powers all of our customers' voice apps.
Today, we are happy to announce the release of PullString Converse 1.0!
Oren Jacob, CEO and co-founder of PullString, will be speaking this Thursday at 11am Pacific about building convincing conversational experiences with the technology around us. This free webinar is designed for people interested in building voice experiences for Amazon Alexa, Google Home, and other voice-first platforms.
There are some exciting new Amazon developer features currently in beta. Keep ahead of the pack by considering how these initiatives could impact future skill designs. Here’s a rundown of what we anticipate 2018 has in store!
Amazon announced that the Amazon Echo Dot was the number one selling product globally, from any manufacturer, in any category, over the past weekend!
We are excited to announce PullString Converse today.
Today marks a big step forward in PullString’s efforts to deliver an exceptional platform for computer conversation that lets our customers, and everyone, talk effortlessly with the technology around them.
Nickelodeon is a global entertainment brand whose newest digital experience, The SpongeBob Challenge, is one of the first-ever, kid-directed Alexa skills and aims to follow the company’s mission to make the world a more playful place.
Writing computer conversation is a creative endeavor that combines many skills. At PullString, our aim is to build a platform that supports and enhances those skills, while giving users the benefit of our experience producing and hosting some of the best-in-class bot experiences to date. One of the best examples of where our tools make the biggest difference is in anticipating what a user will say, or the art of authoring intents.
Think about how hard it is to maintain a text or voice assistant. A service like Siri has to respond to a huge number of different inquiries across an ever-expanding list of domains, such as travel, music, scheduling, reminders, texting, photos, search, sports, entertainment, and more. Apple doesn’t publish a complete list of what Siri can respond to, but it’s not hard to imagine that there are many thousands of possible variations of questions that Siri can answer. Now think about the problem of maintaining all of that carefully-crafted behavior, i.e., manually curating and training all those intents, while also trying to add support for new queries. How can you be sure that any new features won’t break existing behavior?
For example, consider a personal assistant that can understand a user saying “I’m feeling great” and responds appropriately to that statement. Then at some later point, someone extends this bot with the ability for users to specify their name in a format like “I’m Joe Bloggs”. That new feature works as intended so it’s deployed to production. But then you get feedback from your users that if they say “I’m feeling great” the assistant responds erroneously with “Hello! I’ll call you Feeling Great from now on.”.
Even for conversational experiences that are not as deep as Siri, the complexity and inherent ambiguity of the human language means that it can be very easy for changes in intent definitions to have unintended consequences on things your bot could respond to earlier. So how can you, as a bot designer or conversational writer, feel confident that as you evolve and improve your intent models over time they don’t break key workflows that your users expect will work? In the software development world, this problem is addressed using a combination of automated and manual testing, and for any nontrivial system automated testing is critical. Similarly, we believe that having automated tests for your conversational flows is critical for maintaining your bots over time.
How to make transactional experiences on bots more successful.
What would Socrates think about chatbots? Would he suspend his own disbelief and play along with them, or would he constantly try to poke holes in the dialogue limitations? Would he consider chatbots to be impersonal, or would he revel in both their innate logical design combined with human authorship?
PullString is pleased to announce support for Workplace by Facebook, a mobile first communications and collaboration platform for organizations to get more done. We are proud to be a partner that lets conversational UX designers and developers easily publish computer conversations to Workplace with PullString's industry leading conversational IDE that allows deep integration of context, content, and intent.
PullString already the world's best platform for crafting deep, organic conversation. Now, bring your PullString projects to the Workplace platform to allow businesses and teams to engage in a whole new way.