GPT-5.5 can compare a record across two signed-in websites when it runs inside a local agent client with browser access. Use the same stable ID on both sites, record each field with its own source URL, and leave conflicts unresolved for human review. Tabbit Browser plus Tabbit CLI gives a local client access to the target signed-in browser environment; the model alone does not carry your login. This walkthrough is a read-only example, not a claim that a specific third-party GPT-5.5 client integration was tested.
OpenAI currently lists the API alias gpt-5.5 and pinned snapshot gpt-5.5-2026-04-23. Its October 14, 2026 release note says GPT-5.5 was retired from ChatGPT, ChatGPT Work, and Codex, while API access was unaffected. (model page, release notes)
Key takeaways
Use one stable record ID across both sites; names and titles can collide.
Keep each observation tied to its own URL and label discrepancies instead of guessing which site is right.
Check API model availability, client support, Tabbit skill discovery, launcher reachability, and site sign-in separately.
A task tab lets the agent compare pages while you continue using other tabs in the same Tabbit environment.
Keep the task read-only and review the comparison before changing either source system.
The comparison workflow at a glance
| Stage | Agent action | Human checkpoint |
|---|---|---|
| Identify | Search site A and site B using the same immutable ID | Confirm both result pages show the same identifier |
| Observe | Read only the agreed fields and visible timestamps | Check that values are not hidden, stale, or truncated |
| Compare | Put each site's value in separate columns | Resolve conflicts using the source of record, not a guess |
| Draft | Open a named comparison note in the task tab | Review citations, then decide whether to export or update anything |
Check that GPT-5.5 is available where you plan to run it
OpenAI's API documentation currently lists gpt-5.5 and gpt-5.5-2026-04-23. That is the API identifier, not proof that every third-party client exposes it. Separately, OpenAI's October 14 notice retires GPT-5.5 from ChatGPT, Work, and Codex. It explicitly says this does not affect API access. So first decide which surface you mean: API model through an agent client, or a ChatGPT product picker.
| Layer | Question | Evidence to check |
|---|---|---|
| API model | Can the project call gpt-5.5? | Current model catalog and project permissions |
| Client | Can the client select that API model? | Client's provider/model documentation and settings |
| Skill | Does the client expose Tabbit's skill? | Its documented /tabbit, /skill:tabbit, or /skills mechanism |
| Launcher | Can Tabbit CLI reach the browser instance? | Installed CLI diagnostic and harmless test page |
| Session | Is the right account signed in? | Open the target site yourself in the intended Tabbit profile |
The API changelog says GPT-5.5 was released for both Chat Completions and Responses API. Model-specific tool support is separate from those API entry points, so configure the client based on the tools it actually supports. For more on the model, read the GPT-5.5 overview; for Pro's more compute-intensive request path, see using GPT-5.5 Pro with a signed-in browser.
Set up a local browser task
Install Tabbit Browser and its CLI using the Tabbit CLI quick start. In your agent client, discover or invoke the Tabbit skill using that client's documented syntax. Some clients use /tabbit; Pi documents /skill:tabbit; other clients expose a /skills list or automatic discovery. Skill discovery does not prove the CLI launcher is present or connected. Run its diagnostic separately, then confirm the intended Tabbit instance.
Sign in yourself in the target Tabbit profile before starting. Tabbit CLI can create a task-owned tab in the same browser environment so the agent can inspect both sites while you retain your regular tabs. Do not provide passwords or copied cookies to the model. If either site requests new authentication, MFA, or additional permission, stop and handle that prompt yourself.
Compare a record without guessing
Use a task with one identifier, two source URLs, and a short allowlist of fields. For example, compare ticket SUP-4821 in a support portal and a release tracker. Have the agent keep the values side by side: owner, status, updated_at, and release. If one page lacks a value, write not visible; if the values disagree, write conflict. Do not let the model choose the “correct” value based on plausibility.
This prompt makes the expected output concrete:
Use the local Tabbit browser through the installed Tabbit CLI.
Task name: SUP-4821 cross-site check
Find the exact ID SUP-4821 in [signed-in support portal] and [release tracker URL].
Read only these fields: owner, status, updated_at, release.
Return one table with columns: field, portal value, portal URL, tracker value, tracker URL, result.
For result, use match, conflict, or not visible. Never infer a missing value.
Keep the task read-only. Do not edit, close, submit, export, or change either record.
Open a note named "SUP-4821 comparison - review required" in the task tab.
Stop for human review. If login is missing or a page asks for permission, stop and tell me.The table is a working draft. Check the ID on both pages, confirm the observed timestamp and field labels, then review every URL. A record with the same title but a different ID is not a match. If a page is paginated, collapsed, or behind a permissions boundary, mark the field unresolved rather than asking the agent to bypass it.
Why use Tabbit Browser for the signed-in part
This workflow needs the site's existing browser session. Tabbit Browser and Tabbit CLI let a local agent work in the target Tabbit environment, with its own task tab, while you keep other tabs available. A separate environment test verified that a CLI task could read a localhost fixture after sign-in in a prior task. The fixture had a temporary test cookie and a known heading/record. That evidence is limited to CLI session reuse in that setup; it does not prove GPT-5.5 integration, behavior on a production portal, or any client-provider pairing.
Use the browser-agent first-task checklist to define scope, and connect an agent to an existing browser if the browser selection is unclear. Choose CLI or MCP for browser work based on where the agent runs. A remote runner needs a separately supported local handoff; a laptop login does not travel with the model request.
Keep the result named and visibly marked for review. Once a person has checked both pages, they can decide whether to update a record. The comparison task itself should not do that final write.
A user on Reddit described signing in manually before using a browser agent: “i log in myself once in a normal browser.” That is one person’s workflow, not proof of GPT-5.5 or Tabbit behavior. Read the original discussion.
For a related workflow, see the GPT-5.5 overview, the GPT-5.5 Instant browser guide, and the Tabbit CLI setup for Codex.
This article pairs with the Pro research-brief workflow.
Also see the Tabbit CLI complete guide for launcher setup.
Troubleshoot mismatches
If one site returns two records, require the ID and any tenant or project scope before reading. If timestamps differ, include each site's displayed time zone and do not normalize silently. If the values conflict, preserve both observations and route the decision to the person who owns the source-of-truth policy. If the record is hidden, stop. Do not turn a read-only comparison into an access workaround.
| Problem | Safe handling |
|---|---|
| Similar names, different IDs | Reject the match and search using the exact ID |
| One field missing | Mark not visible; do not fill from context |
| Values disagree | Mark conflict, cite both pages, and ask the owner |
| Login expired | Sign in manually in the intended Tabbit profile |
| Remote client cannot reach Tabbit | Create a checklist for a local handoff |
Next step
Try the prompt with a low-risk record and two pages you can inspect. Confirm both stable IDs and the source URLs before anyone acts on the comparison.
FAQ
Can GPT-5.5 compare records in signed-in websites?
Yes, when an agent client can run a local browser tool connected to the signed-in profile. Give it one stable record ID, read-only boundaries, and a required source URL for every field. Review the result before acting on it.
What API model ID should I use for GPT-5.5?
OpenAI lists gpt-5.5 and the snapshot gpt-5.5-2026-04-23. Check current project access and your client's model catalog before using a model ID.
Does GPT-5.5 still work in ChatGPT?
OpenAI's October 14, 2026 release note says GPT-5.5 was retired from ChatGPT, ChatGPT Work, and Codex. The same notice says API access is not affected, so verify the surface you intend to use.
How can I avoid mixing up similar records?
Search both sites with the same stable identifier, record the URL and observed value separately, and mark missing or conflicting fields as unresolved. Do not match records by name alone.
Can an agent edit the source records after comparing them?
Keep this workflow read-only. Have the agent prepare a proposed change in a named draft, then ask a person to verify the evidence and make any approved update.
What if the browser task runs remotely?
A remote runner cannot use the local browser session unless a supported connection is configured. Otherwise, let it prepare a checklist and run the site checks in a local agent or by hand.