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Editorial & AI Policy

Effective date

March 15, 2026

Last updated

March 15, 2026

TikGo publishes product, policy, and help content to explain how the service works across TikTok, Douyin, Facebook, Instagram, and X. This page explains how that content is created, how it is reviewed, and how AI may be used as a support tool in the process. The public trust surface is maintained under a role-based model rather than named personal bylines in the current phase.

1) Scope

This policy applies to TikGo-authored content such as:

  • downloader landing pages
  • help and troubleshooting copy
  • trust and policy pages
  • changelog entries
  • blog and editorial guidance
  • user-facing error, notice, and instruction copy

It does not apply to third-party platform content that TikGo does not control.

2) Editorial ownership and review

TikGo currently uses role-based editorial accountability:

  • TikGo Team maintains the public downloader and trust surface.
  • TikGo Editorial Team drafts, edits, restructures, and maintains published copy.
  • TikGo Technical Review checks supported link types, workflow accuracy, and product limitations before sensitive updates are finalized.

This role-based model is intended to keep content accountable even before named public bylines are rolled out sitewide.

3) Core standards for published content

TikGo content should be:

  • useful: built around real user tasks and common failure cases
  • accurate: aligned with current product behavior and supported surfaces
  • transparent: honest about limitations, unsupported cases, and operational constraints
  • specific: clear about what works, what does not, and what users should do next
  • maintained: updated when product behavior, support flows, or policy wording changes

TikGo should not publish content that is intentionally misleading, stale, or padded only to target keywords.

4) How AI may be used

AI may assist with work such as:

  • drafting first-pass structure for documentation or FAQ blocks
  • copy editing for clarity, grammar, or translation cleanup
  • summarizing internal notes before human review
  • helping compare page consistency across related content

AI is used as an assistant, not as the final authority.

5) What AI is not used for

TikGo does not intend AI to:

  • fabricate benchmarks, user quotes, or legal claims
  • mass-produce thin pages with little unique value
  • replace human review on support, policy, or high-trust content
  • invent platform capabilities that the product does not actually support

If a claim cannot be supported, it should be removed, softened, or rewritten.

6) Evidence and source hierarchy

When updating content, TikGo prioritizes:

  1. current product behavior visible in the active service or codebase
  2. first-party proof such as testing notes, support reports, screenshots, recordings, and operational observations
  3. related TikGo trust pages such as /how-it-works, /privacy-policy, /terms, and /dmca
  4. official platform or browser documentation when outside confirmation is needed

TikGo should avoid copying assumptions forward when the product surface changes. For example, policy pages should not stay TikTok-only if the public service clearly supports more platforms.

7) Publishing workflow

The intended editorial workflow is:

  1. identify a user need, product change, or trust gap
  2. draft or rewrite the relevant content
  3. verify platform coverage, limitations, and cross-links
  4. review wording for clarity, proof, and overclaim risk
  5. publish the update and record important user-facing changes in /changelog when appropriate

Urgent corrections may move faster, but they should still be reviewed by a human before publication.

8) Corrections and freshness

TikGo welcomes corrections when content becomes outdated, unclear, or incomplete. We may revise pages when:

  • a supported platform flow changes
  • a policy page no longer matches the public product surface
  • repeated support tickets reveal a missing explanation
  • a legal or privacy clarification is needed

For important user-facing updates, we may add or revise a changelog note so the update history remains easier to follow.

9) Privacy when using AI or editorial tools

TikGo does not intend to send downloaded user media to third-party AI systems for content analysis as part of normal editorial work.

Where technical notes are reviewed, the goal is to work from minimal, relevant information such as:

  • anonymized error context
  • workflow failures
  • device or browser behavior
  • support summaries that help clarify documentation

For broader privacy commitments, see /privacy-policy.

10) Ads, sponsorships, and conflicts

If TikGo shows ads, partner placements, or monetized surfaces, editorial and support content should remain clearly distinguishable from sponsored material. User-helpful instructions should not be hidden behind promotional wording or disguised endorsements.

11) Feedback and contact

If you find a factual error, outdated platform guidance, or unclear wording, please contact us: