the rise of personal cloud agents

The folks over at have the right idea. From their site:

TwitchBoard listens to your twitter account, and forwards messages on to other internet services based on what it hears. Our first service will automatically save any links you tweet to the bookmarking service. We’re working on connections to many other services — stay tuned!

This simple tool is a software agent built on the web platform. It lives on a server as a script watching your personal datastream – Twitter, in this case. The initial service notices when you have put an url in your tweet, grabs it, and passes it along to your account as a bookmark. It effectively concatenates two web services together to optimize your workflow and eliminate the need to double post. It extends the function of Twitter to include the function of recapitulating the phylogenetic imperative evolving from unicellular function to multicellular.!

Twitchboard represents the emerging class of cloud agents that will help us sort and search the massive volumes of data we interact with regularly. Our connections are getting too dense and the data we’re working with is growing far too big for us humans to handle manually. We need subroutines customized to our interests, affiliations, businesses, and collaborations that can do the heavy data lifting for us while we focus on the meaningful expressions these agents will create for us from the noise.

Increasingly we’ll have swarms of such agents running across our digital lives doing our bidding and the bidding of numerous marketing and security agencies as well. These tools will have particular value across the enterprise where they will monitor workflows & financial movements, gather market data from clouds, and sift through productivity metrics to formulate valuable business intel. Agents will tell us about our lives and our health delivering colorful abstracts with pretty animated datasets showing how much we drove this week, how many miles we walked, tasks completed vs. outstanding, and much more feedback based on an array of scripts & sensors.

Twitchboard is using the fertile comm grounds of Twitter and it’s API to watch the datastream for keywords that can drive additional services. You can bet they’re also deriving all sorts of interesting meta-patterns from the Twitter feed that will be plugged into further modular mashups and visualizations. Through it’s popularity and the openness of it’s API Twitter is lighting a roadmap towards the semantic web. Groups like Twitchboard are building the services reading the machine web and helping us better manage the mountains of data piling up, meanwhile giving rise to a class of autonomous agents moving across devices, sensors, cameras, and clouds.

[Kudos to Sarah Perez of ReadWriteWeb for mentioning me & this post in her column!]


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  2. admin

    Sarah Perez at ReadWriteWeb picked up my post, commenting:

    Blogger Chris Arkenberg says Twitchboard is a part of the “emerging class of cloud agents.” These cloud agents, as he describes them, will help us sort and search the massive volumes of data we interact with regularly. He envisions that soon we’ll have many of these cloud agents, swarming around us, working on our behalf, helping to parse the data flowing in and providing us with the information that we need, separated from the noise.

    If that’s true, then we seriously can’t wait. We hope that in 2009, we’ll start seeing more of these smart cloud agents and less of those “yet another”apps. Developers, start your engines, it’s time to build some real tools.

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  4. agent007

    Great promise – service appears to be D.O.A. – much needed solution for n-o-w. Any updates on this or a close competitor for automatically feeding a tag based knowledge repository such as Delicious?

    Please provide confidential reply email reply.

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