Trust & editorial process

How Terra creates financial content.

Terra is built to make assumptions, math, sources and incentives visible. This page explains who is behind the work, how financial claims are checked, where AI may assist, and what Terra will not pretend to know.

Editorial standard v1.0·Published Aug 28, 2026
Who

An experienced investor's perspective — not a professional credential.

Terra intentionally separates practical investing experience from professional licensing.

Founder perspective

Why the author is not presented as a financial professional

Terra was founded by a self-directed investor with more than 20 years of experience investing in stocks and options and roughly 15 years of experience as a client of a financial advisor. That experience shapes the questions Terra asks — especially around recurring fees, taxes, transparency, long-term compounding and the difficulty of changing course after years of accumulated gains.

The founder is not a financial advisor, CFP, CPA, attorney or registered investment professional. Terra does not use investing experience as a substitute for a credential it does not have. The site publishes under the Terra Investor Tools Editorial Team name so the public focus stays on the reasoning, sources and reproducible math rather than on a personal brand.

Experience helps identify useful questions. Primary sources, disclosed assumptions and reproducible calculations are what support the answers.

How

Six standards used before a substantive page is published.

Not every page needs the same depth, but financial rules and decision guides are held to a higher standard than a simple navigation page.

1 · Answer first

Start with the actual question.

Terra tries to give a plain-English answer before adding terminology. A page should help a reader understand a decision, not simply repeat a dictionary definition.

2 · Separate fact from model

Label what comes from outside sources.

Tax rules, plan limits, investor protections and regulatory definitions are checked against named sources. Terra examples and calculator outputs are labeled as modeled illustrations.

3 · Prefer primary sources

Go to the rule-maker when practical.

IRS, SEC/Investor.gov, Department of Labor, CFPB and other original sources are preferred for current rules and investor education. Secondary sources may add context, but they do not silently replace the primary source.

4 · Show assumptions

Make the math reproducible.

Calculator pages disclose major conventions such as effective-annual return treatment, fee assumptions, contribution timing and important exclusions. Decision articles link to the related calculator when the example can be reproduced.

5 · Explain both sides

Do not force every question into a single winner.

Roth vs. Traditional, advisor fees, debt vs. investing and retirement decisions can depend on assumptions. Terra tries to show what would make the answer change rather than present a universal prescription.

6 · Date meaningful reviews

Financial rules change.

Pages that rely on current limits or regulations carry review cues and source links. Meaningful changes are recorded on What's New; routine formatting changes are not presented as substantive research updates.

Source hierarchy

What Terra considers stronger evidence.

Primary

Government agencies, regulators, statutes/rules, official plan documents, original company filings and original published research.

Independent tools

Regulatory or self-regulatory tools such as Investor.gov and FINRA resources used to cross-check concepts, costs or professional registrations.

Secondary context

Established research organizations, financial publications and educational materials may help explain a topic, but current rules are not based on an unsourced summary when a primary source is available.

Terra models

Illustrations created with Terra's own calculator logic. They are not external evidence and are labeled as scenarios rather than forecasts.

AI assistance

AI can assist the workflow. It is not treated as a financial source.

Where AI may help

Terra may use AI tools to assist with drafting, organization, code, test cases, formatting, comparison tables and identifying questions that deserve a primary-source check.

Where AI does not get the final word

An AI response is not cited as authority for a tax rule, regulatory requirement, contribution limit or investment fact. Current claims are checked against the named source, and substantive site changes are reviewed by the site owner before deployment.

Calculators remain deterministic

Core Terra calculators run on explicit JavaScript formulas. AI does not generate a personalized calculator answer behind the scenes. The same inputs produce the same modeled result under the same version of the engine.

Corrections matter more than appearances

If a source changes, a calculation error is found or a page overstates what the evidence supports, Terra's standard is to correct the substance and update the review trail rather than preserve an old conclusion.

Why

Decision support, not a disguised sales funnel.

Terra's purpose is to help a visitor understand the tradeoff well enough to make a more deliberate decision or ask a better question.

Terra does not rank products for payment.

Advertising or future affiliate compensation does not change calculator formulas, modeled results or editorial conclusions. Paid relationships are disclosed when they exist.

Terra does not know your full situation.

Educational models cannot see your complete tax return, estate plan, benefits, debt terms, risk capacity or family obligations. Pages identify important variables but do not claim individualized advice.

Terra does not promise outcomes.

Long-run return assumptions are scenario inputs. Markets are volatile, taxes change and real cash flows do not arrive with the smoothness of a spreadsheet.

Terra does not hide the business model.

The separate How Terra Makes Money page explains the revenue guardrails so readers can evaluate incentives as well as content.

Inspect the other trust layers.

Read the methodology behind the models, the founder perspective, and the revenue policy.