{ "platformId": "chatgpt-work", "taskSlug": "task-21594", "directAnswer": "Use ChatGPT Work to turn the dated price, yield, stability, risk, and economic evidence you supply into an interpretation review packet: trace each reading to its series, period, denominator, and model assumption, then show competing explanations and unanswered questions. It can compare evidence and pressure-test a model; it cannot certify data, determine materiality, set an investment view, decide suitability, approve a recommendation, trade, or communicate an investment decision. The task-rating evidence for this role is unavailable, so this is a controlled preparation workflow—not a claim about current use or importance.", "topUseCases": [ { "interventionId": "task-21594:scenario-forecast-with-spine:assist", "taskId": "task-21594", "task": "Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.", "workflowId": "scenario-forecast-with-spine", "authorityMode": "assist", "centralityScreen": { "value": null, "importance": null, "occupationalRelevance": null, "frequency": { "kind": "unavailable", "reason": "O*NET 30.3 publishes task statements for 13-2051.00 while task-rating collection remains in progress; no importance, relevance, or frequency rows are available.", "sourceField": "onet-30.3:Task Ratings[13-2051.00]=no-rows" } }, "agentFit": { "value": 0.9025, "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2" }, "distribution": { "value": 0.9, "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-21594].observed-distribution" }, "evidenceConfidence": "unavailable", "withinGateScore": null, "gate": { "status": "limited", "reason": "Authority remains below an approval-required intervention." }, "capabilityIds": [ "connected-apps-files", "browser-research-actions" ], "expectedArtifact": "Interpretation walkthrough of supplied data with each reading tied to its series and window", "humanReviewPoint": "You judge what the data means for the program; the agent explains what it shows.", "riskLevel": "high" } ], "workflows": [ { "id": "scenario-forecast-with-spine", "goal": "Walk the interpretation of the data you supply with every reading tied to its series, window, and denominator, and every rival explanation kept alive until evidence retires it.", "inputs": [ "Your data: series, filings, model inputs, with their vintages", "The question the interpretation must answer, and your priors" ], "connectedSystems": [ "Spreadsheet or model surface", "Document repository" ], "steps": [ "Stamp every input with its as-of date, source, and denominator; the occupational data here carries labor-market evidence, not live market data, and the draft says so.", "Tie each candidate reading to the exact series, window, and model assumption it depends on — a reading that cannot name its window is a guess.", "For every material reading, keep at least one rival explanation on the page with the evidence that would separate them.", "Run sensitivity on the readings doing the most work, and close with the questions the data cannot settle." ], "expectedArtifact": "Interpretation walkthrough with each reading tied to its series and window, rival explanations, sensitivities, and open questions", "starterPrompt": "Here is my data with vintages, and the question I am trying to answer. Walk me through the interpretation: tie each reading to its series, window, and denominator; for every material reading, give at least one rival explanation and the evidence that would separate them; run sensitivity on the readings doing the most work; and end with the questions this data cannot settle. If I ask you to settle on an investment view, decline and show me the competing readings against my own priors instead.", "humanReviewPoint": "Which reading becomes the house view, materiality, and anything that becomes a recommendation are yours.", "commonFailure": "A walkthrough that quietly promotes one explanation to fact, or hides the window and denominator a reading depends on." } ], "setupRecommendations": [ { "item": "Use an analysis- and reporting-cut-off-scoped, read-only workspace with dated source series, metric definitions, model logic, approved methodology, and review requirements; keep model writes, trading, recommendation publication, client data, and external communication disconnected.", "rationale": "Interpretation needs reproducible inputs and a challengeable chain of reasoning, not authority to certify data, establish an investment view, or act on it.", "capabilityIds": [ "connected-apps-files", "approval-enterprise-controls" ] } ], "prompts": [ { "id": "interrogate-model", "title": "Interrogate my model", "prompt": "Here is my model logic. Red-team it: which assumptions are doing the most work, what breaks first, and what would a skeptical investment-committee member ask?", "expectedArtifact": "Red-team memo on the model", "humanReviewPoint": "You decide what to change; the memo pressures, it does not decide." } ], "humanOwnedResponsibilities": [ "Series-and-window law: the accountable analyst fixes the source, as-of date, population, unit, denominator, comparison window, and data-quality treatment before reading a signal", "Measure-and-meaning law: price, yield, return, volatility, liquidity, stability, correlation, trend, estimate, and outcome are not interchangeable evidence", "Model-and-inference law: a sensitivity, correlation, scenario, and stress result can test an interpretation but do not by themselves establish causation or a forecast", "Mandate-and-recommendation law: an interpretation cannot infer suitability, objectives, constraints, authority, allocation, or permission to recommend or trade", "Review-and-release law: authorized investment, risk, compliance, and relationship owners decide what is validated, relied on, communicated, or acted upon" ], "risks": [ { "id": "task-21594-scaffold-risk", "level": "medium", "description": "An interpretation can conceal a changed denominator, incomparable time window, stale or incomplete series, correlation presented as explanation, or model result presented as investment judgment.", "mitigation": "Register source, date, unit, denominator, method, and evidence state for each reading; test alternative windows and explanations; preserve limitations; and require authorized analyst, risk, and compliance review before recommendation, communication, or action." } ], "sources": [ { "id": "occupation-financial-and-investment-analysts", "title": "Financial and Investment Analysts occupational render model", "url": "https://singulariki.com/roles/financial-and-investment-analysts", "publisher": "gold.onet_role_starter_surface", "lastReviewedAt": "2026-06-03" }, { "id": "openai-chatgpt-work", "title": "ChatGPT Work and Codex", "url": "https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" }, { "id": "openai-work-deliverables", "title": "Creating and editing documents, spreadsheets, and presentations with ChatGPT Work", "url": "https://help.openai.com/en/articles/20001278-creating-and-editing-documents-spreadsheets-and-presentations-with-chatgpt-work", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" }, { "id": "openai-work-cloud-browser", "title": "Using cloud browser in ChatGPT", "url": "https://help.openai.com/en/articles/20001280-using-cloud-browser-in-chatgpt", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" }, { "id": "openai-work-desktop-browser", "title": "Using the built-in browser in the ChatGPT desktop app", "url": "https://help.openai.com/en/articles/20001277-using-the-built-in-browser-in-the-chatgpt-desktop-app", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" }, { "id": "openai-chatgpt-skills", "title": "Skills in ChatGPT", "url": "https://help.openai.com/en/articles/20001066", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" }, { "id": "openai-chatgpt-scheduled-tasks", "title": "Scheduled Tasks in ChatGPT", "url": "https://help.openai.com/en/articles/10291617-tasks-in-chatgpt", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" }, { "id": "openai-workspace-agents", "title": "ChatGPT Workspace Agents for Enterprise and Business", "url": "https://help.openai.com/en/articles/20001143", "publisher": "OpenAI", "lastReviewedAt": "2026-07-11" } ], "freshness": { "platformVersion": "2026-07-09-launch", "platformReviewedAt": "2026-07-11", "occupationalDataVersion": "O*NET 30.3", "occupationalDataGeneratedAt": "2026-06-03T05:05:52.989984+00:00" }, "quality": { "uniqueOccupationalOrTaskEvidence": false, "validPlatformSpecificWorkflow": true, "clearOutputArtifact": true, "realCapabilityMatch": true, "meaningfulHumanReviewSection": true, "sourcesAndFreshness": false, "distinctInternalRelationships": true, "noUnresolvedFactualOrProductVersionFailure": false, "indexable": false } }