AI produces a structured working draft from your approved content brief so you refine, fact-check, and publish in your voice instead of writing from a blank doc.
A complete operational system. Built to run immediately.
Generate your first AI blog draft from a real content brief, run the voice pass, and confirm it is ready in under 45 minutes.
Why AI blog drafts default to generic prose and what a correctly running post production pipeline looks like.
Roles, responsibilities, and the three inputs required: content calendar, AI access, and an approved content brief.
Three phases: build your style guide and brief inputs, build the AI writing and refinement prompts, run the production cycle.
Post publish rate, draft-to-publish time, and editor revision rate targets. Definition of done included.
AI prompt library for every production stage, a post quality checklist, and a style guide design guide for brand voice.
How to fix drafts requiring rewriting, editor revision patterns pointing to upstream gaps, and uncaught voice issues.
Version history and a production improvement log so every calibration cycle has a documented record of what changed.
Takes your approved content brief and brand style guide and builds a complete working draft with every H2 section populated.
Rewrites every paragraph violating the brand voice and returns a revised draft with a change log showing what was modified and which rule applied.
Reads the draft and returns a numbered list of every verifiable claim, named statistic, attributed quote, and specific data point for source confirmation.
Runs a pass/fail checklist on the final draft: keyword placement, semantic keyword coverage, internal links, and CTA placement.
Produces three headline alternatives incorporating the primary keyword, plus an intro rewrite that hooks the reader within the first two sentences.
Compares post intent and production steps against ranking and engagement data, traces the root cause to a specific step, and returns one actionable fix.
A complete working draft from your approved brief and brand style guide. All H2 sections populated, content angle followed throughout.
Draft after voice refinement and fact-check. Every paragraph aligned to the style guide, every verifiable claim flagged.
A pass/fail SEO checklist for the final draft plus three headline alternatives and an intro rewrite, ready for the editor.
Six copy-paste prompts: draft generation, voice refinement, fact flagging, SEO check, headline testing, and post-publish calibration.
A configured workflow that routes approved briefs to the draft generation step without a manual trigger.
A living document updated after each calibration cycle with ranked performance data and one approved improvement per cycle.
AI generates content fast. The problem is what arrives: generic prose that sounds like every other AI-assisted blog, unverified claims that look fine until a reader checks them, and a structure that drifted from the approved brief somewhere between the prompt and the output.
Generic structure, no brand voice, and unverified claims mark every AI-drafted post. The writer cleans these up before any real editing can start.
Review and fact-checking were never the editor's job. When drafts skip the refinement layer, the editor carries work that belongs upstream.
A single headline chosen before the post is written is a guess. A tested set chosen after the draft exists closes faster.
A post that diverges from the brief was produced inside a process with no final alignment check. The published version answers a different question.
Expected Outcomes
These targets come directly from the SOP. Realistic benchmarks, not aspirational claims.
90%+
Tracks whether AI drafts are complete and refined enough to carry a post through the full production cycle. A rate below 90% usually points to style guide gaps or an incomplete brief handoff.
<72 hrs
Measures full cycle speed from draft generation through voice refinement, fact-check, SEO check, and editor review. Consistent overruns point to a bottleneck in the fact-check or editor review step.
<20%
Measures whether the voice refiner and fact-check pass are working. A rate above 20% for two consecutive months means the style guide lacks specificity or the draft generator is not receiving a complete brief.
System live. First 3 posts drafted, voice-refined, fact-checked, and published through the full production workflow.
First optimization shipped. One style guide or prompt improvement based on editor revision data, tested over the next 10 posts.
Stable production workflow with publish rate tracked. Monthly calibration review producing consistent improvements to the style guide and prompts.
Common Questions
QuickStart gets your first AI-accelerated draft published in about 60 minutes. Full production workflow with voice alignment and fact checking stabilizes across the first 3 posts.
About 30 minutes of active work per post: 5-10 minutes for draft generation, 1-2 minutes for the voice refiner, 3-5 minutes for fact-check, and 5-8 minutes for the SEO execution check.
The style guide needs more specificity. The most common gap is a vocabulary section describing tone in adjectives without showing the AI what on-brand prose looks like. Add 3-5 example sentences in the brand voice and re-test.
Not on its own. This SOP replaces the blank-doc starting point, not the human judgment required to verify facts, edit for meaning, and make publishing decisions. The AI generates and refines. A human confirms, edits, and approves.
Six copy-paste prompts: draft generation from brief, voice refinement, fact-check and source flagging, SEO execution check, headline set generation, and post-publish calibration review. Each has a defined input and expected output.
