Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Machines, Processes, compositions of matter, and articles that include at least one input acceptance machine and at least one track data presentation device. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Machines, Processes, compositions of matter, and articles that include at least one input acceptance machine and at least one track data presentation device. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Machines, Processes, compositions of matter, and articles that include at least one input acceptance machine and at least one track data presentation device. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: A method substantially as shown and described the detailed description and/or drawings and/or elsewhere herein. A device substantially as shown and described the detailed description and/or drawings and/or elsewhere herein.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include receiving a generic food request from a user for one or more food items; obtaining, in response to the reception of the generic food request, user preference information of the user that indicates one or more food customization preferences of the user including at least one or more ingredient integrity preferences of the user related to integrity of one or more ingredients, the user preference information to be obtained from one or more sources other than the user; and directing automated generation of one or more customized food items in response to the received generic food request and in accordance, at least in part, with the obtained user preference information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include receiving a generic food request from a user for one or more food items; obtaining, in response to the reception of the generic food request, user preference information of the user that indicates one or more food customization preferences of the user including at least one or more ingredient integrity preferences of the user related to integrity of one or more ingredients, the user preference information to be obtained from one or more sources other than the user; and directing automated generation of one or more customized food items in response to the received generic food request and in accordance, at least in part, with the obtained user preference information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.