POST /api/chat

res.json

{
    "context": {
        "companyName": "klklklkl",
        "industry": "consumer-products",
        "focusAreas": "",
        "searchAperture": {
            "technologyLens": "tech-agnostic",
            "technologyLensNotes": {},
            "guidance": {},
            "modalities": [],
            "industryPerimeter": [],
            "innovationAmbition": [],
            "valueChainFocus": [],
            "timeHorizon": [],
            "focusAreas": []
        },
        "opportunityFramework": {
            "levels": [
                "deploy",
                "reshape",
                "invent"
            ],
            "targetLevel": "invent",
            "qualificationCriteria": [],
            "downgradeRules": [],
            "retainDowngraded": false
        },
        "strategicContext": {}
    },
    "candidates": [],
    "clusters": [],
    "clusterFreshness": "missing",
    "projectId": "01KVQQAVR233QXPZCW1E9WTDRC",
    "threadId": "01KVT5KSV22FBBHCMERY1A59WG",
    "id": "01KVT5KSV22FBBHCMERY1A59WG",
    "messages": [
        {
            "role": "user",
            "parts": [
                {
                    "type": "text",
                    "text": "/dee"
                }
            ],
            "id": "bKfBnie0wezLfSaW"
        },
        {
            "id": "f7Oofe5CDPNcyXPx",
            "role": "assistant",
            "parts": [
                {
                    "type": "step-start"
                },
                {
                    "type": "text",
                    "text": "It looks like you've typed **/dee** — that might be the start of a command or a shorthand. Could you clarify what you meant? Here are some likely options:\n\n- **Deep dive** on a specific candidate — e.g., \"deep dive on candidate X\" (evidence audit, risk breakdown, competitive landscape, etc.)\n- **Delete** a candidate or cluster — e.g., \"delete cluster Y\"\n\nRight now the cockpit has **no active candidates or clusters**, so there's nothing to dive into yet.\n\n**To get started, you could:**\n1. **Add a candidate** — share a problem statement and hypothesis and I'll help shape it.\n2. **Run a synthesis scan** — if you have a project brief ready, we can seed the cockpit with candidates.\n3. **Import or describe** an opportunity area and I'll help structure it.\n\nWhat were you going for?",
                    "state": "done"
                }
            ]
        },
        {
            "role": "user",
            "parts": [
                {
                    "type": "text",
                    "text": "Slash command: /deep-research\nTitle: Deep research\nCategory: Research\nUser input: the current project context\n\nTask:\nUse the deep-research skill to investigate: the current project context\n\nExecution instructions:\n- Use the selected project context and this thread history. Do not include sibling thread history.\n- Call out source strength, gaps, and assumptions. Distinguish verified evidence from inference.\n- Return a concise, decision-useful answer with concrete next actions.\n- If the command changes candidates or clusters, explain what changed and what may need refresh afterward."
                },
                {
                    "type": "data-slashCommand",
                    "data": {
                        "command": "/deep-research",
                        "title": "Deep research",
                        "group": "Research",
                        "visibleText": "/deep-research",
                        "expandedPrompt": "Slash command: /deep-research\nTitle: Deep research\nCategory: Research\nUser input: the current project context\n\nTask:\nUse the deep-research skill to investigate: the current project context\n\nExecution instructions:\n- Use the selected project context and this thread history. Do not include sibling thread history.\n- Call out source strength, gaps, and assumptions. Distinguish verified evidence from inference.\n- Return a concise, decision-useful answer with concrete next actions.\n- If the command changes candidates or clusters, explain what changed and what may need refresh afterward."
                    }
                }
            ],
            "id": "GFRwp5j46fGRuPKf"
        },
        {
            "id": "BI9iqVmMOXPlpjBr",
            "role": "assistant",
            "parts": [
                {
                    "type": "step-start"
                },
                {
                    "type": "tool-searchBayerWikiEvidenceSet",
                    "toolCallId": "toolu_0187Khe2GiEJcrbKFHskx685",
                    "state": "output-available",
                    "input": {
                        "queries": [
                            "consumer products innovation AI strategy",
                            "klklklkl company consumer products",
                            "consumer products AI opportunity landscape 2025 2026",
                            "consumer products proprietary data platform defensibility"
                        ],
                        "maxResults": 10
                    },
                    "output": {
                        "configured": false,
                        "ok": false,
                        "queries": [
                            "consumer products innovation AI strategy",
                            "klklklkl company consumer products",
                            "consumer products AI opportunity landscape 2025 2026",
                            "consumer products proprietary data platform defensibility"
                        ],
                        "searches": [
                            {
                                "configured": false,
                                "ok": false,
                                "query": "consumer products innovation AI strategy",
                                "error": "OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync."
                            },
                            {
                                "configured": false,
                                "ok": false,
                                "query": "klklklkl company consumer products",
                                "error": "OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync."
                            },
                            {
                                "configured": false,
                                "ok": false,
                                "query": "consumer products AI opportunity landscape 2025 2026",
                                "error": "OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync."
                            },
                            {
                                "configured": false,
                                "ok": false,
                                "query": "consumer products proprietary data platform defensibility",
                                "error": "OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync."
                            }
                        ],
                        "citations": [],
                        "sources": [],
                        "warnings": [
                            "consumer products innovation AI strategy: OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync.",
                            "klklklkl company consumer products: OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync.",
                            "consumer products AI opportunity landscape 2025 2026: OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync.",
                            "consumer products proprietary data platform defensibility: OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync."
                        ],
                        "error": "consumer products innovation AI strategy: OpenAI wiki File Search is not configured. Set OPENAI_API_KEY and OPENAI_WIKI_VECTOR_STORE_ID after running bun run wiki:openai:sync."
                    },
                    "callProviderMetadata": {
                        "anthropic": {
                            "caller": {
                                "type": "direct"
                            }
                        }
                    },
                    "resultProviderMetadata": {
                        "anthropic": {
                            "caller": {
                                "type": "direct"
                            }
                        }
                    }
                },
                {
                    "type": "step-start"
                },
                {
                    "type": "tool-searchNaviKnowledge",
                    "toolCallId": "toolu_01UTLJEqAgNipNcK4tzZNkk4",
                    "state": "output-available",
                    "input": {
                        "query": "consumer products AI innovation strategy proprietary platform",
                        "mode": "anchor",
                        "topK": 8
                    },
                    "output": {
                        "configured": false,
                        "ok": false,
                        "query": "consumer products AI innovation strategy proprietary platform",
                        "error": "BCG Navi MCP is not configured. Set BCG_NAVI_AUTH_TOKEN (and optionally BCG_NAVI_AUTH_HEADER_NAME). Auth scheme is pending — see TODO(mohan)."
                    },
                    "callProviderMetadata": {
                        "anthropic": {
                            "caller": {
                                "type": "direct"
                            }
                        }
                    },
                    "resultProviderMetadata": {
                        "anthropic": {
                            "caller": {
                                "type": "direct"
                            }
                        }
                    }
                },
                {
                    "type": "tool-searchExpertTranscripts",
                    "toolCallId": "toolu_01DV9RmVRXYiPuBWh2xT2bH1",
                    "state": "output-available",
                    "input": {
                        "query": "consumer products AI innovation defensible platform opportunity 2025",
                        "mode": "anchor",
                        "topK": 8
                    },
                    "output": {
                        "configured": false,
                        "ok": false,
                        "query": "consumer products AI innovation defensible platform opportunity 2025",
                        "disclaimer": "This information is sourced from BCG's Transcript Library and is for internal research purposes only. Do not quote directly in client deliverables. Always verify information independently before use.",
                        "error": "BCG Transcript Library MCP is not configured. Set BCG_TRANSCRIPT_AUTH_TOKEN (and optionally BCG_TRANSCRIPT_AUTH_HEADER_NAME). Auth scheme is pending — see TODO(mohan)."
                    },
                    "callProviderMetadata": {
                        "anthropic": {
                            "caller": {
                                "type": "direct"
                            }
                        }
                    },
                    "resultProviderMetadata": {
                        "anthropic": {
                            "caller": {
                                "type": "direct"
                            }
                        }
                    }
                },
                {
                    "type": "step-start"
                },
                {
                    "type": "text",
                    "text": "## Deep Research: Current Project Context\n\n---\n\n### What I Can Confirm (Verified)\n\nHere is an honest read of what the project context actually contains versus what is missing or uncertain.\n\n**Confirmed from the project brief:**\n\n| Attribute | Value | Status |\n|---|---|---|\n| Company | klklklkl | Confirmed — placeholder name, no real-world entity identified |\n| Industry | consumer-products | Confirmed |\n| Focus areas | Not specified | Gap |\n| Technology lens | Tech-agnostic | Confirmed directive |\n| Modalities | Not specified | Gap |\n| Industry perimeter | Not specified | Gap |\n| Innovation ambition | Not specified | Gap |\n| Value chain focus | Not specified | Gap |\n| Time horizon | Not specified | Gap |\n| Classification target | Invent (derived) | Confirmed |\n| Active candidates | 0 | Confirmed |\n| Active clusters | 0 | Confirmed |\n\n---\n\n### Research Infrastructure: What Is Working\n\n**All three external research tools are unconfigured:**\n- The Bayer wiki (internal corpus search) is not connected. The vector store has not been synced.\n- BCG Navi (case and framework library) is not authenticated.\n- BCG Transcript Library (expert voice) is not authenticated.\n\nThis means no external evidence can be retrieved to ground candidates. Any innovation hypothesis generated right now would be inference only, with no source citations.\n\n---\n\n### What This Means Strategically\n\n**The project is a blank slate with a high bar.** The Invent classification doctrine is active, which means:\n\n- Candidates must clear all eight Invent criteria: business reinvention, proprietary asset anchor, unmet need, defensibility, compounding advantage, company-led ownership, strategic independence, and operating-model fit.\n- Deploy (task automation) and Reshape (workflow reinvention) ideas will be downgraded unless they carry a hard-to-copy control point.\n- Without knowing klklklkl's actual capabilities, assets, data, or market position, it is impossible to assess \"right to win\" for any candidate. Every score would be speculative.\n\n---\n\n### Critical Gaps (in priority order)\n\n1. **Company identity.** \"klklklkl\" is a placeholder. No real-world company, category, or competitive position can be established. This is the single most important gap. No meaningful Invent scoring is possible without knowing who this company actually is.\n\n2. **Focus areas.** No scouting aperture is set. Consumer products is broad: it spans FMCG (fast-moving consumer goods), beauty, food and beverage, household goods, apparel, electronics accessories, and more. The aperture needs narrowing.\n\n3. **Value chain position.** Is klklklkl a brand owner, a retailer, a manufacturer, a platform, or a supplier? This determines where proprietary assets live and what \"ownership\" means.\n\n4. **Existing capabilities and data.** Invent candidates require company-specific anchors. Without knowing what data, IP, or operating assets klklklkl controls, no defensibility claim can be grounded.\n\n5. **Research tools offline.** Wiki, Navi, and Transcript Library are all unconfigured. Evidence will be limited to web search via competitive landscape and patent tools until these are connected.\n\n---\n\n### Assumptions the Framework Is Currently Making\n\n| Assumption | Risk if wrong |\n|---|---|\n| Consumer products is the right industry | Moderate — if the real company spans multiple sectors, the aperture is too narrow |\n| Invent is the right ambition level | Low — it is set as a project directive, but without real candidates it cannot be validated |\n| Tech-agnostic lens is correct | Low — explicitly set, defensible for early-stage scouting |\n\n---\n\n### Concrete Next Actions\n\n**Before any candidate work can be meaningful:**\n\n1. **Clarify the company.** Who is klklklkl? Share the real company name, category, and a brief description of its current business. This unlocks every downstream analysis.\n\n2. **Set at least one focus area.** What problem space or capability gap prompted this innovation scan? Even one sentence narrows the aperture enough to generate grounded candidates.\n\n3. **Identify proprietary assets.** What does klklklkl own that others do not? Data sets, consumer relationships, manufacturing, distribution, brand trust, or IP. These are the Invent anchors.\n\n4. **Connect research tools.** Configure the wiki vector store, Navi, and Transcript Library to enable evidence-backed scoring. Right now, any candidate DVFS scores would be opinion, not evidence.\n\n5. **Then add or scan for candidates.** Once the above is in place, I can help generate and score Invent-level opportunities grounded in the company's actual position.\n\n---\n\n**Bottom line:** The project is structurally set up correctly (Invent doctrine, tech-agnostic lens, sound DVFS framework), but it has no content to work with yet. The most valuable next move is answering: *who is klklklkl and what do they own?*",
                    "state": "done"
                }
            ]
        },
        {
            "role": "user",
            "parts": [
                {
                    "type": "text",
                    "text": "what is time now in morocco?"
                }
            ],
            "id": "M7Vg1JE1xodIjmdt"
        },
        {
            "id": "ZYFQIclUhJuFcG1A",
            "role": "assistant",
            "parts": [
                {
                    "type": "step-start"
                },
                {
                    "type": "text",
                    "text": "That's outside my scope as your innovation strategy advisor for klklklkl. I'm focused on helping you develop, score, and refine innovation candidates in the consumer-products space.\n\nIf there's a connection to the project — for example, if Morocco is a relevant market for klklklkl — I'm happy to explore that angle.\n\nOtherwise, a quick web search will get you the current local time there instantly.",
                    "state": "done"
                }
            ]
        },
        {
            "role": "user",
            "parts": [
                {
                    "type": "text",
                    "text": "Slash command: /deep-research\nTitle: Deep research\nCategory: Research\nUser input: TPU history?\n\nTask:\nUse the deep-research skill to investigate: TPU history?\n\nExecution instructions:\n- Use the selected project context and this thread history. Do not include sibling thread history.\n- Call out source strength, gaps, and assumptions. Distinguish verified evidence from inference.\n- Return a concise, decision-useful answer with concrete next actions.\n- If the command changes candidates or clusters, explain what changed and what may need refresh afterward."
                },
                {
                    "type": "data-slashCommand",
                    "data": {
                        "command": "/deep-research",
                        "title": "Deep research",
                        "group": "Research",
                        "visibleText": "/deep-research TPU history?",
                        "expandedPrompt": "Slash command: /deep-research\nTitle: Deep research\nCategory: Research\nUser input: TPU history?\n\nTask:\nUse the deep-research skill to investigate: TPU history?\n\nExecution instructions:\n- Use the selected project context and this thread history. Do not include sibling thread history.\n- Call out source strength, gaps, and assumptions. Distinguish verified evidence from inference.\n- Return a concise, decision-useful answer with concrete next actions.\n- If the command changes candidates or clusters, explain what changed and what may need refresh afterward."
                    }
                }
            ],
            "id": "3DFNRNkMUETNzcNK"
        },
        {
            "id": "2M1DZoXAaXt8y92b",
            "role": "assistant",
            "parts": [
                {
                    "type": "step-start"
                },
                {
                    "type": "text",
                    "text": "\"TPU history\" sits outside my scope as your innovation strategy advisor for klklklkl. I cover innovation strategy, candidate analysis, and competitive dynamics in the consumer-products space.\n\n**Possible relevant angle:** If you are asking about TPU (thermoplastic polyurethane) as a material in consumer products — packaging, footwear, wearables, or similar — that could connect to an innovation candidate. Likewise, if you mean Google's Tensor Processing Unit in the context of an AI infrastructure decision, I can assess whether that is relevant to a klklklkl capability build.\n\nTell me which direction you had in mind and I will engage from there.",
                    "state": "done"
                }
            ]
        },
        {
            "role": "user",
            "parts": [
                {
                    "type": "text",
                    "text": "Slash command: /deep-research\nTitle: Deep research\nCategory: Research\nUser input: adsfadsf\n\nTask:\nUse the deep-research skill to investigate: adsfadsf\n\nExecution instructions:\n- Use the selected project context and this thread history. Do not include sibling thread history.\n- Call out source strength, gaps, and assumptions. Distinguish verified evidence from inference.\n- Return a concise, decision-useful answer with concrete next actions.\n- If the command changes candidates or clusters, explain what changed and what may need refresh afterward."
                },
                {
                    "type": "data-slashCommand",
                    "data": {
                        "command": "/deep-research",
                        "title": "Deep research",
                        "group": "Research",
                        "visibleText": "/deep-research adsfadsf",
                        "expandedPrompt": "Slash command: /deep-research\nTitle: Deep research\nCategory: Research\nUser input: adsfadsf\n\nTask:\nUse the deep-research skill to investigate: adsfadsf\n\nExecution instructions:\n- Use the selected project context and this thread history. Do not include sibling thread history.\n- Call out source strength, gaps, and assumptions. Distinguish verified evidence from inference.\n- Return a concise, decision-useful answer with concrete next actions.\n- If the command changes candidates or clusters, explain what changed and what may need refresh afterward."
                    }
                }
            ],
            "id": "y3M4h0s82vONps5j"
        }
    ],
    "trigger": "submit-message"
}