Source-based editorial writing assistance workspace

Reduce editing cycles while keeping the writer's voice and source accuracy. For writers, editors and content teams producing source-based articles and reports, convert licensed source material, draft text, style rules and editorial constraints into editor-approved publication-ready drafts linked to their sources. The benefit is a testable hypothesis, measured through accepted drafts per editorial hour and corrections after approval; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect licensed source material, draft text, style rules and editorial constraints, then follow this sequence: 1. Suggest real-time writing options as the writer types. 2. Read and edit the draft against a stated task. 3. Adapt suggestions to the writer's style and current context. Resolve uncertain cases with qualified reviewers, approve editor-approved publication-ready drafts linked to their sources, and measure accepted drafts per editorial hour and corrections after approval against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed style guide and licensed source set; final fact-checking and publication decisions remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One fixed style guide and licensed source set; final fact-checking and publication decisions remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed style guide and licensed source set; final fact-checking and publication decisions remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: suggest real-time writing options as the writer types; read and edit the draft against a stated task. Support the third module with operator review: adapt suggestions to the writer's style and current context. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Author-owned manuscripts, authorized interviews and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Source intake and brief, Editable writing canvas, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, style rules and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant passage. Make the task-specific outcome editor-approved publication-ready drafts linked to their sources visible beside its evidence, review state and value baseline.