To combine public web research with a signed-in work area using GPT-5.6 Terra, first confirm that your model provider and local agent client expose the exact model. Then connect a local agent to Tabbit Browser with Tabbit CLI, where you sign in yourself. Ask for a cited research brief and stop at a named draft for human review. OpenAI model card and the current migration guide document the model route and successor status.
GPT-5.6 Terra is now a previous-generation model. OpenAI’s current API guide recommends moving new workloads to GPT-6 models; it specifically says to compare GPT-6.1 Terra against GPT-5.6 Terra on representative images and workflows. Do not confuse GPT-5.6 Terra with GPT-6.1 Terra, or with the separate GPT-5.6 Cyber route.
Research briefs often mix public claims with material visible only after login. Keep those evidence sets separate. Use public pages for claims anyone can verify; use an authenticated page only when the account owner authorized that exact workspace and task.
Two r/codex comments show why a browser trial should test a task rather than assume Terra is the middle option. One user wrote, “I have never used Terra till now”; another said, “I use it as my implementation agent.” These are different personal workflows, not controlled comparisons. Read the discussion.
Key takeaways
Confirm the exact model ID and provider before choosing a client.
Skill discovery, local CLI reachability, and website login are separate checks.
Keep the first run read-only and scoped to pages you are authorized to use.
Use a separate task tab so your regular Tabbit Browser tabs remain available.
Review a named draft and its source links before any change or external action.
How to scope the brief
Start with a question a reader can verify, such as: “Which three vendors publish an export policy, and where is each policy stated?” Define the fields before opening pages. For every claim, capture the exact URL, page title, a short supporting excerpt, access type (public or signed-in), and uncertainty. Exclude private customer details and unrelated tabs.
The two inventories answer different questions. The first defines what the agent may inspect. The second defines the evidence a reviewer needs.
| Check | What to record | Stop condition |
|---|---|---|
| Public research | Exact URL, title, excerpt, and date | Source does not support the claim |
| Signed-in source | Approved workspace and page URL | Account or page is outside scope |
| Model route | Exact ID, provider, and client | Model is absent or route is unclear |
| Result | Claim, evidence, and uncertainty | No link or unsupported inference |
Evidence to collect
Ask the agent to cite page-level links and label a claim “not found” rather than fill a gap. Do not treat a model’s tool declaration as proof that a client has enabled a browser, or that a website session is authorized. The OpenAI model card says the Responses API can use computer-use tools. Your application still supplies the runtime and permissions.
| Brief field | Reviewer check | Keep if |
|---|---|---|
| Claim | Does the page state it directly? | The excerpt supports the wording |
| Source type | Public or authenticated? | Access label is accurate |
| Link | Does it open the cited page? | The URL is specific and authorized |
| Unknowns | What was not verified? | Gaps stay visible |
A staged run can use the same query twice: first on public documentation, then on one approved signed-in source. Compare the resulting claims and preserve which source supports each statement. If the login page redirects, asks for credentials, or displays a permission error, stop and ask the account owner to resolve it.
Put the research into Tabbit Browser
The local workflow is useful when a source exists behind a login you already own. Sign in to the target site in Tabbit Browser, then let a compatible local agent use Tabbit CLI. The CLI opens a separate task tab, so you can continue using your regular tabs. The Tabbit CLI quick start documents existing-login reuse. It does not mean every AI client has the same skill command or that a remote runner can reach your computer. See the Tabbit CLI quick start for the documented local setup.
Skill discovery and runtime reachability are separate checks. Some clients use /skills; Pi uses /skill:tabbit. Follow your client’s documented syntax, confirm the Tabbit skill is installed, and then check the CLI can connect locally. Do not paste passwords, session cookies, API keys, or personal records into a prompt.
Use this prompt as a test fixture. It asks for a bounded brief and creates a review checkpoint; it does not claim a GPT-5.6 Terra provider integration was tested.
Research this question using only the public sources and the one signed-in workspace I name: [question]. Return a short brief with claim, exact page URL, page title, supporting excerpt, access type (public or signed-in), and uncertainty. Do not infer missing facts. Do not open unrelated tabs or expose personal data. Save as “Vendor export-policy brief — review” and stop. Do not edit or submit anything.Draft name: “Vendor export-policy brief — review”. The agent should stop after saving the draft. Review every URL and quote in Tabbit Browser before sharing it.
How to decide whether Terra is a viable route
OpenAI’s API catalog lists gpt-5.6-terra, computer use, and Responses API tools. OpenAI’s newer migration guide points new work toward GPT-6 and says to compare GPT-6.1 Terra using the same effort and representative workflows. A client dropdown, model catalog entry, or skill file alone does not establish that your provider has enabled GPT-5.6 Terra. Check the exact model ID, provider, client, local tool permission, and signed-in target environment separately.
For fresh browser work, a currently supported successor may be the sensible default. If you must preserve a GPT-5.6 workflow, run a small read-only comparison and record the exact model ID and provider response. Stop before edits, submissions, purchases, or messages.
Choose the route by work and access
Public research does not require a signed-in session. A login is appropriate only for pages the account holder is authorized to use. If the model is unavailable, switch to a verified current route or ask a person to prepare an approved export. Never route sensitive browser work through an unverified third-party endpoint.
For a first trial, sign in to one approved source, collect three claims with direct links, save the named draft, and compare each claim with its page. Continue only if the model route, runtime, access scope, and citations all check out.
Related reading
FAQ
Is GPT-5.6 Terra still the latest model?
No. OpenAI’s current API guide introduces GPT-6 models as the current family and describes GPT-5.6 as a previous model. GPT-6.1 Terra is a different model ID from GPT-5.6 Terra.
Can GPT-5.6 Terra use a browser?
The model card lists computer-use support through the Responses API. A client or agent still needs to provide the browser tool, local runtime, permissions, and an authorized session.
Can it reuse my website login?
A local agent can use the signed-in Tabbit Browser environment through Tabbit CLI. The website login is held in the browser, not supplied as a password in the prompt. Check the target account’s permissions before starting.
Does `/tabbit` work in every client?
No. Skill discovery differs by client. Some use `/skills`; Pi uses `/skill:tabbit`. Check that client’s instructions and confirm the local CLI runtime separately.
Can I run this from a hosted agent?
Only if the hosted product provides a supported local handoff to your browser. Do not assume that a remote process can reach local tabs.
What should the reviewer verify?
Check the named draft, each page URL, each excerpt, public versus signed-in labels, and any unresolved claim. Keep the first run read-only and do not submit forms or change records.