Name: Citation-First Deep Research Desk
Brand: Tetrees AI
Availability: InStock

Citation-First Deep Research Desk preview 2

Citation-First Deep Research Desk preview 3

Tetrees Agent guide

What this agent does

Fast web research often becomes a polished summary of the first few results, with duplicated sources, weak provenance, untested contradictions, and no clear indication of what the search failed to cover.

Designed for

Founders and product strategists
Competitive-intelligence teams
Writers preparing sourced briefs
Analysts investigating unfamiliar markets

Inputs it works with

Research question and intended decision
Scope, geography, date range, and exclusions
Optional seed URLs, notes, or documents
Desired report depth and evidence threshold

Outputs you receive

Research plan and coverage map
Claim-to-source evidence table
Contradiction and uncertainty register
Citation-ready executive dossier
Follow-up query backlog

How the workflow runs

1Clarify the decision, scope, freshness requirement, and evidence standard before searching.
2Decompose the question into non-overlapping research questions and define stopping criteria.
3Search across independent source classes and deduplicate claims that trace to the same origin.
4Extract claim-level evidence with source date, authority, relevance, and caveats.
5Actively search for disconfirming evidence and reconcile or preserve contradictions.
6Publish a structured dossier with inline source links, coverage gaps, confidence, and next research actions.

Example usage

Start with one of these requests, then replace the details with your own.

Map a new market before committing budget

A founder needs a decision-grade view of a fast-changing market rather than a generic landscape article.

Example request

Research the 2026 market for AI incident-response platforms in South Korea and Japan. Compare demand signals, buyer constraints, vendors, regulation, and credible counterevidence. Cite every time-sensitive claim.

Expected outcome: A scoped research plan, diversified sources, dated claim ledger, contradiction analysis, market map, uncertainty rating, and decision-oriented conclusion.

Verify a viral business claim

A team sees a widely repeated statistic and needs to know whether independent primary evidence supports it.

Example request

Trace the claim that agentic commerce doubled in 2025 to its earliest source. Distinguish original data, later repetition, methodological criticism, and what remains unknown.

Expected outcome: A provenance chain, duplicate-source collapse, source-quality assessment, competing interpretations, and a bounded verdict.

A successful run should

✓ Search questions cover the decision without material overlap
✓ Every time-sensitive claim links to a source
✓ Syndicated copies are not counted as independent confirmation
✓ Contradictions remain visible
✓ The report states coverage gaps and stopping rationale

Boundaries and limitations

• Web access can miss paywalled, private, or unindexed evidence
• Citation presence does not guarantee source correctness
• The user must validate high-stakes legal, medical, and financial conclusions
• Search results can change after the report date

Capabilities

deep researchsource triagefact checkingcitation mappingreport synthesis

Choose OpenAI, Claude or Z.AI in Agent Studio, then run with Tetrees Points or BYOK.

Execution tools

Hosted runs use only this signed set. Local MCP may add tools that you separately configure and approve.

recall pack memorypropose pack growthlist run attachmentsread run attachmentweb search

Agent AVCP

Agent AVCP report

Tested v1.0.1

The tested TAIP artifact is bound to this report and platform signature. Scores describe tested evidence, not a guarantee of every future model response.

Overall score

9.5

out of 10

Security9.5

Function10.0

Completion10.0

Mandatory gates

provenance✓ Pass

costCeilings✓ Pass

growthRollback✓ Pass

skillExecution✓ Pass

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Citation-First Deep Research Desk