Today, I’m excited to announce a collaboration between Geekwise Academy and Amazon Alexa. Geekwise Academy is an accelerated training program for current and aspiring technologists in Fresno, California. Geekwise Academy gives students in this area an opportunity to fulfill their dreams by way of providing the latest in technical training.
Since opening their doors in June 2013, Geekwise Academy has educated more than 3,500 students in the areas of robotics, video game design, web design, and application development. Starting July 25, Geekwise Academy students will be able to attend the first Amazon Alexa Skills Course in Fresno, California. During the four-week in-person training, students will learn about the Alexa Skills Kit to develop new voice user experiences called "skills" for Alexa. Alexa is the voice service that powers the popular Amazon Echo and other Alexa-enabled devices like the Amazon Echo Dot and Amazon Tap. Students will gain expertise in voice design and work on their own voice user interactions with the goal to get their Alexa skills live in the Alexa App upon certification.
The training program will cover various topics including setting up a development environment, building the interaction model of a skill, testing and debugging, using AWS Lambda for hosting source code, handling queries to third-party APIs, and connecting to custom hardware. A little bird (Geekwise Academy’s nerdy owl mascot) tells us there will be an exciting robotics project included in the Alexa curriculum!
The course will be held at Geekwise Academy within the Bitwise South Stadium technology hub in Downtown Fresno – home to over 100 technology companies. Sessions will run three hours per day, five days a week, for four weeks.
Sign up to save your spot.[Read More]
Imagine a group of you gather for an impromptu meeting, and Alexa not only tells you what conference rooms are available but also schedules the room of your choice. That’s the vision behind an Alexa skill in development at Beco (check out the proof-of-concept demo), and it demonstrates the enormous potential for Alexa to deliver new experiences, efficiencies, and value in the workplace.
The Beco skill is a location-aware office assistant that combines the natural ease of a voice user interface with the building intelligence of Beco. It’s a mobile platform that uses existing light fixtures to power low-cost iBeacons, a mobile SDK, and cloud services that enable enterprise systems. For clients across sectors, Beco provides indoor positioning, location analytics, and the ability to search for people and places in real time. Learn more about Beco (pronounced “Bee-Co”—and stands for “Be Connected”) here.
The Beco-Alexa skill communicates with a NodeJS application deployed on AWS Lambda. Given a query from Alexa, the NodeJS application maps a person’s name to an email address using a lookup table. Beco provides extensive People vs. Place vs. Time query functionality via a real-time Occupancy API. This RESTful web service allows introspection of a variety of hyper location data.
The skill requires the use of custom-slots in its intents, because people typically give numbers as ordinals (“the 16th floor”) rather than cardinals (“floor 16”). Following are the intents available now and some of their corresponding sample utterances.
Uses the “find by email address” endpoint to find the “Place” where the mobile device of the person-to-be-found is currently located, then speaks the name of the Place.
Uses the “what spaces are free/utilized” endpoint and speaks back the names of those free Places.
The Beco team envisions expanding Alexa integration to include these capabilities:[Read More]
We are excited to introduce a new way to help you quickly build useful and meaningful skills for Alexa. The new flash cards skill template makes it easy for developers and non-developers to create a skill similar to ‘Chemistry Flash Cards’, ‘Language Flash Cards’, ‘Exam Prep’, etc. This template leverages AWS Lambda and the Alexa Skills Kit, and provides built-in business logic, uses cases, error handling, and help functions for your new skill. You just need to come up with a flash card idea (like ‘Anatomy Flash Cards’), plug in your flash cards content and edit the sample provided. Don’t worry! We’ll walk you through how it’s done.
Using the Alexa Skills Kit, you can build an application that can receive and respond to voice requests made to Alexa. In this tutorial, you’ll build a web service to handle notifications from Alexa and map this service to a skill in the Amazon Developer Portal, making it available on your Echo, Alexa-enabled device, or Echosim.io for testing and to all Alexa users after publication.
When finished, you'll know how to:
• Create a flash card based skill - This tutorial will walk first-time Alexa developers through all the required steps involved in creating a flash card based skill.
• Design a Voice User Interface - Creating this skill will help you understand the basics of creating a working Voice User Interface (VUI) while using a cut/paste approach to development. You will learn by doing and end up with a published Alexa skill. This tutorial includes instructions on how to customize the skill and submit for certification. For guidance on designing a voice experience with Alexa you can also watch this video.
• Get your skill published - Once you’ve completed your skill, this tutorial will guide you through testing your skill and sending your skill through the publication process to make it available for any Alexa user to enable.
You will also need an AWS account and an Amazon Developer account. To get a refresher on how to do this, or if you are new to skill development, you can visit our training page to review our past tutorials. This tutorial is built on the trivia template.[Read More]
Today, we are happy to announce the Internet of Voice (IoV) Challenge on Hackster.io, a developer community dedicated to learning hardware.
We’ve partnered with Hackster.io and Raspberry Pi to challenge DIY artisans of the world to build compelling IoT voice experiences using Raspberry Pi and Amazon Alexa. Makers have already started inventing new IoV products. We’ve seen people open and close their blinds and fully control RGB lights with Alexa. Now, we are excited to see what you can invent. Learn more about the contest and hear from Eben Upton, co-founder of Raspberry Pi.
The contest will be split into two categories:Read More]
This post introduces Flask-Ask, a new Python micro-framework that significantly lowers the bar for developing Alexa skills. Flask-Ask is a Flask extension that makes building voice user interfaces with the Alexa Skills Kit easy and fun. We'll learn it by building a simple game that asks you to repeat three numbers backwards. Knowing Python and Flask are not required, but some experience programming will help.
If you prefer the video walkthrough of this post, check it out here.
To start, you'll need Python installed. If you're on a recent version of OS X or Linux, Python comes preinstalled. On Mac, you can find installation instructions here. You may also need to install pip, which can be found here. On Windows, follow these installation instructions. Once Python and pip are installed, open a terminal, and type the below command to install Flask-Ask. Note: You might need to precede it with sudo on Unix if you get permission errors.[Read More]
When Sébastien de la Bastie, Managing Director at Invoxia, walked the exposition floor at CES 2015, he knew his company had a hit on its hands. That’s when the French technology start-up previewed Triby—a new smart speaker for the kitchen.
Triby is a portable yet connected device for your smart home. Triby’s integration of AVS gives it voice control over a growing world of digital devices and services. It’s an incredible wireless music system for Spotify, FM and internet radio, and Bluetooth streaming. And it’s also a family’s home communications hub. Triby provides a connected message board, free internet calls and conference-quality, hands-free mobile calls. It also has an e-paper screen to display digital sticky notes and other information.
Paul Bernard, Director, Corporate Development and Head of the Alexa Fund, also saw the CES demo and was impressed with Invoxia’s vision for reinventing home communications with the Triby. He saw the device as an ideal candidate for Alexa Voice Service (AVS) integration. Soon afterward, Amazon approached de la Bastie about adding new capabilities to his device.
With AVS, Triby would have access to the world of voice-enabled services offered by Amazon. “Amazon had the idea of making Alexa available on non-Amazon devices,” said de la Bastie. They spotted us because we had developed innovative technology for far-field voice capture. That’s important for any device sending acoustic data to Alexa.”
In late 2015, Amazon’s Alexa Fund made Invoxia its first AVS-related investment, showing its support for the company’s vision of bringing voice to Triby. Thus began a strong, collaborative partnership to create the first non-Amazon, Alexa-enabled device. The new Triby debuted in April 2016.
de la Bastie says he recalls the project involved three distinct phases.[Read More]
When I was first introduced to Zach Feldman, Chief Academic Officer and Co-Founder of The New York Code + Design Academy, I knew I was talking with an Alexa connoisseur. Before Amazon publicly released the Alexa Skills Kit, Zach was talking about how to add capabilities to Alexa. Couple this with publishing alexa-home, a popular project on GitHub to use Amazon Echo to control home automation software, before we even released the Smart Home Skill API. Zach has always shown a keen interest in the voice space. Fast forward a year later, it made complete sense to bring Zach’s knowledge of Alexa development to The New York Code + Design Academy.
Today, I’m excited to announce a collaboration between The New York Code + Design Academy (NYCDA) and Amazon Alexa. NYCDA has been training developers – at all levels – with hands-on, intensive workshops in web and mobile app development for the past three years.
This summer, NYCDA students will be able to attend the first in-person training on building Alexa skills with Ruby and Sinatra as the language and framework of choice. Students will begin by gaining an understanding of the Alexa Skills Kit (ASK). From there, they’ll move on to building an Alexa skill together as a class with both a simple skill and one that accesses an external API. They’ll be able to test their voice user experiences with Amazon Tap speakers, Alexa-enabled devices provided by the school. The course will wrap up with an independent final project and will walk students through the process of certification and publication of their first Alexa skill. Classes will run from August 9, 2016 through September 27, 2016. To enroll, students can apply here.
Wait, there’s more. Zach will be hosting a free lecture on the Alexa skill infrastructure and what goes into building your first skill on June 21, 2016 at 6:30 p.m ET at NYCDA’s headquarters in New York City. If you’re in the area don’t miss this opportunity to meet him, learn more about Alexa skill development, and ask questions about NYCDA’s 8-week Alexa course. Save your spot.
“Amazon Alexa is one of the most compelling new software and hardware integrations I've seen in a while! I can't wait to bring the power of Alexa to our students and the Ruby development community.” - Zach Feldman, Chief Academic Officer and Co-Founder of The New York Code + Design Academy
Learn more about the Alexa course from NYCDA here.
We launched the Alexa Skills Contest on Hackster.io in April. Two months later and we’ve reached the successful close of this developer contest. With 760 contestants and 100 published Alexa skill projects, innovative developers showed us how to use voice to remotely turn on a car, track the International Space Station, and more.
The best part is that each project’s instructions and source code are available on Hackster.io. Check out all the project submissions and see how contest participants used the Alexa Skills Kit to enable voice experiences in everyday connected lives.
First, thanks to all the participants in this contest. The high quality of submissions made selecting winners a difficult decision. Contest submissions were scored on a variety of variables, including creativity, documentation, media quality, skill publication in the Alexa app, and more. Here are the top three winners and some honorable mentions.
An Alexa skill that helps you become an expert at Morse code. Encode any name and learn from among more than 2500 codes.
An entertaining, easy-to-understand game that uses voice interactions to reach beyond the Echo. Bringing families and friends together for a good laugh.
Dodge torpedoes as you hunt submarines in this multi-player interactive game for Alexa.
Who Represents me?
Find out who represents you in Congress and Senate by searching by your zip code.
The Pianist is your personal music assistant. Use it to help tune your instrument and warm up your vocals.
Who doesn’t like pictures of cute animals? Daily Cutiemals will send cute animal pictures straight to your email.
Tracker for ISS
Where is ISS right now? The ISS Tracker Alexa skill will calculate its status as it orbits around the Earth at faster-than-a-bullet speed.
Costa Rica News
Costa Rica news will get you the latest news from Costa Rica, all the information comes from local trusted sources like newspapers.
An Alexa skill that retrieves the current performance of publicly traded stocks using company names.
Alexa Hurricane Center
Get the the latest data on tropical storms or learn more about storms from prior years.
Don’t forget to check out all the great Alexa projects on Hackster.io. It’s a great way to learn how to build your own Alexa skills and get inspired.
Ready to build your own Alexa skill? Build an Alexa skill with Node.js.
June 16, 2016 Update: After we posted the initial list of winners yesterday, it was brought to our attention that the contest rules allowed for additional winners. This blog post has been updated to reflect the additional winners.
Experiences designed around the human voice will fundamentally improve the way people use technology. The Alexa Fund—named for the cloud-based voice service that powers Amazon Echo—provides up to $100 million in investments to fuel voice technology innovation from developers, manufacturers, and start-ups of all sizes.
Today, Alexa Fund recipient Luma Inc. announced that its home WiFi system is available for purchase and will begin shipping to preorder customers. Luma’s routers create a mesh network that surround the home with fast and secure internet to eliminate dead zones and buffering and to safeguard connected devices. You can pre-order your Luma device today on Amazon.com for $149. Luma also plans to create fun and unique Alexa skills for Luma customers. The skill will be released in the coming weeks and will initially allow Luma customers to pause and unpause their home internet.
“It’s exciting to see Luma’s vision to bring better and faster WiFi to customers come to life with the availability of its first home system,” said Steve Rabuchin, Vice President, Amazon Alexa. “We saw great promise in Luma to push forward IOT and voice technologies when we invested in the company through the Alexa Fund. The addition of an Alexa skill will bring increased functionality and make it seamless for customers to better control their home internet through their voice.”
Luma joins 16 companies—Sutro, Invoxia, Petnet, Musaic, Rachio, Scout Alarm, Garageio, Toymail, Dragon Innovation, MARA, Mojio, TrackR, OrangeChef, Kitt.ai, and Ring—that have already received investments from the Alexa Fund. And, recipients MARA, Rachio, Mojio, Garageio, and Scout Alarm have already launched new skills for Alexa. Most recently, MARA Running Assistant released their skill for Alexa that makes it easy to interact with MARA Running Assistant, a hands-free voice-controlled assistant that will support and coach you while you exercise. Customers can ask the skill questions like “Alexa, ask MARA how many miles have I run so far this week?”[Read More]
Today, we are excited to team up with hack.guides() to bring you a Tutorial Contest. Hack.guides() is a community of developers focused on creating tutorials to help educate and share technical knowledge. This contest is the perfect opportunity to share your knowledge, help other developers, contribute articles to an open-source project, and win a prize along the way. Hack.guides() tutorials bring the developer community together to create and curate collaborative content. With the GitHub API backend, hack.guides() tutorials can be forked, improved, and merged by simply using a pull request.
Technical tutorials are a fantastic medium for developers to share their experience and best practices on a variety of technologies. Our guest bloggers have written a variety of tutorials on topics including how to use AWS IoT and Alexa Skills Kit (ASK) to voice control connected devices and how to easily publish changes into AWS Lambda via the command line interface. We also shared some community tutorials from Alexa developers on how to implement Google Analytics to monitor skill performance and storing variables with persistence to create innovative skills.[Read More]
Last week Pebble announced that they are integrating Alexa Voice Services (AVS) to Pebble Core, a new category of 3G-capable ultra-wearable device that lets you take music, weather, and more on your run. Unlike other Pebble devices, the Pebble Core is not a smartwatch. Instead, it’s a tiny standalone wearable device that’s designed to allow people to listen to music (via Spotify), runners to track runs, and more – all without a smartphone. With over 1,000+ Alexa skills built by developers using the Alexa Skills Kit, Pebble Core can tap into any number of capabilities. Watch the video to see it in action.
Since the Pebble Core has its own 3G connectivity, connecting to Alexa does not require a smartphone and interacting with Alexa is simple. Just use a pair of wired or Bluetooth headphones with a built-in mic and say something like, “Alexa, what’s on my calendar today?” Whether you want to get your news briefing while you’re running on the treadmill, or check the weather before going out for a run, the AVS integration with Pebble Core makes it easy to just ask.[Read More]
Experienced Alexa developer Eric Olson (Galactoise in the Amazon developer forums) had a mission to determine whether or not you could really create a custom skill from scratch within 24 hours. Eric did it in less than 12—and did it well—on a weighted, random-number-generator skill called DiceBot that he developed using Alexa Skills Kit (ASK) and a Lambda proxy.
By day Eric is an engineer for Disney, but he and his friends at DERP Group also build things on their own for fun and profit. The dice-rolling DiceBot is their third Alexa skill, and Eric shares his experience about the process in this informative blog post. His vision was:
In DiceBot, you can invoke a different intent by changing the invocation phrase. For example, by prepending the word “me” to your dice-set description, you can tip DiceBot off to weight things a bit differently:
You can also append “for me” to the end of the dice set description to weight the rolls downward:
Read more about Eric's experience building DiceBot and give it a try yourself. Simply enable the Dicebot skill in the Alexa app and say one of these:
Share other innovative ways you’re using Alexa in your life. Tweet us @alexadevs with hashtag #AlexaDevStory.
On April 5, 2016, Amazon announced the Smart Home Skill API, the public, self-service version of the Alexa Lighting API, which was introduced as a beta in August 2015. As part of the beta program, we worked with a number of companies to gather developer feedback, while extending the Alexa smart home capabilities to work with their devices.
In 2015, the Alexa team wanted to make it fast and easy for developers to create skills that connect devices directly to our lighting and thermostat capabilities so that customers can control their lights, switches, smart plugs or thermostats—without lifting a finger. So they created a beta program to work with experts in thermostats and home comfort to gather developer feedback, while extending the Alexa smart home capabilities to work with their devices. That naturally led them to ecobee, creator of a smart thermostat that uses remote sensors to optimize the temperature in specific rooms. The engineers at ecobee jumped at the chance to help Amazon define the integration and product requirements for the new feature.
Why? First, ecobee was the first to allow iOS users to control their thermostats with the Siri voice interface when they integrated Apple’s HomeKit API into their smartphone app. “But Alexa’s way different,” said Hesham Fahmy, Vice President of Technology for ecobee. “One of our biggest product benefits is ‘Comfort where it matters,’ which is especially true with our remote sensor capabilities.” To Fahmy, it made perfect sense to connect your ecobee device to Alexa and say, “Alexa, turn up the temperature” without needing to find your phone.[Read More]
Recently an entrepreneur approached software and design firm Macadamian with a unique product concept: an interactive NHL scoreboard. That WiFi-connected, voice-controlled gadget is enough to make any hockey fan drool. And while it was the company’s first foray into the world of Echo and Alexa, it was certainly not the last.
Now Macadamian has launched an Alexa skill to bring “hands-free” to an action performed 6 billion times each day in the U.S. alone: sending a text message. What could have more mass-market appeal? Yet the company says it created the skill to showcase its expertise, not to gain millions of users.
They call their skill Scryb (pronounced “scribe”). To use it, enable Scryb in the Alexa App, and simply say “Alexa, Scryb your-message-here.”
Ed Sarfeld, UX architect at Macadamian, explains the twofold reason behind the name. "As UX designers, we wanted to make the skill simple and natural to use. The word ‘scribe’ means to write, so it's easy to remember. We changed the spelling because of existing trademarks and wordmarks. But this is voice, and it’s still pronounced ‘scribe’.”
Further, “scribe” is also the skill's main verb, and there’s no need to repeat it. Scryb needs only a single, simple statement: “Alexa, tell Scryb I’m on my way.” Less to remember means it’s simpler for the user.
By design, users have few other commands to worry about. One lets you set or change the recipient – Scryb stores only one number at a time. If that seems odd, it’s not: remember there’s no screen of contacts on a smartphone to tap on here. And having a single, primary recipient is right in line with the expected uses for the skill:
We are excited to announce four new Alexa Skills Kit built-in intents that you can leverage immediately in your own Alexa skills.
Think of the intent schema as the blueprint for what your Alexa skill will do. Built-in intents are common actions that you can choose to implement in your custom skill without providing any sample utterances. If you created an Alexa skill in the past, you may have leveraged some of the other built-in intents for your intent schema. With built-in intents, you can build a more robust skill with less sample utterances required in your interaction model. Leveraging these built-in intents is easy and allows more flexibility.
Here are four new built-in intents available now:
Let the user navigate to the next item in a list.
Let the user pause an action in progress.
Let the user go back to a previous item in a list.
Let the user resume or continue an action.
With these additional built-in intents, you can help users easily and naturally navigate your skills, from being able to pause an intent or request in progress, go back to a previously called intent or resume an existing one. Users can use natural language and phrasing to support these common interactions, allowing you to leverage the built-in intents rather than having to handle these types of requests programmatically.
Already have a skill? This may be a good time to update it with these new intents. Check out the Implementing Built-in Intents page for more information.
For a complete list of built-in intents, see Available Built-in Intents.