From 73a5b47cd49fc59fd6916bf1a2a119a2c6d6780c Mon Sep 17 00:00:00 2001
From: ddebowczyk <ddebowczyk@gmail.com>
Date: Mon, 4 Mar 2024 01:42:31 +0100
Subject: [PATCH] README.md

---
 README.md | 21 +++++++++++++++------
 1 file changed, 15 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 1b7ebc43..377b9b3f 100644
--- a/README.md
+++ b/README.md
@@ -65,7 +65,7 @@ This is a simple example demonstrating how Instructor retrieves structured infor
 Response model class is a plain PHP class with typehints specifying the types of fields of the object.
 
 ```php
-use Cognesy/Instructor/Instructor;
+use Cognesy\Instructor\Instructor;
 use OpenAI;
 
 // Step 1: Define target data structure(s)
@@ -159,7 +159,14 @@ $person = (new Instructor)->respond(
 You can provide a string instead of an array of messages. This is useful when you want to extract data from a single block of text and want to keep your code simple.
 
 ```php
-use Cognesy/Instructor/Instructor;
+// Usually, you work with sequences of messages:
+
+$value = (new Instructor)->respond(
+    messages: [['role' => 'user', 'content' => "His name is Jason, he is 28 years old."]],
+    responseModel: Person::class,
+);
+
+// But if you want to keep it simple and just analyze a piece of text:
 
 $value = (new Instructor)->respond(
     messages: "His name is Jason, he is 28 years old.",
@@ -173,7 +180,8 @@ $value = (new Instructor)->respond(
 Sometimes we just want to get quick results without defining a class for the response model, especially if we're trying to get a straight, simple answer in a form of string, integer, boolean or float. Instructor provides a simplified API for such cases.
 
 ```php
-use Cognesy/Instructor/Instructor;
+use Cognesy\Instructor\Instructor;
+use Cognesy\Instructor\Extras\ScalarAdapter\Scalar;
 
 $value = (new Instructor)->respond(
     messages: "His name is Jason, he is 28 years old.",
@@ -189,7 +197,8 @@ In this example, we're extracting a single integer value from the text. You can
 Additionally, you can use Scalar adapter to extract one of the provided options.
 
 ```php
-use Cognesy/Instructor/Instructor;
+use Cognesy\Instructor\Instructor;
+use Cognesy\Instructor\Extras\ScalarAdapter\Scalar;
 
 $value = (new Instructor)->respond(
     messages: "His name is Jason, he currently plays Doom Eternal.",
@@ -266,7 +275,7 @@ class Event {
 Instructor can retrieve complex data structures from text. Your response model can contain nested objects, arrays, and enums.
 
 ```php
-use Cognesy/Instructor/Instructor;
+use Cognesy\Instructor\Instructor;
 use OpenAI;
 
 // define a data structures to extract data into
@@ -294,7 +303,7 @@ $person = (new Instructor)->respond(
     messages: [['role' => 'user', 'content' => $text]],
     responseModel: Person::class,
     client: OpenAI::client($yourApiKey),
-); // client is passed explicitly, can specify eg. different base URL
+); // client is passed explicitly, can specify e.g. different base URL
 
 // data is extracted into an object of given class
 assert($person instanceof Person); // true