README.md in open_fda_api-0.0.12 vs README.md in open_fda_api-0.0.13

@@ -17,11 +17,13 @@
 ```
 
 ## Usage
 
 ```ruby
-client = OpenFdaApi.client
+client = OpenFdaApi::Client.new
+# or if you have registered an API key
+client = OpenFdaApi::Client.new(api_key: ENV['OPEN_FDA_API_KEY'])
 
 # First 20 results where (fieldA=foo AND fieldB=bar) OR (fieldC=baz AND fieldA exists)
 # Sorted by (fieldD) in descending order
 # Skip the first 8 results
 args = { 
@@ -40,11 +42,11 @@
 client.drugs.ndc_directory(args)
 client.drugs.recall_enforcement_reports(args)
 client.drugs.drugs_at_fda(args)
 
 # Device API
-client.device.premarket_501ks(args)
+client.device.premarket_510ks(args)
 client.device.classification(args)
 client.device.recall_enforcement_reports(args)
 client.device.adverse_events(args)
 client.device.premarket_approval(args)
 client.device.recalls(args)
@@ -70,12 +72,38 @@
 
 `search`, `sort`, and `count` have the same format. They are arrays of hashes. Each hash has a set of fields and values
 that are ANDed together and all the elements in the array are ORed together. Here are some examples to illustrate:
 
 ```ruby
-search = [{"patient.drug.openfda.pharm_class_epc" => "nonsteroidal+anti-inflammatory+drug" }]
+# Default arguments
+args = {
+  search: [],
+  sort:   [],
+  count:  [],
+  skip:   0,
+  limit:  1,
+}
 
-# patient.drug.openfda.pharm_class_epc:"nonsteroidal+anti-inflammatory+drug"&count=patient.reaction.reactionmeddrapt.exact
+# Search for a single field
+args = {
+  search: [{ fieldA: "value" }]
+}
+
+# Search for field A AND field B
+args = {
+  search: [{ fieldA: "value", fieldB: "other value" }]
+}
+
+# Search for field A OR field B
+args = {
+  search: [{ fieldA: "value"}, { fieldB: "other value" }]
+}
+
+# Search for field A or field B, and skip the first 10 results
+args = {
+  search: [{ fieldA: "value"}, { fieldB: "other value" }],
+  skip: 10
+}
 ```
 
 ## Development
 
 After checking out the repo, run `bin/setup` to install dependencies.