Aion 3.0 with a signed-in browser: a reviewed team brief

Aion Labs currently lists the hosted model ID aion-labs/aion-3.0 and documents OpenAI-compatible chat completions with tool calls. That makes a local-agent workflow possible in principle, but the docs do not confirm the model-specific tool flag or a Tabbit integration. Check the live model entry and your client first. Then use Tabbit Browser with Tabbit CLI to read approved team pages in a separate task tab and prepare a named brief for review.

Use this recipe for a narrow task such as comparing a planning document with a team status page. Aion 3.0 is a hosted, closed-weight API model. It is distinct from aion-labs/aion-3.0-mini, which Aion Labs lists as a separate model based on the DeepSeek family. The full 3.0 listing says it is based on the GLM family and focuses on narrative generation, so do not assume it has been tuned for browser work.

Key takeaways

• Verify the live full-model ID and tool behavior in your client.

• Keep Aion 3.0 separate from Mini.

• Use a local host where Tabbit Browser is available.

• Save a named draft and stop for review.

Check the exact Aion route before enabling tools

Aion Labs documents its API under https://api.aionlabs.ai/v1/ and says it is compatible with OpenAI client libraries. Its reference says chat completions support tool calls. Those are API-level facts, not proof that every Aion model will emit the calls your agent expects. The model catalog is the final gate. The catalog page lists Aion 3.0 and Mini separately, with separate descriptions and prices. The table above deliberately keeps availability, tool execution, browser control, and website login as separate checks.

Official evidence: Aion Labs model catalog and API reference, Mistral Vibe skill syntax, and Tabbit CLI quick start.

Compare two approved pages and draft a change brief

Ask the agent to read only the team planning page and the corresponding status page. Give it a stable project ID and the fields you want compared. It should quote visible values, record each source URL, and mark missing or conflicting information instead of filling gaps. A Reddit user who tested Aion 3.0 for Spanish role-play praised its detail but reported repetition and said the Mini behaved better for that language in their own comparison. That is a narrow writing-use anecdote, not evidence about business dashboards or browser accuracy. Read the original discussion.

A second Aion 3.0 writer reported confusion between character details and repeated corrections. That is another creative-writing anecdote, not a dashboard test. Original post.

Use this prompt after the checks above. Replace bracketed inputs with approved values:

Use model ID `aion-labs/aion-3.0` only after confirming it is present in Aion Labs’ live model list and a harmless tool-call check succeeds in this client. From this local agent, invoke the installed Tabbit skill using the host’s documented syntax, then use Tabbit CLI to open two new task tabs in the existing Tabbit Browser session. Reuse the already signed-in account only for these approved URLs: [planning URL] and [status URL]. Compare project ID [ID] and fields [owner, target date, status]. Include the exact displayed text, date, page URL, and any disagreement. Create a browser-visible document titled “Aion 3.0 team brief — draft 01” with a “Needs human review” heading. Save it as a draft, reopen it, and verify the title, draft label, and source links. Do not send, publish, or change either source page. Stop for a person to review.

Use Tabbit as the local browser connection

Tabbit Browser keeps the work in task tabs separate from your ordinary tabs, so you can continue using the browser while the local agent reads. In a supported local host, discover the installed tabbit skill first. Some hosts expose /tabbit; Pi documents /skill:tabbit; Mistral Vibe CLI exposes user-invocable skills as /<skill-name>. Skill discovery is only one step. The model provider must still serve Aion 3.0, the client must be able to run local tools, Tabbit CLI must reach the selected browser instance, and the target site must already be signed in.

A local fixture in this environment verified that one named Tabbit CLI task could not read a protected page before sign-in, while a second task in the same browser environment could read the same page after a short-lived test cookie was set. Both tasks owned one task tab. This verifies session reuse by Tabbit CLI here; it does not test Aion, a provider, or a model-to-Tabbit integration. The final check should be the saved draft reopened in the editor, with source URLs and the review label visible.

When this is a poor fit

Skip the model-driven browser step if the exact model is absent, the client cannot load its local tool, or the account has not authorized the target workspace. Aion Labs describes this model around narrative generation; it does not publish browser-agent benchmarks in the docs reviewed here. If you only need a comparison outline, ask the model for the fields and checklist, then have a person use Tabbit Browser. Keep the API key in the client’s secret store, not in a prompt or browser document.

Related local steps: Tabbit CLI setup guide, connect an agent to a signed-in browser, first browser task checklist, browser MCP versus CLI, local versus cloud agents, research with source links, reuse a login session safely、Codex local-host example.

Secholar.L

Growth & Content at Tabbit

Secholar.L writes hands-on guides about AI browsers and agent workflows, comparing tools with real research and citing verifiable sources.