PERSONAL PROJECT DEMOHow a personal AI publishing workflow runs
AI helps research, draft and prepare assets. Evan reviews the evidence and decides what goes live.
A question worth exploring
Sources, claims and known gaps
Article text and visual assets
Verify claims and edit the story
Approve release and check the result
EMBER OUTLINE = HUMAN DECISION POINT
Working today
Video work in progress
Public and synthetic examples only. This personal project implies no employer endorsement.
PERSONAL PROJECT DEMOArticles remain drafts through ready; publication is a separate approved step
A topic becomes a source pack, an outline and an article. The queue records progress; it cannot authorize publication.
Research and authoring
Human editorial gate
researchTopic, sources and open questions
outlineResearch brief and a clear thesis
draftArticle text and diagrams
user-reviewFact-check, edit and request revisions
readyEditorially approved; still a draft
publishedApproved promotion and live verification
↺ Revisions return to draft
AI gathers support and flags gaps. Evan verifies load-bearing claims and the final wording.
The change, audit output and build evidence stay reviewable. Checks cannot prove factual truth.
Merging main triggers deployment. Owner approval covers that effect, and the live article is checked.
PERSONAL PROJECT DEMOThe agents, skills and handoffs behind each article and video
The engineering flow for the system itself: spec, tickets, implementation, review and deliberate release.
IN DEVELOPMENTAutomated runner | Live dashboard
The agent roles, skills and gates below. They turn a topic into a reviewed article and, later, video assets.
researcherGathers sources, records claims and flags open gaps
writerTurns the research brief into an article draft and script
reviewerChecks claims against sources and flags unsupported wording
media producerStoryboards, renders and versions visual and video assets
skillEach role runs a skill: reusable instructions that define its inputs, outputs and checks.
SourceEvidence is sound
ScriptClaims and story
Visual proofPreview render checked
NarrationVoice and captions
Final outputWatch, listen, verify
PublicationOwner approves release
EMBER OUTLINE = HUMAN DECISION POINT
PERSONAL PROJECT DEMOThe same process, each result inspectable with its evidence
Published example
21 September 2026
Jev vs. Laya: Where Decision Models Fit in the SDLC
Published follow-up
6 October 2026
Where Decision Models Fit in an AI Agent, and Where They Don’t
One claim should stay connected to its evidence
What the source actually says
What the article can support
How the reader sees the idea
brainbyteslab.org/articles/jev-vs-laya-decision-models
PERSONAL PROJECT DEMOThe format planner exists, and the first narrated explainer is published
Reuse the evidence. Adapt the script, pacing and visuals for each format.
Planning profiles
1-60 seconds
9:16 vertical · One clear idea
3-5 minutes
16:9 horizontal · Context and recent developments
5-10 minutes
16:9 horizontal · A deeper topic or walkthrough
First narrated explainer
Owner-approved. Voice, captions and an independent review are done.
Released
Published with the article. Longer formats are not built yet.
Review path · all four gates passed for this explainer
claims and story
voice and timing
watch, listen, verify
owner and destination
PERSONAL PROJECT DEMOExplainer · 16:9 · 59 seconds
One clear idea from the decision-models draft
/assets/articles/decision-models-agent-runtime/explainer.mp4