GET https://rct.dev.bbntimes.com/technology/diagramming-the-gpt-prompt

Response
200 OK
IP
216.73.216.165
Profiled on
Token
97d43c

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
_controller 
"App\Controller\ArticleController::show"
_firewall_context 
"security.firewall.map.context.main"
_links 
Symfony\Component\WebLink\GenericLinkProvider {#3613
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    3731 => Symfony\Component\WebLink\Link {#3731
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      -rel: [
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      -attributes: [
        "as" => "script"
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    }
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      ]
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    }
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      -rel: [
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      ]
    }
    3726 => Symfony\Component\WebLink\Link {#3726
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      -rel: [
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    3725 => Symfony\Component\WebLink\Link {#3725
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      -rel: [
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      -attributes: [
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    3724 => Symfony\Component\WebLink\Link {#3724
      -href: "/build/cookie-style.css"
      -rel: [
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      -attributes: [
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      ]
    }
    3723 => Symfony\Component\WebLink\Link {#3723
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      -rel: [
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      -attributes: [
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    3722 => Symfony\Component\WebLink\Link {#3722
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      -attributes: [
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    3721 => Symfony\Component\WebLink\Link {#3721
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      -attributes: [
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}
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"article_show"
_route_params 
[
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]
_security_firewall_run 
"_security_main"
_stopwatch_token 
"57bdc6"
category 
"technology"
slug 
"diagramming-the-gpt-prompt"

Request Headers

Header Value
accept 
"*/*"
accept-encoding 
"gzip, br, zstd, deflate"
connection 
"close"
cookie 
"PHPSESSID=eamuk7udoq851mtkmhpd60gjof"
host 
"rct.dev.bbntimes.com"
user-agent 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level 
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control 
"no-cache, private"
content-type 
"text/html; charset=UTF-8"
date 
"Mon, 04 Aug 2025 09:36:26 GMT"
link 
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token 
"97d43c"

Cookies

Request Cookies

Key Value
PHPSESSID 
"eamuk7udoq851mtkmhpd60gjof"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created 
"Mon, 04 Aug 25 09:35:50 +0000"
Last used 
"Mon, 04 Aug 25 09:36:25 +0000"
Lifetime 
0

Session Attributes

Attribute Value
_csrf/https-comment 
"KJgkTWW26wdPAsGEzSykS3mvSrbYk28Rgc_Ox3LQ6KE"
_csrf/https-cookie_accept 
"_izZS8DbAGZMPUX93gdFrw6BffwdOSzpcNxg8hfBFTs"

Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:52
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:56
Show trace 
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 76
    "function" => "handleRaw"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/Kernel.php"
    "line" => 197
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/runtime/Runner/Symfony/HttpKernelRunner.php"
    "line" => 35
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\Kernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    "line" => 29
    "function" => "run"
    "class" => "Symfony\Component\Runtime\Runner\Symfony\HttpKernelRunner"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
    "line" => 5
    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
    "function" => "require_once"
  ]
]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-core/Authentication/Token/Storage/UsageTrackingTokenStorage.php"
    "line" => 41
    "function" => "getMetadataBag"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/twig-bridge/AppVariable.php"
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    "function" => "getToken"
    "class" => "Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage"
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    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/Extension/CoreExtension.php"
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    "function" => "twig_get_attribute"
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    "class" => "__TwigTemplate_824a013e4f3f4a68e03a2d244e765025"
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    "function" => "displayWithErrorHandling"
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    "line" => 379
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  [
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    "function" => "render"
    "class" => "Twig\Template"
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  [
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    "line" => 280
    "function" => "render"
    "class" => "Twig\TemplateWrapper"
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  [
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    "line" => 448
    "function" => "render"
    "class" => "Twig\Environment"
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    "line" => 453
    "function" => "doRenderView"
    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/framework-bundle/Controller/AbstractController.php"
    "line" => 253
    "function" => "doRender"
    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/src/Controller/AppController.php"
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    "function" => "render"
    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
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  [
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    "line" => 181
    "function" => "renderHeader"
    "class" => "App\Controller\AppController"
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  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 76
    "function" => "handleRaw"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpCache/SubRequestHandler.php"
    "line" => 86
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/Fragment/InlineFragmentRenderer.php"
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    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpCache\SubRequestHandler"
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  [
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    "function" => "render"
    "class" => "Symfony\Component\HttpKernel\Fragment\InlineFragmentRenderer"
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    "function" => "render"
    "class" => "Symfony\Component\HttpKernel\Fragment\FragmentHandler"
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  [
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    "function" => "render"
    "class" => "Symfony\Component\HttpKernel\DependencyInjection\LazyLoadingFragmentHandler"
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  [
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/Template.php"
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    "function" => "block_header"
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  [
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    "function" => "displayBlock"
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    "function" => "displayWithErrorHandling"
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  [
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    "function" => "display"
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    "line" => 394
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    "class" => "__TwigTemplate_3ce0324a396de697d1fad9fabd68df72"
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    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/Template.php"
    "line" => 367
    "function" => "displayWithErrorHandling"
    "class" => "Twig\Template"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/Template.php"
    "line" => 379
    "function" => "display"
    "class" => "Twig\Template"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/TemplateWrapper.php"
    "line" => 38
    "function" => "render"
    "class" => "Twig\Template"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/Environment.php"
    "line" => 280
    "function" => "render"
    "class" => "Twig\TemplateWrapper"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/framework-bundle/Controller/AbstractController.php"
    "line" => 448
    "function" => "render"
    "class" => "Twig\Environment"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/framework-bundle/Controller/AbstractController.php"
    "line" => 453
    "function" => "doRenderView"
    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/framework-bundle/Controller/AbstractController.php"
    "line" => 253
    "function" => "doRender"
    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/src/Controller/ArticleController.php"
    "line" => 277
    "function" => "render"
    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 181
    "function" => "show"
    "class" => "App\Controller\ArticleController"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 76
    "function" => "handleRaw"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/Kernel.php"
    "line" => 197
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/runtime/Runner/Symfony/HttpKernelRunner.php"
    "line" => 35
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\Kernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    "line" => 29
    "function" => "run"
    "class" => "Symfony\Component\Runtime\Runner\Symfony\HttpKernelRunner"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
    "line" => 5
    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
    "function" => "require_once"
  ]
]
Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-http/Firewall/ContextListener.php"
    "line" => 171
    "function" => "remove"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/Debug/WrappedListener.php"
    "line" => 116
    "function" => "onKernelResponse"
    "class" => "Symfony\Component\Security\Http\Firewall\ContextListener"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/EventDispatcher.php"
    "line" => 220
    "function" => "__invoke"
    "class" => "Symfony\Component\EventDispatcher\Debug\WrappedListener"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/EventDispatcher.php"
    "line" => 56
    "function" => "callListeners"
    "class" => "Symfony\Component\EventDispatcher\EventDispatcher"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/Debug/TraceableEventDispatcher.php"
    "line" => 139
    "function" => "dispatch"
    "class" => "Symfony\Component\EventDispatcher\EventDispatcher"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 214
    "function" => "dispatch"
    "class" => "Symfony\Component\EventDispatcher\Debug\TraceableEventDispatcher"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 202
    "function" => "filterResponse"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 76
    "function" => "handleRaw"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/Kernel.php"
    "line" => 197
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/runtime/Runner/Symfony/HttpKernelRunner.php"
    "line" => 35
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\Kernel"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
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    "function" => "run"
    "class" => "Symfony\Component\Runtime\Runner\Symfony\HttpKernelRunner"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
    "line" => 5
    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
    "function" => "require_once"
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]

Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"PHPSESSID=eamuk7udoq851mtkmhpd60gjof"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/diagramming-the-gpt-prompt"
REDIRECT_REDIRECT_SCRIPT_URL 
"/technology/diagramming-the-gpt-prompt"
REDIRECT_REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS 
"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"aJB_GKgNb7PNnPrctTKQhAAAAFA"
REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/diagramming-the-gpt-prompt"
REDIRECT_SCRIPT_URL 
"/technology/diagramming-the-gpt-prompt"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"aJB_GKgNb7PNnPrctTKQhAAAAFA"
REDIRECT_URL 
"/public/technology/diagramming-the-gpt-prompt"
REMOTE_ADDR 
"216.73.216.165"
REMOTE_PORT 
"13938"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1754300184
REQUEST_TIME_FLOAT 
1754300184.1775
REQUEST_URI 
"/technology/diagramming-the-gpt-prompt"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/diagramming-the-gpt-prompt"
SCRIPT_URL 
"/technology/diagramming-the-gpt-prompt"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
SERVER_PROTOCOL 
"HTTP/1.1"
SERVER_SIGNATURE 
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE 
"Apache"
SSL_TLS_SNI 
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS 
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID 
"aJB_GKgNb7PNnPrctTKQhAAAAFA"

Sub Requests 6

CookieController :: renderAnalysis (token = 800f70)

Key Value
_controller 
"App\Controller\CookieController::renderAnalysis"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"b379ee"

AppController :: renderHeader (token = fef671)

Key Value
_controller 
"App\Controller\AppController::renderHeader"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"e2ca21"
slug 
"home"

ArticleController :: trendingArticle (token = 2236d3)

Key Value
_controller 
"App\Controller\ArticleController::trendingArticle"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"4fc4f5"
category 
"Technology"

ArticleController :: relatedArticles (token = b80617)

Key Value
_controller 
"App\Controller\ArticleController::relatedArticles"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"01f167"
current_article 
App\Entity\Article {#1094
  -id: 14560
  -title: "Diagramming The GPT Prompt"
  -slug: "diagramming-the-gpt-prompt"
  -introtext: "<p>Sentence diagramming, an old technique from the 19th century, can be applied to modern AI-driven communication, specifically in crafting GPT prompts.</p>\r\n"
  -content: """
    \r\n
    <p id="b5b7" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Sentence diagramming involves breaking down a sentence into its components and analyzing their relationships. When applied to GPT prompts, it helps optimize communication with the model. By dissecting the subject, verb, and adjectives/adverbs in a prompt, one can guide the AI’s response in different directions, change the expected type of response, and provide more specific guidance. Sentence diagramming can also be scaled to paragraph-length prompts, creating narrative structures that the model can interpret and extend. By understanding the role of each sentence component, prompt engineering can be optimized to bridge the gap between the desired story and the output generated by GPT.</p>\r\n
    <p id="25f3" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>There’s an old adage that says, “what’s old becomes new again.” In the realm of language and communication, this phrase rings true. Take sentence diagramming, for example — a method with roots back in the 19th century, but one that could prove invaluable in the world of modern AI-driven communication.</p>\r\n
    <p><img src="/images/A_sentence_diagram_of_the_opening_sentence_from_Franz_Kafkas_Metamorphosis.png" alt="A_sentence_diagram_of_the_opening_sentence_from_Franz_Kafkas_Metamorphosis.png" width="599" height="271" /></p>\r\n
    <p><em>A sentence diagram of the opening sentence from Franz Kafka’s Metamorphosis</em>&nbsp;</p>\r\n
    <h2 id="d2c4" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">The Old Technique: What is Sentence Diagramming?</strong></h2>\r\n
    <p id="2ffe" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Sentence diagramming is a visual tool used to map the grammatical structure of a sentence. Originally developed by S. W. Clark in 1847, it involves breaking down a sentence into its basic components — subject, verb, object, etc. — and arranging them on a chart that shows how these parts interrelate. This process helps to clarify syntax, improve language comprehension, and highlight nuanced meaning in phrases.</p>\r\n
    <h2 id="7495" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">A Modern Application: Sentence Diagramming for GPT Prompts</strong></h2>\r\n
    <p id="fd14" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>GPT is a modern AI language model that still, in some ways, follows aligns with human speech. It generates human-like text by predicting the next word in a sentence, given a prompt, or initial set of words. While its output can be impressively coherent, there is an art to creating prompts that guide GPT towards producing the desired text.</p>\r\n
    <p id="ef50" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>In this context, sentence diagramming becomes a modern tool for understanding and crafting GPT prompts. By treating prompts as sentences to be diagrammed, we can dissect their components, assess the impact of word choice and sequence, and make informed decisions that optimize communication with the model.</p>\r\n
    <p id="fbfb" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Let’s go back to elementary school and take a lesson. Specific sentence elements — verbs, subjects, and adjectives — can be dissected and optimized for better GPT prompt creation. And breaking down a prompt to its key components can provide a powerful guide that ensures&nbsp;<em class="mo">each component</em>&nbsp;of the prompt comes together as a single, yet sophisticated driver for the LLM.</p>\r\n
    <h2 id="703c" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">Subjects: The Focus of Attention</strong></h2>\r\n
    <p id="25fa" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>The subject of a sentence is the “who” or “what” that is doing or being something. In a GPT prompt, the subject often sets the scene or topic and generally references GPT as the subject itself. It also provides critical context for the development of the prompt. Changing the subject can steer the AI’s response in different directions. For instance:</p>\r\n
    <ol class="">\r\n
    <li id="b4c2" class="ls lt fr lu b gp lv lw lx gs ly lz ma mp mc md me mq mg mh mi mr mk ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p>“Write&nbsp;<strong class="lu fs">(You)</strong>&nbsp;a blog post about recent advances in AI.”</p>\r\n
    </li>\r\n
    <li id="c526" class="ls lt fr lu b gp mv lw lx gs mw lz ma mp mx md me mq my mh mi mr mz ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p>“<strong class="lu fs">You are a university professor of engineering</strong>, write a blog post about recent advances in AI.”</p>\r\n
    </li>\r\n
    </ol>\r\n
    <p id="62c0" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Though the action (‘Write a blog post’) remains constant, changing the redefining the subject ‘you’ redirects the AI’s focus and allows it to create from the position and opinion of a subject with a unique authority or point of view.</p>\r\n
    <h2 id="569c" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">Verbs: The Action Drivers</strong></h2>\r\n
    <p id="1107" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Verbs are the engine of a sentence, driving the action and indicating what the subject is doing. In a GPT prompt, the verb can significantly influence the model’s response. For example, consider these two prompts:</p>\r\n
    <ol class="">\r\n
    <li id="0e2c" class="ls lt fr lu b gp lv lw lx gs ly lz ma mp mc md me mq mg mh mi mr mk ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p><strong class="lu fs">“Describe</strong>&nbsp;the weather today.”</p>\r\n
    </li>\r\n
    <li id="d40d" class="ls lt fr lu b gp mv lw lx gs mw lz ma mp mx md me mq my mh mi mr mz ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p>“<strong class="lu fs">Craft</strong>&nbsp;a story about the weather today.”</p>\r\n
    </li>\r\n
    </ol>\r\n
    <p id="8e96" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>In sentence diagramming, both prompts have the same structure: a command verb (describe/craft) followed by a direct object (the weather today). However, the chosen verb drastically shifts the type of response expected. “Describe” might result in a present tense observation, while ‘craft’ might lead to more descriptive or even prosaic response.</p>\r\n
    <h2 id="fd3c" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">Adjectives and Adverbs: The Descriptive Details</strong></h2>\r\n
    <p id="810c" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Adjectives and adverbs describe or modify nouns and verbs, adding detail and depth. In a GPT prompt, adjectives can sharpen the focus of the model’s response. For example:</p>\r\n
    <ol class="">\r\n
    <li id="ec8e" class="ls lt fr lu b gp lv lw lx gs ly lz ma mp mc md me mq mg mh mi mr mk ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p>“Generate a list of&nbsp;<strong class="lu fs">healthy meals</strong>.”</p>\r\n
    </li>\r\n
    <li id="e82c" class="ls lt fr lu b gp mv lw lx gs mw lz ma mp mx md me mq my mh mi mr mz ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p>“Generate a list of&nbsp;<strong class="lu fs">delicious health meals</strong>.”</p>\r\n
    </li>\r\n
    <li id="ea7f" class="ls lt fr lu b gp mv lw lx gs mw lz ma mp mx md me mq my mh mi mr mz ml mm mn ms mt mu bj" data-selectable-paragraph>\r\n
    <p>“Generate a list of&nbsp;<strong class="lu fs">mouth-watering, savory healthy meals.</strong>”</p>\r\n
    </li>\r\n
    </ol>\r\n
    <p id="a83e" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>In both prompts, “Generate a list” is the command and “meals” is the object, but the adjectives are key in guiding the AI towards a more specific output.</p>\r\n
    <h2 id="743e" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">Complexity: Stacking Well-Crafted Sentences</strong></h2>\r\n
    <p id="bb85" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>The strength of sentence diagramming for a prompt doesn’t stop at individual sentences — it can be scaled to accommodate longer, paragraph-length prompts. By treating the entire paragraph as an interconnected structure, rather than an assemblage of isolated sentences, we can construct powerful, comprehensive prompts that guide GPT more effectively.</p>\r\n
    <p id="6251" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>The prompt paragraph, in essence, becomes a narrative microcosm, encompassing key structural elements that, when diagrammed, reveal a larger story at play. For instance, the opening sentence might establish a central problem or insight. Subsequent sentences can flesh out the background setting, introduce key facts and drivers a, or frame the overarching context.</p>\r\n
    <p id="16a4" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Notably, the narrative can present the idea of “psychic permission” that suggests an invitation for the AI to explore beyond its regular boundaries. The phrase “every decision matters” implicitly urges the model to generate high-stakes, suspenseful scenarios. It’s like a tacit nod, signaling the model to push the bounds of its programming and innovate within the narrative constraints provided.</p>\r\n
    <p id="fe47" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Through this approach, prompt paragraphs become more than just instructions — they become scaffolds, upon which GPT can construct intricate, nuanced narratives. And in the process, the age-old practice of sentence diagramming finds renewed relevance, empowering us to communicate with AI in more profound and effective ways. They create a kind of narrative or storyline that the model can latch onto, interpret, and extend, thereby leading to a richer, more engaging output. It’s akin to setting the stage and characters for a play — providing a context-rich environment for the AI to generate subsequent text.</p>\r\n
    <h2 id="a3bf" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj"><strong class="lu fs">The Prompt: Complex Structure and Function</strong></h2>\r\n
    <p id="96c4" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>The principles of structure and function, universal across disciplines from grammar to physiology, underscore the interconnectedness of all parts within a system. In language, the structure of sentences, paragraphs, and narratives drives their function, shaping how messages are conveyed and understood. Similarly, in biology, the structure of an organ or organism determines its function, dictating its role within the larger ecosystem.</p>\r\n
    <p id="8f0a" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>Much like sentence diagramming helps illuminate the inner workings of complex sentences, examining the structure of our prompts — the choice and arrangement of verbs, nouns, adjectives and their interrelations — can significantly optimize their function. By deconstructing and thoughtfully reconstructing our prompts, we can facilitate more effective communication with the model, guiding it towards desired outputs with greater precision.</p>\r\n
    <p id="3e8a" class="pw-post-body-paragraph ls lt fr lu b gp lv lw lx gs ly lz ma mb mc md me mf mg mh mi mj mk ml mm mn eo bj" data-selectable-paragraph>By applying old school techniques like sentence diagramming to new school challenges like prompt creation, we not only enhance our interaction with AI but also celebrate the enduring relevance of foundational principles across time and technology.</p>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
  -createdAt: DateTime @1685564940 {#1145
    date: 2023-05-31 20:29:00.0 UTC (+00:00)
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  -updatedAt: DateTime @1685565141 {#1150
    date: 2023-05-31 20:32:21.0 UTC (+00:00)
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  -status: "published"
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  -ImageHeader: Proxies\__CG__\App\Entity\File {#1184 …}
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  -metakey: "Diagramming The GPT Prompt"
  -metadesc: "Sentence diagramming, an old technique from the 19th century, can be applied to modern AI-driven communication, specifically in crafting GPT prompts."
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AppController :: renderFooter (token = 4d11b7)

Key Value
_controller 
"App\Controller\AppController::renderFooter"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"926d24"

CookieController :: renderCookie (token = b82e72)

Key Value
_controller 
"App\Controller\CookieController::renderCookie"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"895783"