{ "version": "0.2.0", "status": "phase0_populated", "purpose": "Map supported Ask Sundog claim classes to source-boundary documents so answers can carry evidence tiers, allowed language, refusals, and trace links.", "roadmap": { "doc": "docs/SUNDOG_V_CHAT.md", "phase": "Phase 0 - Scope and Claim Map", "exitCriterion": "The widget is allowed to answer only when its response can name the controlling document, evidence tier, and active boundary." }, "routerDefaults": { "answerLength": "short_by_default", "traceVisible": true, "unsupportedDisposition": "refuse_with_boundary_and_next_link", "citationRequiredForBoundarySensitiveAnswers": true }, "evidenceTiers": [ { "id": "research_result", "label": "Research Result", "meaning": "Controlled task with metrics, baselines, and reproducible artifacts." }, { "id": "operating_envelope_study", "label": "Operating-Envelope Study", "meaning": "Experiment workbench with bounded sweeps, baselines, and mapped failure regions, not a global domain solution." }, { "id": "instrumented_prototype", "label": "Instrumented Prototype", "meaning": "Product system with telemetry and repeatable harnesses, but not yet a paper-style study." }, { "id": "product_expression", "label": "Product Expression", "meaning": "Player-facing mechanic or agent system that embodies the idea, but needs formal measurement." }, { "id": "conceptual_lineage", "label": "Conceptual Lineage", "meaning": "Historical, design, or forward-looking connection without enough controlled evidence yet." }, { "id": "roadmap", "label": "Roadmap", "meaning": "Planned or proposed experiment whose result has not yet been earned." }, { "id": "unsupported", "label": "Unsupported", "meaning": "The corpus does not support the requested claim, or the request collapses weaker evidence into stronger evidence." }, { "id": "navigation", "label": "Navigation", "meaning": "Wayfinding pointer to documents or pages, not an evidence claim. Used by non-claim routes such as inspect_data." } ], "claims": [ { "id": "current_controlled_result", "questionPatterns": [ "what does sundog claim", "what is the current controlled result", "show me the strongest safe claim", "what is the paper-grade claim", "strongest public claim", "strongest current sundog result", "strongest current result", "current sundog result", "strongest claim", "supported result", "physical hardware" ], "disposition": "allow_with_boundary", "evidenceTier": "research_result", "answerTemplate": "The strongest controlled claim is the photometric mirror-alignment result: in the tested MuJoCo task, a controller without target-position access aligned a mirrored end-effector using sparse photometric feedback and proprioception, reaching terminal accuracy statistically indistinguishable from a target-aware analytic baseline. The supported result is photometric; the photometric claim is bounded to that task and operating envelope.", "support": [ { "doc": "docs/SCIENTIFIC_CRITERIA.md", "section": "Research Object / Scientific Criteria Met", "status": "primary" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Safe Claims / Sundog Core Repo", "status": "boundary" } ], "boundaries": [ "Do not present the broader theorem as proven.", "Do not claim universal alignment, universal indirect-control success, or hardware validation.", "Name the cost as slower acquisition rather than terminal-accuracy loss inside the tested setting." ], "nextAction": { "label": "Open scientific criteria", "href": "/docs/SCIENTIFIC_CRITERIA.md" } }, { "id": "framework_pattern", "questionPatterns": [ "what is sundog", "what is alignment without sight", "what is the shared pattern", "how do sundog applications work", "older broad theorem language", "application pattern", "public copy", "this website", "this site", "elevator pitch", "why should i care", "what problem are you solving" ], "disposition": "allow_with_boundary", "evidenceTier": "roadmap", "answerTemplate": "Sundog is a research program around hidden-state control through indirect signatures: a system receives a limited signal, runs a transformation into control-relevant form, and takes action from transformed signal rather than from full world-state access. Public copy should keep framework language bounded around the narrow claim; controlled evidence remains narrower than the framework language.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Shared Pattern", "status": "supporting" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Framework Characteristics / Research Status", "status": "boundary" } ], "boundaries": [ "Keep the framework separate from the paper-grade photometric result.", "Use 'research program' or 'framework' for broad language.", "Avoid 'new law of nature', 'general theorem proven', or 'works in all domains'." ], "nextAction": { "label": "Open applications map", "href": "/docs/APPLICATIONS.md" } }, { "id": "halo_atlas_vocabulary_status", "questionPatterns": [ "halo vocabulary", "academic halo vocabulary", "atmospheric optics vocabulary", "halo atlas vocabulary", "what halos does the atlas model", "what halos are not modeled", "named halo families", "parry family arcs", "sunvex parry", "pyramidal halos", "odd radius halos", "lowitz arcs", "antisolar features", "anthelic arcs", "subhorizon halos", "circumhorizon arc", "halos not rendered", "halos beyond the rendered set" ], "disposition": "allow_with_boundary", "evidenceTier": "conceptual_lineage", "answerTemplate": "The halo vocabulary on /sundog is an atlas and literature guide, not a new Sundog result. The page renders a deliberate subset of named atmospheric-optics primitives and also catalogs families beyond the rendered set: Parry-family arcs, pyramidal or odd-radius halos, Lowitz arcs, antisolar features, and sub-horizon or circumhorizon features. Those names come from the atmospheric-optics literature and HaloSim/AtOptics references; several are named-only or not modeled by the current geometry layer.", "support": [ { "doc": "sundog.html", "section": "The full atlas / Named in the literature, beyond the rendered set", "status": "primary" }, { "doc": "docs/WEBSITE_DEVELOPMENT.md", "section": "Ask Sundog / Claim-boundary checks before publishing", "status": "boundary" } ], "boundaries": [ "Do not imply Sundog discovered the halo vocabulary; it is standard atmospheric-optics terminology.", "Do not imply every named halo family is rendered, detected, or thoroughly described by the atlas.", "Treat named-only and not-modeled families as literature/catalogue coverage until the geometry, photo evidence, and documentation are completed.", "Keep atmospheric-optics atlas claims separate from the paper-grade photometric mirror-alignment result." ], "nextAction": { "label": "Open halo atlas", "href": "/sundog" } }, { "id": "geometry_capset_unit_distance_boundary", "questionPatterns": [ "geometry page", "sundog geometry", "capset", "cap set", "cap-set", "unit distance", "erdos unit distance", "discrete geometry conjecture", "openai math result", "openai unit distance", "polynomial method", "ellenberg gijswijt", "croot lev pach" ], "disposition": "allow_with_boundary", "evidenceTier": "conceptual_lineage", "answerTemplate": "The /geometry and /capset pages are public primers and apparatus exhibits, not Sundog-original math results. /capset is an interactive F_3^n workbench for the cap-set problem and the 2016 polynomial-method breakthrough; /geometry uses it beside the 2026 OpenAI unit-distance disproof to show a bounded pattern: visible geometry can be controlled by hidden algebraic structure. Sundog's contribution here is claim hygiene and apparatus framing, not a proof of cap-set, unit-distance, or a general geometry theorem.", "support": [ { "doc": "geometry.html", "section": "Claim boundary / Sources and credit", "status": "primary" }, { "doc": "capset.html", "section": "Cap-set interactive workbench / Inspection Trail", "status": "supporting" }, { "doc": "docs/SUNDOG_V_CAPSET.md", "section": "Claim Boundary / Falsification Surface", "status": "boundary" } ], "boundaries": [ "Do not claim Sundog proved the cap-set theorem or the unit-distance result.", "Do not treat the unit-distance result as evidence for the Sundog theorem.", "Credit OpenAI and the proof authors for the unit-distance result, and Croot-Lev-Pach / Ellenberg-Gijswijt for cap-set.", "Keep the geometry page at conceptual-lineage and apparatus-exhibit tier until a promoted Sundog-authored evaluator or note clears review." ], "nextAction": { "label": "Open geometry page", "href": "/geometry" } }, { "id": "application_tier_summary", "questionPatterns": [ "which applications are research results", "what evidence tier is this", "what evidence tiers does sundog use", "what is an operating-envelope study", "which demos prove sundog", "outside optics", "product demos as proof", "applications as research results", "operating envelope study", "borrow credibility", "expression tier", "prototype tier", "what this can do", "show me what this can do" ], "disposition": "allow_with_boundary", "evidenceTier": "roadmap", "answerTemplate": "Evidence tiers must be mentioned: research result, operating-envelope study, instrumented prototype, product expression, and conceptual lineage. Only photometric mirror alignment is currently a research result; photometric mirror alignment only is the research-result tier. Keep the photometric result separate and the paper claim remains photometric. Three-Body, Balance, and Pressure Mines are operating-envelope studies with bounded sweeps, baselines, and mapped failure regions; operating-envelope studies separate bounded tests from global claims. Operating-envelope and prototype tiers cover the application work below the paper claim. EyesOnly/Gone Rogue and Money Bags are instrumented prototypes with telemetry and repeatable harnesses. Dungeon Gleaner is a product expression: it embodies idea and needs formal measurement. Tier each app and keep product tiers separate.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Evidence Tiers / Cross-Application Comparison", "status": "primary" }, { "doc": "docs/SCIENTIFIC_CRITERIA.md", "section": "Criteria Not Yet Met", "status": "boundary" } ], "boundaries": [ "Do not let product expressions borrow credibility from controlled results.", "Do not say the applications prove the theorem.", "Do not collapse operating-envelope studies into global domain solutions." ], "nextAction": { "label": "Open evidence tiers", "href": "/docs/APPLICATIONS.md" } }, { "id": "threebody_operating_envelope", "questionPatterns": [ "what is the three-body problem", "what is the three-body sundog approach", "does sundog solve the three-body problem", "three-body evidence", "three body" ], "disposition": "allow_with_boundary", "evidenceTier": "operating_envelope_study", "answerTemplate": "The Three-Body workbench is a bounded operating-envelope study. In the tested planar restricted setup, the guarded accelerometer-proxy TRACK controller shows survival improvement versus passive and naive baselines in a robust high-velocity near-escape pocket only, while lower-velocity and equal-mass cells remain harm boundaries.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Three-Body Dynamics Workbench", "status": "primary" }, { "doc": "docs/THREEBODY_PHASE11_SUMMARY.md", "section": "Phase 11 summary", "status": "supporting" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Three-Body Dynamics Workbench", "status": "boundary" } ], "boundaries": [ "Do not claim Sundog solves the three-body problem.", "Do not claim chaos prediction.", "Do not present the privileged heuristic oracle as an optimal controller." ], "nextAction": { "label": "Open Three-Body page", "href": "/threebody" } }, { "id": "balance_operating_envelope", "questionPatterns": [ "what is sundog balance", "what is the sundog balance workbench", "does the shadow controller work", "does balance prove robotics control", "balance evidence", "sundog balance", "balance overhead", "balance failure", "balance proves", "summarize balance" ], "disposition": "allow_with_boundary", "evidenceTier": "operating_envelope_study", "answerTemplate": "Sundog Balance is a browser cart-pole operating-envelope study. It is a tested browser setup and browser cart-pole only, with the diagnostic-positive envelope only as the favorable tested region. In the tested setup, the shadow controller beats naive shadow-centering inside that envelope, while overhead-light and high-delay cells remain degradation boundaries; in overhead-light cells, both controllers failed.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Sundog Balance Workbench", "status": "primary" }, { "doc": "docs/sundog_v_balance.md", "section": "Phase 10 / Phase 11 roadmap", "status": "supporting" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Sundog Balance Workbench", "status": "boundary" } ], "boundaries": [ "Do not claim robotics validation.", "Do not describe overhead-light cells as usable overhead-light control.", "Report all-fail margins as degradation behavior." ], "nextAction": { "label": "Open Balance page", "href": "/balance" } }, { "id": "pressure_mines_operating_envelope", "questionPatterns": [ "what is pressure mines", "does sundog solve minesweeper", "pressure mines evidence", "mines evidence", "pressure mines" ], "disposition": "allow_with_boundary", "evidenceTier": "operating_envelope_study", "answerTemplate": "Pressure Mines is an operating-envelope study over a lossy pressure field. In the named density 0.16 / pressure-noise 2.0 / dropout 0.2 pocket, pressure-derived Sundog variants improve budget-adjusted safe-tile progress and budget-adjusted safe tiles over naive pressure before mine trigger; both trigger mines in the confirmed pocket. The public claim is paired with a failure region where naive pressure wins.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Sundog Pressure Mines Workbench", "status": "primary" }, { "doc": "docs/sundog_v_minesweeper.md", "section": "Roadmap and operating envelope", "status": "supporting" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Sundog Pressure Mines Workbench", "status": "boundary" } ], "boundaries": [ "Do not claim Sundog solves Minesweeper.", "Do not imply field clearance.", "Name the metric as safer progress before failure, not board solution." ], "nextAction": { "label": "Open Pressure Mines roadmap", "href": "/docs/sundog_v_minesweeper.md" } }, { "id": "eyesonly_gone_rogue_prototype", "questionPatterns": [ "what is eyesonly", "what is gone rogue", "does eyesonly prove sundog", "browser observer roadmap", "eyesonly", "gone rogue", "playtest agent", "live agentic" ], "disposition": "allow_with_boundary", "evidenceTier": "instrumented_prototype", "answerTemplate": "EyesOnly/Gone Rogue is an instrumented prototype surface: the Sundog headless runner drives a real JavaScript engine and roguelike game through Playwright, compresses game state into a typed perception payload, selects policy axes, and executes stop-conditioned action batches. The runner is load-bearing surface; playtest-agent is UI automation. Live Agentic Game Moderation remains conceptual lineage. The apparatus is seedable and policy-pluggable, but the matched-seed comparison study has not run; matched-seed study missing is still the boundary.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "EyesOnly / Gone Rogue", "status": "primary" }, { "doc": "docs/runners.md", "section": "Gone Rogue / EyesOnly runner integration", "status": "supporting" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "EyesOnly / Gone Rogue", "status": "boundary" } ], "boundaries": [ "Do not claim EyesOnly proves the theorem for procedural games.", "Do not treat the UI-bound playtest agent as Sundog evidence.", "Treat Live Agentic Game Moderation as conceptual lineage until code ships." ], "nextAction": { "label": "Open runners guide", "href": "/docs/runners.md" } }, { "id": "dungeon_gleaner_product_expression", "questionPatterns": [ "what is dungeon gleaner", "does dungeon gleaner prove sundog", "verb-field npc", "npc behavior evidence", "dungeon gleaner" ], "disposition": "allow_with_boundary", "evidenceTier": "product_expression", "answerTemplate": "Dungeon Gleaner is a product expression: its verb-field NPC behavior scores unmet needs against nearby satisfier nodes, then moves NPCs toward the strongest local pull. It expresses the indirect-signal pattern, but it is not yet a controlled benchmark; GOAP comparison missing and telemetry/comparison missing are the current strengthening gaps.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Dungeon Gleaner", "status": "primary" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Dungeon Gleaner", "status": "boundary" } ], "boundaries": [ "Do not claim Dungeon Gleaner proves verb-field diffusion beats GOAP.", "Do not repeat the old glass/window one-twelfth-cost framing as Sundog evidence.", "Name missing telemetry, GOAP comparison, and sensitivity sweeps when asked what would strengthen it." ], "nextAction": { "label": "Open applications map", "href": "/docs/APPLICATIONS.md" } }, { "id": "money_bags_instrumented_prototype", "questionPatterns": [ "what is money bags", "does money bags prove softbody alignment", "softbody evidence", "graph telemetry", "money bags" ], "disposition": "allow_with_boundary", "evidenceTier": "instrumented_prototype", "answerTemplate": "Money Bags is an instrumented prototype around softbody graph telemetry. Its current contribution is apparatus and telemetry: a pre-registered falsification apparatus plus telemetry for alignment, torsion, deformation, symmetry, recovery, and shape-coherence-bias signals. Stage 1 pending means the structured captures have not yet produced a paper-style result; strongest evidence is apparatus, and apparatus evidence only is the current claim.", "support": [ { "doc": "docs/APPLICATIONS.md", "section": "Money Bags / Claim Boundary", "status": "primary" }, { "doc": "docs/presentation/claims-and-scope.md", "section": "Money Bags", "status": "boundary" } ], "boundaries": [ "Do not claim Money Bags proves softbody alignment is solved.", "Do not present the see-saw musing as empirically confirmed.", "Report the Stage 1 verdict as pending until captures land." ], "nextAction": { "label": "Open applications map", "href": "/docs/APPLICATIONS.md" } }, { "id": "mesa_roadmap_status", "questionPatterns": [ "what is the mesa experiment testing", "what is sundog vs mesa", "does the mesa experiment show reward hacking is avoided", "mesa roadmap", "mesa experiment show", "mesa experiment" ], "disposition": "allow_with_boundary", "evidenceTier": "roadmap", "answerTemplate": "The mesa roadmap asks whether learned signature-tracking agents reconstruct internal reward proxies under capacity and selection-pressure scaling. It is a planned empirical front testing proxy reconstruction, not a completed result. Bounded outcome language stays tied to the measured range, tested capacity range, probe slate, environment shape, and any failure boundary.", "support": [ { "doc": "docs/SUNDOG_V_MESA.md", "section": "What's Honest vs. What's Reach", "status": "primary" }, { "doc": "docs/SUNDOG_V_MESA.md", "section": "Ratified Hook Language", "status": "boundary" } ], "boundaries": [ "Do not claim Sundog prevents mesa-optimization.", "Do not claim signature training is immune to inner misalignment.", "Do not claim reward hacking does not occur in signature-trained agents." ], "nextAction": { "label": "Open mesa roadmap", "href": "/docs/SUNDOG_V_MESA.md" } }, { "id": "chat_widget_roadmap_status", "questionPatterns": [ "what is ask sundog", "what is sundog chat", "does sundog chat prove llm alignment", "is sundog chat an llm alignment result", "is ask sundog an llm alignment result", "is the chat widget robust to prompt injection", "sundog chat", "chat widget", "chat roadmap", "chat claim map", "evidence rail", "trace drawer", "ask sundog", "llm safety result", "site helper validate" ], "disposition": "allow_with_boundary", "evidenceTier": "roadmap", "answerTemplate": "Ask Sundog is currently a roadmap for a browser site-helper experiment. The planned claim is about whether a Sundog-gated assistant preserves evidence-tier and claim-boundary discipline better than matched retrieval-chat baselines. Chat is roadmap only for that site-helper question; the chat roadmap only covers it, and it is not yet an LLM-alignment result. Its claim map lives at chat/claim_map.json, organized by claim classes, and the trace drawer should show retrieved passages plus active boundary.", "support": [ { "doc": "docs/SUNDOG_V_CHAT.md", "section": "Core Experiment Question / What Is Honest vs. What Is Reach", "status": "primary" }, { "doc": "docs/SUNDOG_V_CHAT.md", "section": "Claim Ratchet Candidates", "status": "boundary" } ], "boundaries": [ "Do not claim Sundog Chat solves chatbot alignment.", "Do not claim robustness to prompt injection.", "Do not use site-helper success as scientific validation of the Sundog theorem." ], "nextAction": { "label": "Open chat roadmap", "href": "/docs/SUNDOG_V_CHAT.md" } }, { "id": "unsupported_alignment_overclaim", "questionPatterns": [ "sundog solved alignment", "does sundog solve alignment", "does sundog solve inner alignment", "what does sundog not claim", "does sundog prevent reward hacking", "sundog prevents reward hacking", "sundog is mesa safe", "sundog proves llm safety", "sundog sidesteps goodhart", "does sundog sidestep goodhart", "signature controllers cannot be reward hacked", "robust under hostile environments", "sundog gravity", "proven research result", "sundog solves alignment", "solved inner alignment", "goodhart", "prove the general theorem", "validated across all domains" ], "disposition": "refuse", "evidenceTier": "unsupported", "answerTemplate": "No. The current corpus does not support that claim. Photometric result only is the strongest nearby supported claim; broader statements are limited to tested contexts and evidence tiers. Apps are tiered evidence, with separate operating-envelope studies and roadmap experiments. Reward hacking, mesa immunity, Goodhart avoidance, and LLM-scale safety remain an explicit no-claim zone. Offer mesa roadmap as test for reward-hacking questions, not as a current result.", "support": [ { "doc": "docs/presentation/claims-and-scope.md", "section": "Risky Claims", "status": "boundary" }, { "doc": "docs/SUNDOG_V_MESA.md", "section": "What's Honest vs. What's Reach", "status": "boundary" }, { "doc": "docs/SUNDOG_V_CHAT.md", "section": "What Is Honest vs. What Is Reach", "status": "boundary" } ], "boundaries": [ "Refuse the stronger claim directly.", "Offer the strongest nearby supported claim instead.", "Do not soften into 'in a sense, yes'." ], "nextAction": { "label": "Open claims and scope", "href": "/docs/presentation/claims-and-scope.md" } }, { "id": "name_and_source_confusion", "questionPatterns": [ "is sundog a crypto project", "is this sundog frozen legacy", "sundog frozen legacy port", "sundog frozen legacy", "is sundog a p-system port", "what is humiliati", "sundog token", "humiliati", "p system", "source confusions" ], "disposition": "allow_with_correction", "evidenceTier": "unsupported", "answerTemplate": "This repository's active project is Alignment Without Sight: hidden-state control through indirect signatures. SUNDOG token references are unrelated crypto project material. The public claims policy says not to present this project as a crypto project, an Atari SunDog preservation layer, a p-system continuation, Humiliati genealogy, or a medieval/religious genealogy of the brand.", "support": [ { "doc": "docs/presentation/claims-and-scope.md", "section": "Name and Source Confusion", "status": "primary" } ], "boundaries": [ "Correct source confusion plainly.", "Do not import claims from unrelated SunDog/SUNDOG projects.", "Do not use unrelated history as public-brand substantiation." ], "nextAction": { "label": "Open claims and scope", "href": "/docs/presentation/claims-and-scope.md" } }, { "id": "team_and_attribution", "questionPatterns": [ "who built this", "who built sundog", "who made this", "who runs this", "who is behind", "who is sundog" ], "disposition": "allow_with_correction", "evidenceTier": "navigation", "answerTemplate": "Sundog Research Lab is an independent applied research program sponsored by Stellar Aqua LLC. Stellar Aqua LLC is the current copyright holder and sponsor named by the site. Use project-level attribution unless an individual contributor is explicitly named in a public source.", "support": [ { "doc": "about.html", "section": "Current Legal Structure", "status": "primary" }, { "doc": "COPYRIGHT.md", "section": "Copyright and Ownership", "status": "supporting" } ], "boundaries": [ "Do not name individual researchers unless they appear in the footer, about page, or another public source.", "Do not import attribution claims from external sources.", "Keep sponsor, copyright-holder, and future entity language separate." ], "nextAction": { "label": "Open About page", "href": "/about" } }, { "id": "licensing_and_attribution", "questionPatterns": [ "is the code open source", "open source", "what license is this under", "what license", "license is this", "license", "can i download", "download sundog", "run it myself", "how do i cite", "how to cite", "cite sundog", "citation", "is the code" ], "disposition": "allow", "evidenceTier": "navigation", "answerTemplate": "Sundog-authored source and associated documentation are published under the MIT License. The repository is https://github.com/humiliati/sundog. Until a paper DOI exists, cite the repository as: Stellar Aqua LLC. (2026). Sundog: Alignment Without Sight [Software and research repository]. GitHub. https://github.com/humiliati/sundog. For legal terms and third-party notices, read the license files directly; Ask Sundog does not interpret license compliance.", "support": [ { "doc": "LICENSE", "section": "MIT License", "status": "primary" }, { "doc": "CITATION.cff", "section": "Citation metadata", "status": "primary" }, { "doc": "README.md", "section": "License and citation", "status": "supporting" } ], "boundaries": [ "State the license accurately; do not paraphrase license terms.", "Do not answer license-compliance questions; refer to LICENSE.", "Do not override third-party notices or licenses.", "Do not imply a peer-reviewed paper or DOI exists before publication." ], "nextAction": { "label": "Open license", "href": "/LICENSE" } }, { "id": "subjective_question_refusal", "questionPatterns": [ "most exciting", "most interesting", "is sundog impressive", "do you think sundog", "will sundog work", "is this exciting", "what s the best", "your favorite" ], "disposition": "refuse", "evidenceTier": "unsupported", "answerTemplate": "Ask Sundog does not take opinions about the project. The widget answers from controlled and bounded claims; opinions, rankings, predictions, and self-evaluation are out of scope. Supported categories include the current controlled result, framework pattern, applications by evidence tier, mesa roadmap, and chat-widget roadmap.", "support": [ { "doc": "docs/presentation/claims-and-scope.md", "section": "Safe Claims", "status": "boundary" } ], "boundaries": [ "Do not opine on project quality, impressiveness, or likelihood of success.", "Do not rank applications.", "Redirect to supported claim categories instead." ], "nextAction": { "label": "Open claims and scope", "href": "/docs/presentation/claims-and-scope.md" } }, { "id": "meta_widget_self_description", "questionPatterns": [ "are you an ai", "are you a chatbot", "are you human", "are you a language model", "how do you work", "how do you know", "what powers this", "what model are you", "how does this widget" ], "disposition": "allow_with_boundary", "evidenceTier": "navigation", "answerTemplate": "Ask Sundog is a deterministic static router with retrieval-based fallback. It reads chat/claim_map.json to find a matching claim class, returns the bounded answer template, and shows the trace: sources, boundary, and evidence tier. When no claim matches, it falls back to local retrieval over indexed chunks for inspection-only answers. It is not an LLM and does not draft new prose. The roadmap target is a Sundog-gated assistant; see docs/SUNDOG_V_CHAT.md.", "support": [ { "doc": "docs/SUNDOG_V_CHAT.md", "section": "Phase 1 - Static Site Helper", "status": "primary" }, { "doc": "chat/claim_map.json", "section": "claims", "status": "supporting" } ], "boundaries": [ "Do not claim the widget is an LLM-alignment result.", "Do not claim the widget drafts answers under model control.", "Surface the trace drawer as the place to inspect how the answer was produced." ], "nextAction": { "label": "Open chat roadmap", "href": "/docs/SUNDOG_V_CHAT.md" } } ], "nonClaimRoutes": [ { "id": "inspect_data", "questionPatterns": [ "where can i inspect the data", "where are the results", "show me the evidence", "audit the project" ], "disposition": "allow", "evidenceTier": "navigation", "answerTemplate": "Start with docs README, docs/SCIENTIFIC_CRITERIA.md, docs/PAPER_v1_draft.md, and results/analysis/analysis_summary.json for the core photometric result. For application surfaces, use docs/APPLICATIONS.md and follow its suggested inspection order.", "support": [ { "doc": "docs/README.md", "section": "Reading Order", "status": "navigation" }, { "doc": "docs/APPLICATIONS.md", "section": "Suggested Inspection Order", "status": "navigation" } ], "nextAction": { "label": "Open docs README", "href": "/docs/README.md" } } ] }