The Research Burden
Researching one piece at journalist depth takes 2-4 hours. At three pieces per day, that's up to 12 hours of research before you write a word. It's not sustainable. Nothing gets published.
Enterprise Infrastructure for Lean Publishers
Run a Newsroom.
With or Without a Team.
A fully automated news intelligence system that monitors stories, researches them at journalist depth, writes platform-native content, and produces full articles. Controlled 100% via Google Sheets. You never touch the code. We set it up on your own infrastructure, starting at $497.
We configure it for your niche and deliver it ready to run. You review everything before it goes live.
- 7 Interconnected Workflows
- 11-Phase Article Pipeline
- 22-Point HTML Verification
- $0.60/Month Research Infrastructure
- Self-Correcting Dual-Search Engine
- 3-Layer Data Honesty Architecture
The Production Bottleneck
Is Not Your Fault.
But It Is Your Problem.
You started publishing because you had something worth saying. A beat worth covering. An analysis sharper than what the mainstream was producing. A niche you understood better than anyone else.
What you didn't sign up for was the production operation.
The research that takes three hours before you write a single word. The image that takes forty-five minutes in Canva before you're satisfied it doesn't look embarrassing. The thread you planned to write at 9 AM that never got written because the research ran long and a client email arrived and suddenly it's 4 PM and the story is half a news cycle old.
You know what consistent, research-backed publishing looks like. You've seen it on the accounts growing fastest in your space. You know the difference between a thread written from one Google search and a thread written from genuine investigative depth. You can produce the second kind.
You just can't produce it three times a day, every day, while running everything else.
That is not a discipline problem. It is not a motivation problem. It is a production infrastructure problem — and production infrastructure is exactly what independent publishers have never had access to.
Until now.
The Google Zero Threat
Organic search traffic is projected to drop 43% as AI answer engines take over. If you aren't rapidly increasing your content velocity and atomizing across social channels, your audience is actively shrinking. Time is out.
The Consistency Trap
You know consistency is everything. You've read the statistics about how algorithmic reach compounds with frequency. You post when you can — which means sporadically — and watch the accounts that post daily pull ahead.
The AI Garbage Problem
You've tried the AI writing tools. The output is recognizably synthetic: generic sentence structure, no real sourcing, no counter-narrative depth. Publishing it as-is would embarrass you. Editing it takes as long as writing from scratch.
The Visual Gap
There is an immediate quality difference between your content's images and those of the publications you're competing with. Theirs are editorial and consistent. Yours are Canva templates that look like what they are.
The Data Journalism Gap
The most authoritative content in your niche uses data. Charts. Statistics with sources. You skip it because sourcing accurate data, building a chart, and embedding it correctly is an hour you don't have.
The Inconsistency Spiral
When a project, illness, or travel interrupts your posting, the recovery takes three times as long as the interruption. Every gap compounds the previous gaps. Audience momentum does not pause — it reverses.
The Team Economics Problem
The people publishing at the volume and quality you want are either burning out, have a team, or have a system. A team costs $3,000-8,000 per month. You don't have that. So you've been doing it manually.
The accounts growing fastest in your niche are not working harder than you. They have solved a problem you haven't solved yet.
You've Tried the Alternatives.
Here's Why They Couldn't Work.
You've tried AI writing tools.
ChatGPT. Jasper. Whatever the newest one is. They give you text generated from training data — not from live web research. There is no sourcing. No verification. No journalism framework. No image generation. No social publishing. No WordPress integration. And the output still sounds like it was written by a robot that read a lot of blog posts.
You've tried the SaaS Subscription Trap.
Stacking Jasper AI ($59/mo), Taplio ($39/mo), and other tools quickly scales past $1,400+ per year. And worse, they operate in silos. You are still the bottleneck manually transferring data, engineering prompts, and copy-pasting between platforms to maintain the production pipeline.
You've tried DIY n8n Templates.
You bought a $169 "content farming" JSON file online. Then you realized you had to manage complex API integrations, standardize wildly different RSS schemas, deduplicate database hashes, and build fallback error-handling logic. When an API endpoint changes, the workflow breaks, and you can't debug it.
You've thought about hiring.
You've priced out a social media manager, a research assistant, a graphic designer. Together they run $3,000-8,000 per month. You don't have that budget. And even if you did, the coordination overhead — briefings, revisions, communication, quality control — is itself a job.
The pattern: Every tool you've tried solves one part of the production problem. None of them solve the full pipeline. Because the full pipeline — from source monitoring through research through writing through editing through visual production through WordPress publishing through social distribution — has never been built as a single automated system for solo operators.
Until this.
What you need is not a better tool. You need the infrastructure.
This Is the Infrastructure.
The Autonomous News Intelligence System is not a writing tool. It is not an AI assistant. It is a complete editorial production infrastructure — seven interconnected automated workflows that replicate the full production operation of a staffed newsroom.
It runs semi-autonomously at scheduled times. It monitors your RSS feeds while you sleep. It scores every incoming story against your editorial standards. It researches high-priority stories across 15-20 sources — with a self-correcting, multi-chain AI research engine — in under three minutes.
And you control everything from a Google Sheet.
You do not need to log into n8n. You do not need to touch complex workflow builders. The automation drops the generated content (Twitter threads, Facebook posts, full articles) directly into your spreadsheet. You simply change a dropdown status to "Approve," and the system publishes it.
Your editorial judgment stays yours. The production infrastructure runs automatically. The base setup starts at $497.
$0.60/month
The full research infrastructure for 30 deep investigations per month. Not a typo.
// The Transformation
Before This System. After This System.
Before
After
Before
Research takes 4 hours. Writing takes 2. By the time the piece is ready, the story is half a news cycle old.
After
Research report delivered in under 3 minutes. Thread in review within 8 hours. Story covered while it's still news.
Before
Posting twice a week because that's all the production capacity you have — and watching the algorithm punish the gaps.
After
Three researched Twitter threads and three Facebook posts per day, every day, automatically — regardless of what else is happening in your schedule.
Before
Images made in Canva in a hurry — inconsistent, recognizably amateur, visually embarrassing next to media outlets in your niche.
After
Branded editorial images in FT-style visual language — generated per post, consistent, grounded in real institutions via Google Search grounding.
Before
"I should post something about that story." Then three days pass, the moment is gone, and you never covered it.
After
Every high-scoring story in your niche is flagged, researched, and drafted before you decide to write about it. Your queue waits for your judgment, not your capacity.
Before
Skipping data charts because finding the data, verifying it, and building the visualization is an hour you don't have.
After
Live, interactive Datawrapper charts built from original data research, confidence-scored, and embedded automatically — or replaced with an editorial image if the data doesn't clear the threshold.
Before
Feeling like a one-person blog competing against media outlets that have teams doing in a day what takes you a week.
After
Operating with the production infrastructure of a staffed newsroom — managed entirely from a Google Sheet.
What Monday Morning Looks Like
When the System Is Running
- 6:47 AM
You open your editorial queue in Google Sheets. Overnight, the News Monitor ran three cycles. It read every RSS feed in your source list — two dozen publications in your niche. It found eighteen new articles. It scored each one against your editorial taxonomy on three criteria: audience relevance, urgency, and source credibility. Thirteen scored below your threshold. Five scored above it.
Those five are at the top of your queue, summarized, categorized, and with an angle suggestion for each one. You read the summaries. You flag three. You change their Status field from
not-usedtoready. You close the laptop. - 7:03 AM
While you make coffee, the Research Engine fires on the first flagged article. It generates a custom reasoning framework for this specific topic. It runs three independent chains of analytical thinking to formulate the best possible search query. It sends two rounds of searches to the Brave API, evaluates the quality of the first results, and fires a corrective second search if the first didn't deliver enough depth. It extracts full article content from the top-ranked sources. It synthesizes everything into a 700-word intelligence report with citations.
Under three minutes. While the coffee brews.
- 7:15 AM
Three Twitter threads are being drafted in parallel. Each one runs the research report through a journalism framework — mandatory counter-narrative identification, historical precedent, expert attribution, three-impact analytical structure. The cover image AI agent is generating an FT-style editorial collage for the first tweet. The body image agents are working on the remaining five.
- 7:31 AM
Your Twitter review queue has three complete threads. Each has six tweets. Each tweet has its own AI-generated branded editorial image. The cover tweet has a real photograph scraped from the source article. The full research report is archived alongside each thread so you can verify any claim before you publish.
You spend fifteen minutes reviewing. One thread is good to go. One needs a small edit in Tweet 3. One you decide to hold for tomorrow.
- 7:47 AM
Two threads are scheduled. One is back in review status. The Facebook posts for the same three stories are in the Facebook queue, each with a 300-word counter-narrative post and a branded editorial collage image ready to go.
- 7:52 AM
Your entire content day is handled. You have three researched, sourced, visually produced content pieces approved for publication, and a complete audit trail of the research behind every claim.
You have a full day of editorial work ahead — the thinking, the judgment, the voice-of-expertise writing that only you can do. The production machine ran while you were making coffee.
That is not a hypothetical. That is what a configured system running in your niche looks like at 7:52 on a Monday morning.
Seven Workflows. One Continuous Pipeline.
Every Stage of Production Automated.
The system is not a single tool. It is seven interconnected workflows, each with a specific job, each feeding the next. Here is what each one does and why it was built the way it was.
// Workflow 01
The News Monitor
Your 24/7 Editorial Sentinel
What it does: Monitors every RSS feed in your source list continuously. Runs a dual-agent AI analysis on every new article — one agent categorizes and suggests angles, a second scores it on three editorial criteria out of 30 points. Deduplicates against everything already in your queue. Delivers a ranked, scored editorial briefing to Google Sheets.
The architectural decision worth knowing: The two AI agents are separated deliberately. Categorization is a creative editorial task. Scoring is an analytical evaluation task. Combining them into one LLM call produces worse results from both. Two agents. Two cognitive modes. Better editorial intelligence.
What this means for you: Open your spreadsheet and see exactly which stories from the last 24 hours deserve your attention — scored, summarized, with a suggested angle. No manual monitoring. No missed stories.
// Workflow 02
The Research Engine
Self-Correcting Investigative Research. In 3 Minutes.
What it does: Takes any topic and produces a 500-1,200 word cited intelligence report from live web sources. Runs a 12-step research protocol including: dynamic prompt generation customized per topic, three-chain query formulation, dual Brave API searches with AI-evaluated self-correction between them, source quality ranking, full-page content extraction, and multi-model synthesis (Gemini for reasoning, Grok for final synthesis).
The architectural decision worth knowing: The Analyst Emulator — the first stage of the research engine — does not perform research. It writes the instructions for the AI that will perform research, dynamically tailored to the exact topic. The quality of the final report is not limited by a static prompt template. It is dynamically optimized for every research cycle.
What this means for you: Research reports that cite 15-20 real sources, surface expert quotes, provide historical context, and cost $0.02 each to produce. Every piece of content this system creates — every thread, every Facebook post, every article — is grounded in a research report this engine produced.
Cost: $0.60/month for 30 research cycles. Everything except one xAI Grok API call is free tier.
// Workflow 03
The Twitter Thread Machine
Investigative Threads with Editorial Images. Three Times Daily.
What it does: Pulls high-scoring articles from the editorial queue, fires the Research Engine, writes a 6-tweet investigative thread using a journalism framework, generates 6 branded AI editorial images (FT-style cover + institutional body cards) via reference-image architecture with Google Search grounding, scrapes a real photograph from the source article, and delivers the complete thread to a review queue.
The architectural decision worth knowing: Before writing begins, the Thread Writer runs a mandatory reasoning protocol: counter-narrative identification, historical precedent research, stakeholder impact mapping, and audience relevance calibration. The thread is written after this reasoning is complete. The result is analysis, not summarization.
What this means for you: Six-tweet threads that cite real sources, name real institutions, provide the angle mainstream coverage misses, and carry branded editorial images — automatically, three times a day — for approximately $0.05-0.10 per thread.
The four visual modes: Control the visual presentation of every thread with one spreadsheet cell. Full AI image package. Featured article photo only. Hybrid. Or text-only for breaking news. One cell. No workflow editing.
// Workflow 04
The Facebook Post Machine
Platform-Native Facebook Posts. Built for the Algorithm.
What it does: Produces a single 250-450 word Facebook post — structured in five blocs engineered for Facebook's "See More" fold mechanics, emotional resonance triggers, and comment-driving question architecture — with a branded editorial collage image. Runs three times daily. Built on the same research engine as the Twitter workflow.
The architectural decision worth knowing: Facebook content is not repurposed Twitter content. The Facebook workflow was built from scratch for Facebook's algorithmic reality. The five-bloc structure — emotion anchor, hook, counter-narrative insight, human element, community question — is a journalism framework for social engagement, not a content template.
What this means for you: Facebook posts that feel written, not generated. Counter-narrative depth that rewards the "See More" click. Closing questions that earn comments. Brand-consistent visuals. Three times daily.
// Workflow 05
The Article Writing Pipeline
Publication-Grade Articles. Written, Edited, Verified, WordPress-Ready.
What it does: Takes a research-backed topic through an 11-phase production pipeline: editorial planning → JSON blueprint generation → chapter-by-chapter writing with independent focus per section → key takeaways generation → assembly and stitching → two-pass editorial review (developmental + copy) → pre-format review → HTML conversion → 22-point structural verification → clean WordPress output.
The architectural decision worth knowing: Each chapter is written independently — the LLM gives its full context window to one section at a time rather than trying to write a 2,000-word article in a single pass. This is the difference between focused and diffused attention.
What this means for you: A full article that has been outlined by an editorial architect, written section by section, assembled, reviewed in two professional passes, converted to HTML, and verified — delivered as a WordPress draft for your review.
// Workflow 06
The Visual Enrichment Pipeline
AI Images and Live Data Charts. Automatically.
What it does: Takes the finished article HTML, runs it through an HTML structure enforcer, then sends it to the Imagenator — an AI art director that makes editorial decisions about 2-4 visual placements. Each placement is routed to either the Image Generation Lane or the Chart Production Lane. Assembles the visuals and publishes to WordPress.
The architectural decision worth knowing: The Chart Production Lane performs original data research, validates the data, confidence-scores every row, and only publishes a chart if the data meets confidence thresholds. If it doesn't, the chart is automatically replaced with an editorial image. The system will not publish a chart with unreliable data.
What this means for you: Your articles have publication-grade visual enrichment — editorial images that look like a real publication's art direction and live interactive charts readers can hover over — from data the system researched and verified.
// Workflow 07
The Automated Publishing Layer
One Spreadsheet Cell. Live on Twitter and Facebook.
What it does: Takes approved content from the review queues and publishes it to Twitter/X and Facebook via the Blotato API. Manages content as a FIFO queue. Updates the source row's status to "posted" with a timestamp after every successful publication.
The architectural decision worth knowing: Nothing in this system auto-publishes. The publishing layer only activates when the operator changes the Status field. Editorial sovereignty is preserved at every stage. The automation executes the operator's decisions — it never makes them.
What this means for you: Change one cell in a spreadsheet. Your content goes live — correctly formatted, with the right images, on the right platform, with a complete audit trail.
This Is What the System Produces.
Not mockups. Not examples. Actual outputs from the system running on real news topics.
// Research Report
Produced in under 3 minutes · APA7 citations · 15-20 sources · Expert quotes
A 500-1,200 word intelligence report generated by the self-correcting research engine. Every claim is cited. Every source is real. Every report is archived alongside the content derived from it so you can verify anything before publication.
// Twitter Thread
6 tweets · Real scraped cover photo · 6 editorial images · Counter-narrative angle
A six-tweet investigative thread produced through a mandatory reasoning protocol — counter-narrative identification, historical precedent, stakeholder impact, expert attribution. Branded editorial images. Cover photo scraped from the source article. Ready for one-tap approval.
// Facebook Post
250-450 words · 5-bloc structure · See More hook · 9:16 editorial image
A platform-native Facebook post engineered around the See More fold. Five structural blocs — emotion anchor, hook, counter-narrative insight, human element, community question — paired with a branded editorial collage image. Written for comments, not impressions.
// Full Article + Data Chart
11-phase pipeline · 2 editorial passes · 22-point verification · Live Datawrapper chart
A full WordPress-ready article written section-by-section, reviewed in two professional passes (developmental + copy), converted to HTML, and structurally verified. Visual enrichment includes AI editorial images and live interactive Datawrapper charts built from original, confidence-scored data research.
Every piece of content you've seen above was delivered to a human review queue before publication. Every claim has a citation. Every image has a real-world reference. Every article went through two editorial passes. The operator reviewed and approved all of it.
This System Was Built for You If...
You are a solo journalist or independent reporter
You cover a specific beat with editorial standards you take seriously. You've been trying to build the publishing infrastructure that matches your journalistic ambitions — and you've been doing it alone. This system is the newsroom you couldn't hire.
You are a freelance writer building your own platform
You build your platform while doing client work. Your own publishing is always the last priority. Your Twitter hasn't been active in weeks. Your blog has sporadic pieces and six-month gaps. This system runs while you're billing. Your platform grows while you sleep.
You are an independent blogger or digital publisher
You understand content strategy and want to add a news dimension. You've watched news-adjacent accounts grow faster than opinion-only accounts. You just didn't have the research infrastructure to produce it at scale. Now you do.
You are a solo content creator or personal brand builder
You operate in a niche where news happens. You want to be the account people follow because they trust your analysis, not just because you post consistently. This system is the credibility layer that turns a creator account into a media account.
You are a lean media team or collective
You are a small editorial team facing declining ad revenues and increasing overhead. You need to reduce headcount or scale output drastically without sacrificing quality. You need enterprise-grade newsroom infrastructure designed for lean operations.
What all four of you share: editorial judgment that is already there. What you've been missing: the production infrastructure to exercise it every day, at scale, without burning out. That is exactly what this system provides.
Who This System Is Not For
// This is the honest section. It matters as much as everything above it.
You want fully automated publishing with no human review.
Every piece of content this system produces lands in a human review queue. You decide what gets published. The automation handles production; you handle editorial control. If you want a system that publishes without you, this is not it.
You are looking for a content marketing tool.
The system is built on journalism frameworks — research depth, source attribution, editorial rigor. It is not designed for product promotion or marketing copy. If your goal is creating promotional content for a business, this is the wrong tool.
You have no interest in daily editorial engagement.
Running this system well requires approximately 30-60 minutes per day of editorial attention. If you want to configure something and forget about it entirely, this will disappoint you.
You are a complete beginner to digital publishing.
The system assumes familiarity with Google Sheets, WordPress, and basic social media management. You don't need to understand n8n or APIs, but if you have never managed a content calendar, the editorial layer will feel overwhelming.
You represent a massive enterprise legacy media company.
This system is architected for solo operators and small, lean media teams. Massive enterprise needs — hundreds of seats, legacy CMS white-labeling, and multi-layered bureaucracy — are outside the scope of this product.
If you read the above and none of it describes you — you're a solo publisher who takes editorial quality seriously, wants to publish consistently, and understands that the tool requires your editorial judgment to work — then you are exactly who this was built for.
One Investment. One Configured System. Yours to Run.
The Human Equivalent
Research assistant, social media producer, editorial image designer, copy editor, data journalist, and CMS developer.
$4,800–13,500/mo
The market rate for this production output.
Le Système
Starts at $497
One-time setup. Full IP transfer.
- All 7 workflows configured for your niche before delivery
- Hosted on YOUR Google Cloud / API accounts
- 100% operated via a simple Google Sheet interface
- Base package for solo practitioners
- Enterprise/Team packages available (starting at $999+)
Optional maintenance pack available. ~$10-15/mo in API costs at full volume.
// Amortized Over 12 Months
$1.36 per day.
For $1.36 per day, you have a research assistant, a social media producer, an editorial image designer, and a copy editor working in your niche around the clock — every day of the year.
Questions Worth Answering Honestly
Will the content actually sound like me — or will it obviously be AI?
The system preserves your editorial voice because it's built into the configuration. Your tone guidelines, your editorial standards, your niche vocabulary — these travel through every agent in the pipeline as injected context.
That said, the output is AI-assisted. Some pieces will need minor editing before they're exactly how you'd write them. Most won't. The two-pass editorial review and the diagnose-then-treat architecture both exist to protect the writing from being homogenized. You review everything before it goes live.
Is the research actually reliable? What about AI hallucination?
The research engine operates on live web sources — it is not generating from training data. It extracts full-page content from 15-20 real publications per research cycle. Every report includes source citations you can verify. The system has multiple error-checking layers. But no automated research system is infallible. You review every research report before the content derived from it gets published.
I'm not technical. Can I actually use this?
You don't need to understand n8n, APIs, or workflow automation. We configure all of that before delivery on your own Google Cloud account. What you operate daily is a single Google Sheet (to manage your editorial queue) and WordPress (to review and publish article drafts). If you can use a spreadsheet, you can operate this system.
What happens when APIs break or I want to change a prompt?
APIs do break. Social platforms change their rules. Models update. If you are technical, you own the IP and can fix it yourself. If you aren't, we offer a $150/month Maintenance Package. If you are on the maintenance pack, we handle 100% of the debugging, workflow modifications, and custom prompt updates for you.
What are the real ongoing costs after the $497?
Approximately $10-15 per month in API costs at full publishing volume. ~$0.60/month for the research engine (xAI Grok), the rest from Blotato (social publishing API). Everything else — Brave Search, Jina.ai, Gemini, Datawrapper — is free. We will give you a complete cost breakdown during the configuration session.
How much time will I actually spend on this daily?
Approximately 30-60 minutes of editorial engagement per day for a full publishing operation. 5-10 minutes reviewing the queue, 10-15 minutes reviewing generated content, 2 minutes adjusting status fields, and 15-30 minutes reviewing WordPress articles. The system does not run itself without your editorial attention. That's by design.
Does this work for any niche — or is it specific to news journalism?
The system works for any niche where news happens and where there are RSS feeds to monitor. The RSS source list, editorial taxonomy, and content tone are all configured to your specific niche during setup — whether you cover technology, climate, finance, health, culture, local news, or any other news-adjacent domain.
Why does this start at $497 and not a monthly subscription?
Because you're not renting software. You're buying a configured system — one that is set up for your specific niche, your sources, and your brand, then delivered to you to own and operate on your infrastructure. The work of building and configuring it is a one-time effort. There is no forced ongoing platform fee from us. $497 is the base price of the system setup. That's it.
I'm not a journalist. Can this still work for me?
Yes. The journalism framework produces better content for any news-adjacent topic — because the structure of journalism (research depth, source attribution, counter-narrative analysis) is what produces authority, not a journalism credential. Plenty of the most authoritative voices on Twitter are not credentialed journalists. They're people who publish with journalistic rigor. This system gives you that rigor regardless of your background.
Stop Producing Manually.
Start Publishing at Newsroom Quality.
You've been doing this manually because there was no alternative.
Now there is.
The Autonomous News Intelligence & Publishing System is the production infrastructure for the independent publisher who takes editorial quality seriously. Research reports in under three minutes. Platform-native Twitter threads and Facebook posts three times a day. Full articles with interactive data charts delivered to WordPress as drafts. Everything reviewed by you before anything goes live.
Starts at $497
One-time setup. Full IP transfer.
Contact Us for Setup
We configure it for you before delivery. You review everything before it publishes. ~$10/month in API costs to run. Optional maintenance packs available.
// Limited configurations per month. Configured personally for your niche before delivery.