Evidence before assertion
Important conclusions should remain connected to the information supporting them.
IN PRACTICE — Visible source identity, source route/viewer, evidence relationship, and provenance state.
Start with a question. Discover and inspect the underlying sources. Preserve the dates, jurisdictions, versions, rights and relationships that affect meaning. Build a research view. Keep it connected to the evidence. Reassess when material information changes.
AI can assist discovery, organization, comparison, summarization, explanation and change identification. It does not become the evidence. Research judgment remains human.
Research and market intelligence. No legal advice. No trade execution. No manufactured buy/sell/hold recommendations.

Connect the question to the evidence, the evidence to its context, the context to a research view, and the research view to whatever changes the evidence next.
Important conclusions should remain connected to the information supporting them.
IN PRACTICE — Visible source identity, source route/viewer, evidence relationship, and provenance state.
A convenient explanation must not erase the underlying source.
IN PRACTICE — Source access precedes or accompanies interpretation; source label never hidden behind AI text.
Dates, jurisdictions, versions, periods, rights, and relationships can materially change meaning.
IN PRACTICE — Publication time, effective/reference period, jurisdiction, version/supersession, and rights state where material.

AI may accelerate research without becoming the authoritative evidence source.
IN PRACTICE — Persistent provenance treatment and separate labels for generated/model-assisted output.
Talvrin should describe what is actually supported, not theoretical capability as live coverage.
IN PRACTICE — Coverage registry/status pattern and explicit limitations.
Talvrin can improve the information environment; users remain responsible for decisions.
IN PRACTICE — No prescriptive investment recommendation language or "decision certainty" claims.
The seven-step process a research object moves through, from a framed question to a monitored, revisit-able view.
Frame a market, issuer, security, event, policy issue, or research question.
Preserve the question as the research object context rather than reducing it to a keyword query.
Find relevant evidence and context.
Return governed source candidates with source identity and scope, not only synthesized answers.
Review the underlying sources.
Open source or governed viewer; show publication timing, version, jurisdiction, and rights state where relevant.
See how evidence relates to the question.
Expose supporting, contradicting, updating, or contextual relationships without a hidden black-box score.
Develop and preserve a research view.
Keep evidence, interpretation, assumptions, and user notes distinguishable and revisit-able.
Continue watching relevant evidence and assumptions.
Surface meaningful evidence changes separately from market-price alerts or generic notification noise.
Return when new evidence changes the basis of the view.
Show what changed, when, where, and which prior assumption/evidence relationship may need review.
Provenance and context fields are preserved on every record — never inferred, never invented.
Name the organization, publisher, issuer, regulator, central bank, exchange, or other governed source; never use only "web source."
Primary / official / licensed / institutional / other governed classification only where supported by the source registry.
Preserve human-readable source title or document/event name.
Display with timezone where material.
Separate from publication time when the fact applies to a different period.
Expose when legally, economically, or market-structurally relevant.
Identify revision, replacement, withdrawal, or supersession where supported.
Respect licensing, entitlement, redistribution, and permitted-use rules.
Explain whether the evidence supports, contradicts, updates, or contextualizes the research object.
Deep link or governed viewer route when permitted; do not fabricate endpoints.
The methodology does not manufacture a numerical confidence score, source-quality score, reliability percentage or fixed weighting model. A future governed scoring model would require its own approved methodology contract before exposure.
Every layer carries its own ownership and its own required label — never styled as if it were the source itself.
External or governed source; authority depends on source/context.
Talvrin structured representation of source material.
Talvrin-authored or product-generated interpretation.
Model-assisted content under Talvrin policy controls.

Conflicting evidence stays visible as a research condition rather than being collapsed into one answer.

Evidence-change monitoring is distinct from price alerts or generic notification noise.
Show source identity, publication time, relationship to the research object, and whether materiality review is complete.
Preserve prior version or supersession relationship where available; do not overwrite history invisibly.
Do not create noisy alerts solely to demonstrate activity.
Expose availability/rights state; do not silently remove the evidence trail.
Use a pending/review state where a change exists but its significance is not yet established.
Connect the changed evidence to assumptions or parts of the research view that may need review.
Materiality is a governed product concept. The methodology explains its states; it does not invent a formula or imply that every source update is material.
Search and evidence discovery
An authoritative source
Document/source summarization
A guaranteed fact
Comparison across evidence
Investment advice or a buy/sell/hold recommendation

Research organization
A guarantee of completeness or accuracy
Relationship/contradiction surfacing
An invisible layer whose provenance the user cannot inspect
Explanation in accessible language
A mechanism for erasing uncertainty, jurisdiction, version, or rights context
Live coverage is described as released, not inferred from what the platform is architecturally capable of.
High-confidence production-supported research depth for a named market/domain, where approved.
May be described only when registry-approved.
Production-supported but narrower than deep coverage.
Show with scope/limitations.
Available with explicit limitations.
Limitation label is mandatory.
Roadmap only.
Do not present as current coverage; expose only if roadmap publication is approved.
Platform architecture could support the category.
Generally internal; does not create a customer-facing coverage claim.
Dated, reviewable, versioned, and explicit about material changes — never a cosmetic freshness timestamp.

Human-readable version identifier tied to an approved publication record.
Date the current version became public.
Show only when an actual review occurred; no cosmetic freshness timestamp.
Explain material methodological changes in plain language.
Named internal function/role, not necessarily a public individual, responsible for the methodology.
Research/editorial, product, legal/compliance, data rights, AI governance, accessibility/SEO as applicable.
Provide access or a summary trail where publication governance permits.
Flag unresolved methodology/product contracts rather than hiding them.
The source documents do not define an exact review cadence. Monthly, quarterly, annual or event-driven review is never claimed as current fact unless separately approved.
Illustrative walkthrough. It does not imply current live coverage unless the relevant source/coverage registry approves it, and carries no investment recommendation.
"What evidence has changed around a public-market policy or macro question?"
Surface governed source candidates and clearly identify source identity and timing.
Open source or governed viewer; show original title, publication time, reference period, jurisdiction, version, and rights state where material.
Explain how each source supports, contradicts, updates, or contextualizes the question.
Preserve the researcher’s view and assumptions separately from source evidence and AI-assisted interpretation.
Show new/updated/unchanged/source-unavailable/materiality-pending states without generic alert noise.
Highlight which assumptions or evidence relationships deserve review when material new evidence arrives.
An evidence-first research method that keeps questions, source evidence, context, interpretation, research views and ongoing monitoring connected so users can reassess a view when material evidence changes.
No. The methodology does not manufacture a numerical confidence score, source-quality score, reliability percentage or fixed weighting model. Evidence remains inspectable and its context, provenance and relationships remain visible.
AI may assist with evidence discovery, summarization, comparison, organization and accessible explanation. AI-assisted output remains distinct from source evidence, with evidence links and provenance kept visible.
Conflicting evidence remains visible as a research condition. Sources can be represented as supporting, contradicting, updating or contextualizing the research question rather than being silently collapsed into one answer.
Publication time describes when a source became public. The effective or reference period describes when the underlying fact, policy, event or measurement applies. They can be materially different and should not be conflated.
Updates and supersession relationships remain part of the evidence trail where supported. Prior versions are not silently overwritten when publication governance permits a version or summary history.
Monitoring keeps the research view connected to meaningful evidence changes. New, updated, unchanged, source-unavailable and materiality-pending states can be surfaced without turning every source change into generic alert noise.
The methodology does not turn research evidence into investment advice or buy/sell/hold recommendations. Comparisons and evidence relationships remain distinct from an investment recommendation.
Coverage is described according to released and registry-approved scope. Architecture-ready capability is not treated as current live coverage, and geographic or market coverage should be stated only where approved.
Where permitted by source rights and access rules, users can open the underlying source or a governed viewer and inspect provenance, publication timing, version, jurisdiction and other relevant evidence context.

Only through approved routes — never a generic "recommended for you" ranking.
Return to the Research hub for source-linked public-market intelligence.
How evidence is sourced, classified and presented, in full.
AI boundaries, provenance and human-verification expectations.
Canonical released-coverage matrix and market status.
See the methodology applied to policy and regulatory evidence.
Explore how Talvrin can help you discover evidence, inspect sources, build a defensible research view, and monitor what changes next.
Research and market intelligence. No legal advice. No trade execution. No manufactured buy/sell/hold recommendations.