AI Tool Access Guide

How AI Tool Connections Work

A page loading only confirms part of the connection works

An AI conversation usually involves more than a request to a single address. The browser first loads the page and its scripts, checks your sign-in status, retrieves the model list, then sends your prompt to an inference service. Image uploads, file processing and conversation history may use different domains. If the homepage loads, its resources are reachable, but that doesn’t confirm that sign-in, uploads and generation are all working. When troubleshooting, pinpoint the action that fails instead of saying the tool simply won’t open.

Think of access as several layers: your device, local client, international route, target platform and account permissions. The device sends the request, the client determines where it goes, the route carries it, the platform decides whether to accept it, and the account determines which features you can use. These layers are related but not interchangeable. Switching routes may improve connectivity, but it won’t grant access to a model. Signing in again may refresh a session, but it won’t fix a local DNS issue.

A useful starting point is a clear record of what happens: does the page load, does sign-in redirect, does conversation history appear, can you generate a short text, and can you upload a file? Each symptom points to a different part of the connection. If text works but images don’t, check the upload path, file requirements and related domains first. If the page won’t load at all, start with your local network, DNS and connection settings; there’s no need to change model settings yet.

Tell connection failures from platform rejections

Connection failures often appear as timeouts, certificate handshake errors, reset connections or requests that keep waiting. A platform rejection usually returns a clear response, such as a sign-in prompt, a region availability notice, missing account permissions or a usage restriction. The fixes are different. For a connection failure, check whether the request reached its destination. For a rejection, read the response. A generic browser error page can easily make an account issue look like a routing problem.

The browser’s Network panel can help distinguish these cases. Open it, reproduce the issue, then check the failed request’s domain, type, response status and timing. You don’t need to copy the full request. A page script error doesn’t necessarily mean the platform rejected you, and a cross-origin warning doesn’t necessarily mean the route is unreachable. If the request returned an application error, follow the platform’s guidance instead of repeatedly refreshing and generating more requests.

AI services depend particularly on ongoing interaction. A webpage can be downloaded and read offline, but a generated response needs the connection to keep working while output is streaming. Coding assistants may also fetch context, refresh authorization and request completions in the background. To determine whether a connection works for a tool, test the actions you actually use. Checking only the homepage or the client’s connection indicator doesn’t give you the full picture.

Use repeatable test conditions

To compare results, keep the same device, browser setup and account throughout testing, and change only one variable at a time. Close other proxy tools that might interfere, then confirm the mode used by your current client. If you change the route, browser extensions and account all at once, it’s hard to tell what helped. You also won’t be able to reuse a verified fix if the problem returns.

Distinguish a tool’s state from how you use it. Web apps, desktop apps, browser extensions and developer APIs may use different components to send requests, and can take different routes even on the same device. If the web app works but an editor doesn’t, that isn’t necessarily a contradiction about platform availability. The editor may not inherit system settings, or its remote environment may use a different network path from your computer.

The following sections cover regions, sign-in, individual tools, persistent connections and developer environments. Start with the section that matches your issue, and keep a record of a working setup: client mode, selected region and actions that succeeded. This is more useful than a single error screenshot for pinpointing what changed, whether it was a local update, a platform policy change or a request taking a different path.

Region Checks & Egress IP

Platforms use more than one signal to determine your region

Your egress IP is an important signal for a platform, but it isn’t the only one. A platform may also consider your account region, billing details, session history and the product’s supported regions. An egress IP in a particular region doesn’t automatically give your account access to every feature there. If you see a region notice, check the target product’s current official support information, then confirm the egress IP actually used by the request—not just the route name selected in your client.

IP geolocation databases may not be updated at the same time. It’s not unusual for the same address to appear in different regions across lookup tools, and platforms may use their own data. External lookups are only clues; the target platform’s decision is what matters. If a lookup looks right but the platform still says the service is unavailable, save the exact notice and check for account or product eligibility differences instead of blaming the database alone.

Platforms may also assess how an address is used and where its traffic comes from. Unusual requests on a shared egress IP could affect other users, but one verification page isn’t enough to conclude that an address is permanently restricted. Frequently changing regions, signing in repeatedly and retrying continuously can make the issue harder to diagnose. A better approach is to use consistent connection conditions in a region supported by the platform and see whether the same action succeeds reliably.

Check system connectivity and app egress separately

A connected client doesn’t mean every app is using an international route. Rule-based modes may route traffic by domain, some apps have their own network settings, and command-line tools may ignore the system proxy entirely. Include the target app in your checks. First verify the browser’s actual egress, then check whether the failing app uses the same path. Don’t treat browser results as a substitute for testing a terminal, editor or remote development environment.

DNS resolution can also affect the connection path. A browser may have its own encrypted DNS settings, while the system and client may each use different DNS policies. If a hostname resolves to an unsuitable address, the connection may fail even when it uses the right egress route. Record your current settings, then check DNS behavior and rules in the client’s documentation. Avoid cycling through public DNS services without keeping a baseline. After making a change, send a fresh request to rule out an existing connection.

If your device can connect using different IP versions, an app may choose another available path. Don’t assume every request uses the same egress just because one IP lookup matches your expectations. Check whether the client handles the relevant traffic, whether the system has a direct route, and what the target app’s logs show. Avoid disabling unfamiliar system network options in bulk. It’s easier to verify—and undo—a clearly documented setting in the client.

Route types and how to choose

Route types describe how traffic is routed; they don’t certify access to AI platforms. A label such as “dedicated” doesn’t guarantee a platform will accept the connection, and a direct route isn’t necessarily unsuitable for conversations. First meet the target platform’s region requirements, then test the actions you actually need, including sign-in, short text generation, sustained output and file submission. Comparing names or distance alone can miss what really affects your work.

See the Routes page for regions and route types; the current list in your user dashboard takes precedence. When comparing routes, test within the same eligible region and keep a working option as your baseline. If an old session is still connected after you switch routes, end the current task and reopen the page so new requests use the new path. Don’t switch routes in the middle of an important generation.

For more on verifying egress and DNS results, see the Connection Verification Guide. Note whether the lookup was done in a browser or in the environment where the target app runs, along with the time and what happened. Share only the information support needs; don’t disclose your full network configuration. Region checks can be uncertain on the platform side. The goal is to narrow down the issue, not to keep switching routes in pursuit of an unverifiable guarantee.

Account Sign-In & Session Management

Your 9DVPN account is separate from your AI platform accounts

Your 9DVPN account manages your international route subscription; accounts for AI tools are managed by their respective platforms. No email address is required to create a 9DVPN account—just a username and password. That doesn’t mean ChatGPT, Claude or other platforms use the same sign-up requirements. Before accessing a target service, follow its official account requirements and confirm the product is available under your circumstances, then troubleshoot the connection. Keep passwords and recovery details for the two types of account separate.

Sign-in often involves page redirects, external identity providers and callback URLs. If the homepage loads but clicking Sign In keeps returning you to the same page, note whether it happens before the redirect, after identity verification or when returning to the product. Each stage points to a different issue: resources may not load, session data may not be saved, or the callback request may not complete. Describing the redirect sequence is usually more useful than repeatedly clearing all browser data.

Browser privacy settings can affect session storage. An extension may block a required script, site data may be cleared automatically, or the identity provider may not have permission to store data—all of which can cause a sign-in loop. Keep your existing setup and create a clean browser profile for comparison. Don’t rush to disable every security setting or install an extension from an unknown source to replace the platform’s own sign-in flow.

Keep conditions stable when a verification page appears

If a verification page appears, first check that your device clock is correct, the browser can run required scripts and extensions aren’t blocking page resources. Then follow the page’s instructions. Repeated verification may be related to session storage, a changing egress IP or the platform’s risk checks. Refreshing continuously doesn’t prove that you need a different route. Stop automatic retries and record the notice before the evidence is obscured by a series of overlapping errors.

If the egress region differs significantly from your account’s usage history, the platform may ask you to verify your identity. That doesn’t mean you should change your account details to match a temporary egress IP. Keep your account information accurate and follow the platform’s policies. Complete any verification through a trusted, official page. Never give your password, session data or recovery information to an unfamiliar site promising to remove restrictions on your behalf.

Clearing data can help test whether a session cache is causing the issue, but keep the scope small. Sign out of the target platform, close related tabs, clear data for that site only, then sign in again. This may remove local drafts and preferences, so save anything important first. If the same step fails in several browsers, repeatedly clearing data is unlikely to help. Check the network path, platform status or account permissions instead.

Keep account permissions and network symptoms separate

Even after signing in, product permissions, organization policies or billing status may prevent you from using a feature. A missing model, an organization workspace that blocks uploads or a requirement for administrator approval are account or policy issues. A network tool can’t grant authorization. Check the platform account page for the active workspace and product, especially if your browser switches between personal and organization accounts automatically.

Keeping multiple accounts signed in to the same browser can also complicate troubleshooting. The page may show one workspace, a plugin may hold authorization for another account, and the command line may use separate developer credentials. Check which account each entry point is actually using, but don’t put credentials in your notes. You can identify a personal or organization workspace and note whether an administrator restriction applies—enough to troubleshoot without exposing more than necessary.

If your account receives a restriction notice, save the exact message, the context of the action and the platform’s appeal link. Don’t try to evade restrictions by creating accounts in bulk, falsifying information or changing identities. Handle account appeals and route support separately: the target platform handles the former, while route support can check whether requests are being transmitted normally. Clear responsibility boundaries reduce wasted effort and help you provide more accurate information to support teams.

How Common AI Tools Differ

Chat tools: start with the right product

ChatGPT, Claude and Gemini all offer conversational experiences, but their account systems, region rules, feature sets and developer portals differ. Don’t assume a setup that works for one tool will work for the others. Before troubleshooting, make sure you’re on the official product page, not a mirror, aggregator or third-party service with a similar name in search results. Different entry points may use entirely different accounts and billing arrangements.

A chat page can offer several independent features. Text generation working doesn’t mean file analysis, voice or image features will work; each may have its own account requirements and request domains. If uploads fail in ChatGPT or Claude, try reproducing the issue with a small, ordinary file that contains no sensitive information, check the format requirements shown on the page, then inspect the failed request. Don’t repeatedly submit real work documents as network test data.

Products such as Gemini may also be affected by workspace policies. A feature available to a personal account may be missing from an organization account. Access to the platform website doesn’t mean the developer console or API has the same requirements. If a feature is missing, check the product, signed-in account and management policies rather than switching regions. Official support information is a better guide to current access than someone else’s screenshot.

Developer tools: authorization and requests may take different paths

Issues with Copilot and Cursor often appear after browser authorization. Successful confirmation in the browser only means the identity page worked; the editor still needs to receive the callback, save authorization and connect to the backend. If the browser says you’re signed in but the editor isn’t, check that the callback is being handed to the right app, whether the editor is in a remote window, and whether your organization allows the feature.

Chat, inline completions and code indexing in developer tools may use different components. If chat responds but completions keep waiting, don’t assume the entire service is down. Reproduce each feature separately and check the relevant logs for the domain, error type and runtime location. The extension host, editor process and integrated terminal may also use different network settings. Check each component instead of looking for a single switch that fixes everything.

Using Midjourney also depends on the current official entry point and authorization for linked accounts. Web resources, task submission, image previews and result downloads may use different paths. If thumbnails are visible but full-size images won’t load, check the resource request and session permissions instead of submitting the same task again to test a download. When a third-party account is linked, check both services separately so you don’t mistake an account-linking issue for an international route problem.

Build your own compatibility notes around real tasks

Useful notes describe specific actions, not just tool names. For example: opening conversation history, sending plain text, uploading a document, getting a code completion or downloading generated results. These details help reproduce the issue. Test only the features you currently need; there’s no need to try every product to prove that your connection works. If an action involves organization data, check your company’s policy before using the service.

Platforms regularly update their entry points and permissions, so this guide doesn’t treat button locations or model names as permanent. If the interface changes, look for the relevant feature through account settings, official help and error messages. Don’t copy private APIs, hidden parameters or unofficial sign-in methods from outdated tutorials. A maintainable setup should use publicly supported entry points and make the purpose of each network setting clear.

Aim for conclusions specific to the tool and environment: which actions a given account can complete through a particular entry point and route. This is more precise and more useful over time than a blanket claim. If one feature later stops working, you can compare the relevant request and permission changes without reinstalling the client and disrupting parts that still work.

Persistent Connections & Streaming

The connection has to stay open for output to keep arriving

AI conversations often return content in chunks. The text appearing gradually may use server-sent events, chunked responses or another persistent connection mechanism; the protocol isn’t always the same. Unlike a static page download, these requests depend on the connection staying active throughout generation. If the page loads but output later stops, the connection may have become unstable—or the app may have ended the task. Check the request status to tell the difference.

First distinguish between output that never starts and output that stops midway. If it never starts, the platform may be queuing the request, checking permissions, failing to receive it, or encountering a browser script error. If it stops partway through, check whether the connection closed, the page moved to the background, the device went to sleep, or the platform returned a reason for stopping. A long wait alone doesn’t identify the cause, and it doesn’t mean the model is still thinking.

The browser’s Network panel can show whether a request is still waiting or its response has ended. For a streaming request, a persistent in-progress status can be normal. If the connection has ended but the page still says it’s generating, the frontend may not have handled the completion event correctly. Save the current state, then reopen the conversation history to check whether the server stored the complete result. Don’t resubmit a task that may incur a charge until you’ve checked.

Check the device and intermediate connections

A device going to sleep, switching Wi-Fi networks or changing client routes can interrupt an active connection. When generating important content, keeping the device’s network conditions stable is more useful than switching to a lower-latency route. Check whether a laptop lid was closed, a mobile device changed networks, or power settings took effect after a remote desktop session disconnected. Save conversation content when the task is complete; don’t rely on leaving a browser tab open as a backup.

Browser extensions, local security software and organization network equipment can also affect requests. Some intermediate components inspect or buffer responses, so the server may have sent content even though it appears slowly on the page. Compare with a clean browser profile and check your organization’s network policies. On a managed device, don’t disable security software without approval; share the symptoms and necessary logs with your administrator.

If short text works but longer output often stops, repeat the test under the same conditions instead of immediately increasing the timeout. Possible causes include platform task limits, network fluctuations during a persistent connection, or an intermediate component closing an idle connection. A timeout setting only controls how long the client waits; it can’t restore a broken connection or give the platform capabilities beyond your account permissions.

Test uploads, generation and downloads separately

A file task usually involves uploading material, creating a task, waiting for processing and retrieving the result. A completed upload may only mean that the file was received, not successfully parsed. Generation completing doesn’t mean the download link will remain valid. Check the page and relevant requests to identify which action failed. If a resource link requires an active session, don’t paste it into an unfamiliar download tool to troubleshoot; that could expose your access credentials.

Large transfers can consume available connection resources on a shared network. Pause unrelated downloads or syncs temporarily, then see whether output resumes—but don’t make a permanent judgment about a route based on one improvement. For AI work, completing tasks reliably is usually more informative than loading a webpage quickly once. To establish a baseline, use similar content and permissions to reduce differences in models and files.

If sustained output resumes after switching to another route in the same region, note the original route, replacement route and failed action for support to investigate. If different routes stop at the same content or feature, check platform restrictions and task requirements instead. A clear record of what happened is more valuable than labeling routes as fast or slow. For more on route types and destinations, see the Route Guide.

API & Command-Line Setup

Web access doesn’t automatically include API access

Web chat and APIs are separate product entry points. Being able to use a model on the web doesn’t mean API access is enabled or that your API account has available credits. Before development, check API permissions, billing status and project scope in the target platform’s official console, then build requests according to its current documentation. A network connection only carries traffic; it can’t replace developer authorization. Confirming this distinction can save hours of unproductive client troubleshooting.

For API troubleshooting, verify basic connectivity first, then authentication, and finally the actual operation. Check whether your terminal can resolve and connect to the target domain, then see if the API returns a clear response. If you’ve received a permissions or quota notice, the request reached a service that could process it; check your account settings. If the domain can’t resolve at all, there’s no need yet to change the model name, input format or application parameters.

Whether a command-line program inherits the system proxy depends on how it’s built. Some tools read environment variables, some need a proxy set explicitly, and others use settings provided by their runtime. Common variable names include HTTPS_PROXY, HTTP_PROXY and NO_PROXY, but check the documentation for your tool to confirm whether they apply. Don’t assume the proxy endpoint must use a particular protocol just because a variable name includes one.

Test the connection without credentials first

The command below demonstrates a diagnostic approach using a public example site, not an AI API. You’ll need curl installed in your environment. It requests response headers and prints connection diagnostics to help you inspect DNS, connection and certificate stages; it can’t verify your account permissions on an AI platform. For real troubleshooting, use the product domain specified in the official documentation. Never send credentials to the example site.

curl --head --verbose https://example.com

If the client documentation provides a local proxy address for command-line use, you can specify it with curl’s --proxy option and copy the actual local settings from your client. No address or port is provided here, since guessing could conflict with your device’s configuration. Record explicit-proxy and default-connection tests separately. Different results show that the process uses different paths; they don’t automatically mean the target service is at fault.

Don’t post all environment variable output in a public forum; it may contain access keys or internal addresses. Even proxy settings should be checked for embedded credentials. After changing a variable, an already running terminal, editor or background process may not inherit the new value; you’ll often need to restart it. Restore the original settings when testing is done so other projects don’t unintentionally use the new network path.

Handle connection, authentication and API responses separately

Classify API responses by type. For authentication failures, check where the credentials came from and which project they belong to. For insufficient permissions, check product authorization. For quota or rate limits, check the console and response details. For temporary server errors, consult the official status page and retry guidance. These are different from connection timeouts. Save the redacted error type, request stage and request ID; don’t share full request headers as ordinary logs.

Handle certificate errors carefully. An incorrect device clock, a certificate configuration for an organization proxy or a local trust-chain issue may cause a handshake to fail. Don’t disable certificate verification as a permanent workaround; doing so removes an important check that confirms the service’s identity. In a managed environment, ask your administrator for an approved trust configuration. On a personal device, check system certificate updates and software sources before testing again.

For a streaming API, the network library needs to read the response in chunks instead of waiting for everything to finish before displaying it. If your program only prints output when the task is complete, check whether streaming is enabled, events are being consumed correctly and the proxy layer is buffering. No text in the terminal doesn’t necessarily mean there’s no network response. First test with the smallest call supported by the official documentation, then connect the result to your app’s own parsing and display logic.

Store credentials in a controlled secret manager and provide them through the runtime when needed. Don’t put them in source control, screenshots or error reports. If you think a credential has been exposed, revoke and replace it immediately in the relevant platform; deleting visible text isn’t enough. Avoid using real user data for development tests. Once the connection works, restore application parameters and input size step by step so every change has a clear purpose and the actual failure is easier to identify.

IDE, Remote Development & Automation

Find out exactly where the request originates

AI features in an editor may appear to run in a local window, but requests can originate from a local process, remote extension host, container or cloud workspace. If the browser and local terminal work but the plugin doesn’t connect, first find out where it runs. If it runs remotely, your local client’s proxy settings usually won’t change the remote egress route. The rest of the configuration only makes sense once you know where the request originates.

Check the editor’s extension manager, remote connection indicator and logs to find out where the extension runs. Its interface and worker components may run in different environments. A sign-in page opening locally doesn’t mean the actual request comes from your computer. In your notes, distinguish the local machine, remote host and container without disclosing real hostnames. This helps others troubleshoot without mistaking a remote error for a desktop client issue.

The integrated terminal isn’t a reliable stand-in for the plugin. It may read environment variables from your shell startup scripts, while the plugin host may have started earlier and never inherited later changes. If terminal tests work but the plugin fails, check the plugin’s network documentation and logs. Restart the host using a method supported by the tool if needed. Don’t add proxy variables to multiple configuration files, or it may be hard to tell which value takes effect.

A container’s local address doesn’t point to its host

A container has its own network environment. An address pointing to the loopback interface inside the container usually refers to the container itself, not the host machine running the desktop client. Copying the host’s local proxy address into a container may therefore not work as expected. Use a documented host-access method that fits your container setup and organization security policies, and confirm that the proxy allows connections from that scope.

Don’t expose a local proxy service to external networks just to let a container reach it. Consider the listening address, access controls and authentication together. This is especially important on shared hosts, where other processes may be able to access a newly opened endpoint. If you can’t verify the security boundary, use a network solution approved by your organization and ask an administrator to configure it. A quick test with restrictions removed isn’t a production solution.

Remote development also involves where code and data go. An AI plugin may upload the current file, selected snippets or project context. Project policy determines whether that’s allowed; a working connection doesn’t mean you can submit any content. For private repositories, check the plugin’s data settings, exclusion rules and organization policies. Don’t use sensitive configuration, key files or customer data to test a connection.

Treat CI as a separate runtime environment

Continuous integration jobs usually run on separate runners. Don’t assume they inherit routes or sign-in state from a developer’s computer. First find out who manages the runner, where its egress is, whether it can access the target platform, and whether the account used by the job has API permissions. Cloud-hosted and self-hosted runners have different control boundaries; configure the actual environment. Don’t copy a desktop session to replace formal automation authentication.

Inject automation credentials through the platform’s secrets manager and limit which jobs can read them. Take extra care with jobs from untrusted branches, workflows triggered by external contributions and public logs. When troubleshooting, print only the error category and necessary identifiers—not authentication headers. If debug mode prints the full environment, disable or filter it first so a connection test doesn’t expose protected credentials in logs.

Production automation also needs a plan for task recovery. Whether a failed connection can be retried safely depends on whether the request might create a duplicate task, not just on the network error. Save necessary task state, prefer idempotency mechanisms explicitly supported by the platform and follow its retry guidance. After verifying the setup in development, document the same checks internally so maintainers understand why each setting exists instead of inheriting unexplained parameters.

Rate Limits, Restrictions & Troubleshooting

Classify the issue before choosing what to do next

When something goes wrong, first classify it as a page-loading, session, region-access, persistent-connection or API response issue. A specific error is more useful than a general “unavailable” message. A restriction notice doesn’t necessarily mean the account is suspended, and a request that keeps waiting doesn’t necessarily mean the route has failed. Save the exact message and the action that triggered it, check whether it recurs under the same conditions, then decide whether to change a local setting or contact the platform.

Rate limits usually mean the request frequency, concurrency, resource use or account quota has reached the platform’s current limits—not that the account is permanently disabled. Check the response, console and official documentation, and follow the recommended wait or recovery steps. Stop uncontrolled retries in your application to prevent multiple background tasks from increasing request volume. Switching egress won’t fix an account quota and shouldn’t be used to evade the platform’s normal usage limits.

If your account is restricted, check the reason through the platform’s official channels. Automated activity, shared credentials, unusual sign-ins and violations of content or product policies may all be considered, but an external user can’t identify the cause from one error alone. Don’t present unverified guesses as fact. Save the notice and redacted context, then appeal through the official process; that’s more reliable than unfamiliar scripts or supposed recovery tools.

Narrow down the issue using reversible steps

Start troubleshooting with the fewest changes possible: confirm your regular network works, check the client’s status and mode, look for a platform incident notice, then reproduce the issue with a minimal action that contains no sensitive data. If the browser fails, compare with a clean profile. If a plugin fails, check where it runs. If an API fails, distinguish connection, authentication and application responses. Record each result so you don’t repeat checks that have already ruled something out.

If you need to compare routes, save your current settings first, then choose an alternative that meets the platform’s region requirements. Keep the account, device and test input similar. If only the original route fails, ask 9DVPN support to investigate the difference. If every path returns the same permissions notice, check the target platform account instead. Don’t start by reinstalling the client; that could erase logs and settings and make the original issue harder to understand.

When contacting support, include the platform, client mode, target tool entry point, failed action, error message and checks you’ve already completed. Redact account identifiers, conversation content and credentials from screenshots. Browser network exports may contain cookies, request headers and uploads; don’t send them in full without checking. To open a support request, use the Contact page. Don’t share your configuration in public comments.

For Long-Term Use: Stable Settings & the Right Plan

Once you have a stable setup, record the working region, app settings and verification steps, and recheck the relevant parts after system or plugin updates. Avoid changing every setting to chase a one-off test result. 9DVPN supports Windows / macOS / iOS / Android / Linux and has no limit on the number of devices online at once. Check each device’s actual app egress separately; sharing an account doesn’t mean every device uses the same route.

Choose a data allowance based on how you actually work. Plain text chats use data differently from frequent file uploads and image downloads, so don’t estimate usage just by how often you open a webpage. Monthly plans are ¥9.9/month for 60GB, ¥18/month for 250GB and ¥28/month for 500GB. Data resets monthly on the activation date. Mid-cycle upgrades are prorated for the remaining days. Check the Plans page for all options and details; a network plan isn’t an AI platform membership.

If your usage varies, compare data packs: ¥158/300GB, ¥358/1000GB and ¥658/3000GB. Data lasts until used and never expires. 9DVPN offers a 30-day money-back guarantee and supports Alipay / WeChat Pay / USDT. Choose a payment option based on actual usage in your dashboard and your work schedule, not unsupported speed claims or a single experience.

If you haven’t finished the basic setup, return to the Quick Start and follow the main steps. Windows users can also refer to Windows: From Installation to Subscription Import. This page explains symptoms and how to narrow them down; it doesn’t replace current AI platform policies. Keep a baseline, verify one thing at a time and revert changes that don’t help. That makes the next troubleshooting session shorter instead of adding settings no one can explain.