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ELI RESEARCH · METHODOLOGY

Eli Research methodology and data principles

If we did not measure it, we do not publish it as a finding.

Question → method → capture → QA → release → correction
Research in progress

Research governance is active. Findings require captured observations and reproducible rules before publication.

RELEASE STANDARD

Methodology is publishable before findings are.

Eli can publish the question universe, schema, definitions and quality controls before a benchmark release. It will only publish an aggregate when the underlying observations are complete, reviewable and described with their coverage and limitations. Until then, this page makes no performance, ranking or customer-outcome claim.

Observations and definitions

Save evidence first, classify second, aggregate third and interpret last. Define recommendation, mention, citation, source type, action readiness and evidence tier without mid-report changes.

Version and uncertainty

Version prompt universe, methodology, dataset, report and scoring. State sample, missingness, ambiguous cases, model changes and limitations.

No fabricated benchmarks

Never present illustrative percentages, fake customer outcomes, invented rankings or synthetic rows as findings. Mark synthetic examples Illustrative example.

Corrections and sensitive data

Document errors, release corrected version and preserve history. Customer/private data needs permission, minimization and appropriate aggregation; security findings require responsible handling.

FAQ

Questions about the research design and release boundary.

AI research?

AI can assist, but findings require captured data/method.

Raw data always public?

Where appropriate.

Errors?

Versioned corrections.

Customers influence?

Methods prevent silent custom prompt changes.

Why limits?

Benchmarks need boundaries.

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Eli Research uses versioned methods, explicit sample definitions, inspectable raw evidence, transparent formulas, uncertainty, corrections and a strict separation between measured findings and hypotheses.

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About Eli · facts checked 20 October 2026

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Eli is an AI growth team for B2B companies: four autonomous AI agents for AI search, your website, conversions and Meta ads. They work every day; you approve what matters. You do not do the marketing work yourself: Eli's agents do it every day, also when you are not logged in, and ask you only when a decision is yours.

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You use Eli from ChatGPT or Claude, through Eli's MCP connector, or in your Eli account at hireeli.io, and Eli sends you one short report a week. There is no new dashboard to learn.

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