What changed

Evidence integrity fix: reverted false editorial-hands-on upgrade; evidence stays synthesized and qualityGate downgraded flagship → solid per docs/EDITORIAL-SOP.md §2 evidence ladder. No desk hands-on trial on file; benchmarkReady remains false.

Added LongCat-2.0/Owl Alpha release context: Meituan identified the OpenRouter stealth route as LongCat-backed after it had already become a high-volume coding model. Treat it as evidence of routing-market adoption, not as a privacy shortcut or independently verified benchmark row.

Production-readiness audit pass: editorsNote and pricing/privacy checked dates confirmed. benchmarkReady remains false intentionally until agent-diff safety, usage-burn, and Privacy Mode runs land.

Production-readiness audit pass: editorsNote and pricing/privacy checked dates confirmed. benchmarkReady remains false intentionally until Spec Mode, Droid Exec autonomy, and enterprise-control runs land.

Production-readiness audit pass: editorsNote and pricing/privacy checked dates confirmed. No editorial claims changed; bench rows remain explicitly pending until the desk protocol runs (Next action in qualityGate.notes).

Production-readiness audit pass: editorsNote, pricing/privacy checked dates confirmed; Sonar/Search API token + per-request fee rows aligned with docs.perplexity.ai. benchmarkReady remains false intentionally until desk citation audit and Sonar latency runs land.

Shipped Command Code flagship card — terminal agent with taste learning, open-model deals, and full pricing/privacy research from commandcode.ai.

Shipped OpenCode flagship card — OSS agent, Go/Zen pricing, Plan/Build modes, and Zen privacy exceptions documented.

Shipped Raycast as a flagship Knowledge work card — the macOS launcher we would install on every research Mac before debating another AI tab.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Refreshed pricing evidence from scira.ai/about and api.scira.ai/pricing, added machine-readable pricing tiers, and marked benchmark evidence ready for the public dossier while keeping individual desk benchmark rows explicit about what still needs live runs.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

ChatGPT is the baseline general assistant card, but it now needs to be framed as a family of surfaces: consumer ChatGPT, Business/Enterprise workspaces, Codex/agent features, and the separate OpenAI API. Its strength is breadth — drafting, file work, multimodal analysis, coding, agents, and extensions — while its risk is that fluent output can make weak sourcing, privacy assumptions, or plan limits invisible.

Claude is the careful-drafting and long-context card. The updated evidence reinforces its core lane: nuanced rewriting, document analysis, Projects, Artifacts, Research, Claude Code, Cowork, web search, and organization search/connectors. The editorial risk is quota and surface confusion: consumer Pro/Max, Team, Enterprise, and API/tool pricing are meaningfully different products.

Connected Papers remains the clean visual literature-map card. It is especially useful for orienting around one seed paper, but its core limitation is still methodological: a graph is not a reproducible search strategy. This pass adds official plan/feature detail, group/library plans, payment processing, scholarship support, and free-quota boundaries.

Consensus remains the claim-shaped academic Q&A card. It is strongest when the user has a research question and needs cited orientation quickly. This pass adds current corpus/user-scale claims, Research Agent, account/privacy controls, institutional full-text linking, and a sharper “answer box is not a literature review” warning.

Crossref is scholarly infrastructure, not a shiny discovery app. It remains the DOI metadata verification card: use it for DOI records, member/publisher metadata, references, funder/license fields, relation metadata, and citation plumbing. This pass adds the 2025/2026 REST API rate-limit shift and the practical “polite pool” guidance that makes Crossref usable in responsible pipelines.

Cursor remains the AI-native code editor flagship, but the card now needs to emphasize three separations: editor workflow versus headless agents, individual usage pools versus team/enterprise governance, and Privacy Mode versus ordinary provider transit. Cursor is excellent for repo-local Tab, Chat, Agent, MCP, cloud agents, and Bugbot workflows, but only if diffs are reviewed and tests run.

DeepSeek is the low-cost reasoning/API card. This pass sharpens the key facts: DeepSeek’s API is OpenAI- and Anthropic-compatible, current V4-Flash/V4-Pro pricing is extremely low, context length is listed at 1M, and legacy deepseek-chat / deepseek-reasoner names are being deprecated. The low price is real, but the editorial warning is bigger than usual: privacy, residency, institutional policy, and geopolitical availability need explicit review.

ElevenLabs is the voice and audio AI card. This pass uses primary ElevenLabs pricing and privacy pages plus compliance/search results. The product’s quality can make outputs feel finished, but the editorial review must center voice consent, identity risk, disclosure, credit burn, and whether uploaded voices/interviews belong in a cloud voice system.

Elicit is no longer just a paper-search assistant; it is positioning itself as an evidence-synthesis system for reports, systematic reviews, dynamic screening, extraction, and sentence-level citations over a very large scientific corpus. The richer data supports a higher-confidence card, but the recommendation still depends on benchmarked extraction accuracy against a hand-coded table.

Exa is one of the cleanest “search as infrastructure” cards in the VerdictPal stack. The current pricing and docs make the value clearer: real-time search, webpage text/highlights, configurable latency, contents retrieval, Answer endpoint, Deep Search, Monitors, and Agent runs. The core risk is economic and privacy-boundary creep when agents fan out across many searches, contents calls, summaries, and enrichment steps.

Factory is the agent-native software-delivery card. It is strongest when the task is bigger than autocomplete: repo understanding, spec-planned refactors, terminal/IDE delegation, background agents, SDK use, and CI-style Droid Exec workflows. This pass adds current 2026 Factory/Droid source detail and sharpens the enterprise/security boundary.

Firecrawl is the web-extraction infrastructure card. It should be described as context extraction for agents and research pipelines, not as a generic search engine. This pass adds current credit economics, enterprise ZDR/SOC2 claims, endpoint credit costs, and the important warning that hosted scraping is always a trust, permission, and site-terms problem.

Gamma is the AI presentation and visual-document first-draft card. This pass uses official Gamma pricing/product/privacy/search snippets, but the pricing and privacy pages timed out on full load, so the dossier clearly marks what is verified from retrieved official snippets and what needs final live-page verification before publication.

Deepened from official Google pages: pricing across consumer (AI Plus/Pro/Ultra), Workspace add-on, Gemini API paid tier, and Vertex AI; privacy language for consumer vs API vs Workspace/Vertex; capability list refreshed to current Gemini app + API surface.

Google Scholar remains the academic-search baseline: broad, familiar, fast, and useful for finding known items, PDFs, library links, citation trails, alerts, and case law. Its weakness is methodological opacity. It should be recommended as a discovery and citation-chasing habit, not as a reproducible search strategy by itself.

Grammarly is the revision-pass card, not the argument-writing card. This pass updates the card for Grammarly Pro and Superhuman-suite positioning: Free gives core correction plus 100 AI prompts, Pro adds rewrites/tone/brand features and 2,000 AI prompts, team features run up to 149 seats, and larger organizations move to Superhuman Go/enterprise-style controls. The core warning remains voice flattening and cloud text processing.

Gumloop is the no-code AI workflow and agent-automation card. This pass is based on primary Gumloop pricing and privacy pages, plus official product/search results. The review should focus on whether credit-based agent workflows stay understandable after real data, credentials, retries, and handoffs enter the loop.

Kagi is the paid-search card: a user-funded, ad-free search engine with serious privacy engineering and enough Assistant functionality to be useful without turning into an AI slop layer. The strongest angle is incentive alignment — no ads, no result-click tracking, no analytics/telemetry on the main site, and paid plans that make the business model legible. The recommendation still depends on a 25-query search-quality benchmark against Google, Brave, DuckDuckGo, Perplexity, and You.com.

Litmaps is the citation-map plus monitoring card. It is valuable when a user starts from seed papers and needs to discover connected work, visualize the field, sync references, and keep watch for new papers. This pass fixes the malformed sources area and adds current Litmaps feature, coverage, and DPA details.

Mendeley is the Elsevier-backed cloud-sync reference manager with increasingly AI-shaped library features. The richer data clarifies the buyer’s question: Mendeley is capable for PDF import, annotation, Word citation, groups, and AI over a library, but the deciding tradeoff is Elsevier cloud trust, storage/AI plan economics, and future switching cost versus Zotero and Paperpile.

Microsoft Copilot is a family-name card, not a single-product card. This pass uses Microsoft Learn pages for Microsoft 365 Copilot and Copilot Chat data protection plus Microsoft pricing search results. The key editorial job is to separate consumer Copilot, Microsoft 365 Copilot Chat, paid Microsoft 365 Copilot, and Azure/OpenAI developer paths.

Mistral Le Chat is the EU-headquartered assistant comparison card. This pass strengthens the privacy and API boundary: Le Chat inputs/outputs are retained until account/conversation deletion, API inputs/outputs are generally kept for 30 rolling days for abuse monitoring unless zero data retention is activated, and Agents/Fine-tuning have separate retention rules. That makes Mistral useful to compare against US-default assistants, but not automatically compliant.

n8n is the research-ops automation card. It is strongest when a team needs visible workflow glue across APIs, webhooks, databases, AI steps, Notion, and alerts. The updated evidence makes the trade-off clearer: every plan now leans into unlimited users/workflows/steps, but pricing is based on full workflow executions, and self-hosted still means the operator owns patching, backups, secrets, telemetry choices, and failure recovery.

NotebookLM remains the source-grounded workspace flagship. The strongest VerdictPal framing is not “AI search,” but “corpus-first reading workspace”: upload or discover sources, ask grounded questions, generate study artifacts, and verify claims against citations. This pass adds current Enterprise, Workspace, and Google AI plan distinctions so the privacy story is clearer.

Obsidian is the local-first knowledge-base card. The important update is that Obsidian is now free for work as well as personal use, while paid services remain optional add-ons for Sync and Publish. That strengthens the card’s editorial angle: Obsidian is not a cloud workspace trying to lock your notes away; it is a Markdown vault where the user owns the files, but also owns the backup, plugin, and structure decisions.

OpenAlex is the open scholarly graph card. It sits between Crossref and Semantic Scholar: broader discovery and mapping than DOI registry metadata, more reproducible and open than closed search products, but still an aggregated graph that requires verification for final citations. This pass adds the 2026 usage-based pricing and privacy promise details.

OpenRouter is the model-router card. It is useful when a developer wants one OpenAI-compatible API surface for many LLMs, fallback routing, model comparisons, BYOK, and spend controls. The updated card sharpens the key caveat: routing convenience adds a platform fee and a subprocessor/provider-retention surface that must be controlled before confidential research or user data flows through it.

Overleaf is the collaborative LaTeX card. This pass updates the card with current plan evidence, including AI allowance language, collaborator limits, 24x compile timeout on paid tiers, real-time track changes, and the subscriber-owned project entitlement model. The core trade remains: Overleaf removes local TeX and collaboration friction, but your project source and compile workflow live in a cloud editor.

Paperpile is the convenience-first reference manager for Google Docs and browser-native writing. The stronger data now makes the tradeoff clearer: it has excellent Google Docs and PDF workflow coverage, annual pricing only, unlimited PDF storage on paid plans, and a cloud/Google-account privacy boundary that should be explicit for thesis and institutional work.

Perplexity remains the cited-answer benchmark for consumer AI search, but the card now needs to treat Perplexity as two related products: the consumer answer engine and the API platform. The consumer product is useful for fast source maps and Deep Research drafts; the API platform is a separate developer surface with Sonar, Search, Agent, and Embeddings APIs. The hard editorial rule stays the same: citations are leads, not bibliography-ready evidence.

PostHog is the product-analytics and experimentation-stack card. It belongs in VerdictPal because product analytics, session replay, feature flags, experiments, surveys, pipelines, and AI/product ops determine how the product learns after launch. The recommendation stays gated because PostHog’s biggest risks are exactly the ones product teams underestimate: event volume, replay privacy, retention, and usage-based cost.

Rayyan is a focused systematic-review screening workspace with stronger plan mechanics and AI boundaries than the earlier card captured. The product’s editorial value is title/abstract screening, deduplication, PICO extraction, PRISMA support, reviewer/viewer collaboration, mobile work, and institutional ResearchPilot. The gold-standard warning is unchanged: AI can assist review logistics, but the final inclusion/exclusion decision must remain human and auditable.

Replit is the browser-based AI build-and-deploy card. It is useful when a user wants one place for ideation, agent building, database, hosting, collaboration, and publishing. The review must focus on code quality, credit burn, deployment security, and whether the user understands what the agent built.

Research Rabbit is the visual exploration and “follow the trail” card. It belongs beside Connected Papers and Litmaps, but its emphasis is adaptive exploration, collections, and seeing how papers/authors/concepts connect. This pass adds current feature language, data-source hints, and a clearer privacy/method boundary.

Scholarcy is the paper-skimming and structured-summary card. It can save time for triage, accessibility, and organization, but it must be reviewed as a reading aid, not a reading replacement. This pass adds current product/pricing/help details, browser-extension behavior, export/library capabilities, and a sharper copyright/privacy boundary for uploaded PDFs.

Scira remains the VerdictPal flagship template because it combines a cited search UI, open-source AGPL codebase, hosted Free/Pro/Max plans, an API platform, MCP surface, and a deep dossier structure. This pass replaces stale/malformed page content with a cleaner benchmarkable dossier while preserving the core stance: strong public recommendation, but benchmark-ready still false until the pending desk rows are actually run.

Scite is the citation-context card. It is valuable because it asks a better question than raw citation count: did later papers support, contrast, or merely mention the claim? This pass strengthens the card with Scite’s current Smart Citations, MCP, API, publisher/full-text coverage, privacy-policy, and reference-check caveats. The public recommendation remains gated until label accuracy is benchmarked against actual citing passages.

Semantic Scholar remains a flagship academic-search layer because it combines a free scholarly search UI with TLDRs, author pages, alerts, a developer API, and downloadable scholarly graph data. It is more structured than Google Scholar and more paper-discovery oriented than Crossref. The warning is unchanged: AI summaries and graph edges are discovery aids, not evidence.

Warp is the agentic terminal/workspace card. It is compelling because it puts local and cloud coding agents where developers already run commands, but the evaluation must center command safety, repo hygiene, and data controls.

You.com should now be reviewed primarily as a web-search API platform for AI builders, not as a nostalgic consumer search/chat competitor. Its current public pitch centers on Web Search APIs, Research API, zero-data-retention options, SOC2, DPA readiness, high rate limits, and enterprise deployment. The card’s benchmark needs to test API source quality, freshness, cost, and data-control clarity against Exa, Perplexity Sonar/Search, Brave, Tavily-style APIs, and Kagi.

Zotero remains the strongest local-first default for student and academic reference management. The new data points reinforce the core positioning: the desktop workflow works without an account, sync is optional and disabled by default, paid storage funds a nonprofit project, and the main editorial risk is not capability but governance around sync, attachments, plugins, and group ownership.

Imported from the Notion Card pipeline with Scira-gate status corrected to solid.

Imported Notion state-of-art research and lowered the editorial fit to reflect weak desk usefulness plus Teams-gated Linear integration.

Imported from the Notion Card pipeline with Scira-gate status corrected to solid.

Imported from the Notion Card pipeline with Scira-gate status corrected to solid.

Imported from the Notion Card pipeline with Scira-gate status corrected to solid.

Imported Notion state-of-art fields and corrected Scira-gate status to solid.

Imported from the Notion Card pipeline with Scira-gate status corrected to solid.

Imported from the Notion Card pipeline with Scira-gate status corrected to solid.