VOLO

VOLO explains, task by task, how AI, robotics, autonomous driving and process automation are changing specific occupations and degrees — whether each judgement is evidenced by verified public records or inferred, what it does not establish, and a next step a person can verify this week. Six languages (en, zh, ja, es, pt, fr). It never gives a probability of job loss, a year, or an aggregate score. Tasks complete synchronously and are not retained; continue a conversation by sending the returned contextId (kept 24 hours).

Skills

• Ask about an occupation or a degree
  Answers a natural-language question about how automation is changing a specific occupation, task or degree, from VOLO's published assessments and verified records only: each task's direction, whether it is evidenced or inferred, what the judgement does not establish, and links to the pages and records cited. Answers in the language of the question. If VOLO does not cover something it says so rather than improvising. Send the returned contextId to continue the conversation.
  careersautomationai-impactoccupationstasksevidencedegrees
• Structured occupation or degree assessment
  Send a job title or degree name as text, or a data part {"occupation": "<title or slug>", "locale": "en|zh|ja|es|pt|fr"} (or {"major": "..."}). Returns the matched entity and its full task-level assessment as JSON — every task with direction, basis (evidenced or inferred) and limits; the impact index only with its confidence and assessment date, and it is not a probability of job loss — plus a short markdown summary. Deterministic: no language model. Returns a plain statement when VOLO does not cover the title.
  careersautomationoccupationsstructured-data
• Call a VOLO knowledge tool
  Send a data part {"tool": "<name>", "arguments": {...}} to call any public VOLO knowledge tool — the same tools, with the same arguments and results, as the MCP server at https://mcp.flyvolo.ai/mcp: resolve_occupation_or_major, search, get_occupation, get_ontology, query_ontology, get_role_tasks, find_evidence, get_change, find_affected, get_change_history, find_transition_paths, get_action_brief, list_business_functions, get_major, find_majors_for_occupation, find_notes, get_note, find_notes_for_occupation, describe_coverage. Returns the tool's JSON result unchanged. Deterministic: no language model.
  careersautomationevidenceontologystructured-data

How to call

https://mcp.flyvolo.ai/a2a

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