gistfile1.json

//Builds our survey software.
{
	"actionModules" : ["uber","thumbtack","yelp","ourCustomAPI","openCV","imageMagik","MPAZAnalyticsLogger","remindersAPI","AddressValidator","RecipeAPI"],//require(),#import..
	"IOModules" : ["twilio","wechat"],
	"flowProperties" : {
		"input" : {"inputModule":"twilio","humanAttributeName":"fromNumber"},
		"output" : {"outputModule":"twilio","systemAttributeName":"toNumber"}
	},
	"curatedFlowSource" : "http://www.example.com/CuratedFlowSurvey.json" ,
	"flowStateStorage" : "TABLE_NAME_IN_DYNAMO",
	"processingActionsForAllResponses" : ["MPAZAnalyticsLogger.sentRequest","MPAZAnalyticsLogger.UpdateLocalTwilioBillingCounter"]
}

//CuratedFlowSurvey.json:
{
	"responses" : [
						{
							"msg" : "(1/4) What did you eat today? A) Beans B) Soup C) Corn",
							"processingActionForThisResponse":"<Do open CV on response.. do >"
						},
					  	{

					  	}
				  ]

}



Machine2Human ["What did you eat today? A) Soup B) Not Soup"] -> Human2Machine ["A"] -> 


//Survey system w/ feature that scans input PICTURE and tells you First and Last name of who is in the picture (if anyone)
SYSTEM ACTIONS UPON RECIEVING {"fromPhoneNumber":"+18012828882","msg":"A","imgLink":"http://www.example.com/img.jpg"}
	1-Setup 			// Gain context (Past Req's / Responses), Which flow is this input part of? Where are we in the flow?
	2-Pre processing 	// Map routes properly.
	3-Processing 		// ["OpenCVFacialRecognitionAPI","FruitRecognitionComputerVisionMapperAPI."]
	4-Post Processing 	// if 3 succeeds, parse final results into proper format
	5-Finalization 		// is last message in survey? if so, don't send another. else send next in queue.