Now booking free workflow audits

Your business does not need another chatbot.
It needs a workflow system.

Turn one repeated task into an AI system that runs on schedule, checks the right sources, summarizes the noise, drafts the next move, and queues it for human approval.

Content, research, digests, ad monitoring, inbox workflows, local SEO, and custom agent setups, all built around the tools you already use.

Cron-ready
Daily, weekly, or trigger-based systems
Approved
Drafts before sends or live updates
Multi-source
Web, inbox, docs, sheets, feeds, tools
$149+
Start with one useful workflow
No tech homework You bring the annoying task. I map the workflow and handle the build.
Approval-gated setup Nothing connects, sends, or changes data until you approve the workflow.
Built from real systems work Experience with scheduled agents, Gmail/Workspace flows, browser tasks, research pipelines, digests, and tool-connected AI systems.

Practical AI systems you can actually use

Start with one workflow. I connect the sources, rules, schedule, prompts, approvals, and outputs so the system does useful work without becoming a mystery bot.

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Content pipelines

Turn raw notes, links, transcripts, product updates, or research into drafts, outlines, posts, newsletters, and reusable content queues.

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Market and ad monitoring

Track competitors, offers, landing pages, ads, pricing changes, search results, or niche signals, then get a short alert when something worth acting on changes.

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News, trader, and marketing digests

Daily or weekly summaries from the sources you care about: news, social feeds, websites, inboxes, market notes, internal docs, or saved searches.

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Cron jobs for boring work

Automations that run every morning, every hour, every Friday, or whenever a trigger hits to check sources, update sheets, draft reports, or send summaries.

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Inbox and Workspace workflows

Classify emails, draft replies, update sheets, summarize docs, route requests, prep follow-ups, and keep the admin queue moving with approval gates.

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Self-learning workflows

Keep a memory of decisions, examples, edge cases, and preferred outputs so systems get easier to tune over time, without handing control to an unsupervised bot.

What your first automation could look like

No fake testimonials. These are realistic starter systems we can scope during the free audit.

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Daily marketing edge digest

Checks selected competitors, ads, landing pages, keywords, newsletters, or social sources and sends a short digest: what changed, why it might matter, and suggested next actions.

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Content repurposing pipeline

Drop in notes, links, transcripts, or rough ideas. The workflow turns them into cleaned-up drafts, hooks, post variants, newsletter sections, or a publishing queue for review.

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Trader / market brief

Scheduled research pulls relevant news, tickers, filings, watchlists, or saved sources into a concise brief with links, summaries, and flagged items for manual review. Not financial advice.

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Inbox-to-action workflow

Incoming messages get classified, summarized, routed, and drafted. Urgent items are flagged. Routine replies and follow-ups wait for approval before sending.

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Lead research and follow-up prep

When a new lead comes in, the system researches context, summarizes the opportunity, drafts a custom reply, and creates the next task in your sheet or CRM.

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Weekly ops report

Pull from forms, sheets, emails, tasks, or notes and generate a weekly summary: open loops, stuck items, recurring issues, completed work, and suggested priorities.

From messy workflow to running system

We do not start with β€œAI.” We start with the repeated task, the sources, the decision points, the schedule, and the human approvals.

01

Pick the workflow

Bring one repeated task: checking sources, summarizing news, monitoring ads, drafting content, triaging email, updating sheets, or preparing follow-ups.

02

Map the system

We define inputs, rules, schedule, outputs, approvals, failure cases, and what the automation should never do.

03

Build the first version

I connect the tools, prompts, scripts, agents, docs, and schedules needed to make the workflow run in the real world.

04

Test, document, tune

You get a walkthrough, written instructions, and a clear path to improve the system once it proves useful.

What happens in the 15-minute audit

This is not a vague discovery call. We pick one repeated workflow and decide if it is worth turning into a small system.

01

Find the repeated loop

We identify the task you keep doing manually: checking sources, triaging messages, writing updates, building reports, or preparing follow-ups.

02

Map inputs and outputs

We define the sources, tools, rules, schedule, final output, and where the result should land: email, sheet, doc, queue, digest, or task list.

03

Decide what stays human

We mark anything that should require approval before sending, posting, changing live data, deleting, buying, or contacting someone.

04

Scope the first useful build

You leave with a practical recommendation: Starter Workflow, Operating System Build, Custom Agent System, or no-build if automation is not worth it yet.

Bring the messy workflow. I will turn it into a simple system map.

Book Free Workflow Audit

Useful automation without loose-cannon AI.

Sensitive workflows should not run blindly. I build with limited permissions, clear logs, approval checkpoints, and documented rules for what the system can read, draft, send, update, or delete. The goal is leverage, not a mystery bot making business decisions behind your back.

Start with one workflow. Scale what works.

Pick the smallest build that creates a real output. Each tier starts with a scoped workflow map, clear approval rules, and a handoff you can actually use.

Tier 1

Starter Workflow

$149

Best for one narrow task with one clear output.

  • 30-minute setup call
  • One workflow or scheduled task
  • Example: digest, draft, alert, or sheet update
  • Basic documentation
  • Email or chat support
  • Typical turnaround: same day to 48 hours
Book Free Audit
Tier 3

Monthly Automation Partner

$199/mo

Best after the first workflow proves useful and needs tuning.

  • Support calls
  • Workflow adjustments
  • New scheduled checks or reports
  • Prompt and rule tuning
  • Updates and maintenance
  • Monthly priority queue
Book Free Audit
Tier 4

Custom Agent System

$1,500+

Best for deeper systems, private tools, browser tasks, or specialized agents.

  • Deep workflow analysis
  • Custom agent and tool setup
  • Browser, inbox, docs, sheets, or CRM integrations
  • Testing and deployment
  • 30 days included support
  • Full documentation
Book Free Audit

Best for people who live in repeated workflows

If your week includes checking the same sources, writing the same updates, sending the same replies, or building the same reports, there is probably a first automation worth testing.

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Local businesses and property managers

For inbox triage, maintenance requests, appointment follow-ups, review requests, owner updates, customer replies, reminders, and simple reporting workflows.

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Operators and founders

For people who need a daily pulse on leads, customers, tasks, competitors, and open loops without checking ten places manually.

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Marketers and creators

For turning research, links, transcripts, ideas, and trend monitoring into drafts, briefs, posts, newsletters, and content queues.

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Traders and researchers

For scheduled market/news briefs, watchlist summaries, source monitoring, and flagged items for manual review, not automated financial decisions.

First workflows worth automating

The first win is usually not a giant AI transformation. It is one repeated loop that starts checking, summarizing, drafting, routing, remembering, or reporting for you.

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Check selected sources on a schedule and flag changes worth reviewing: competitors, ads, inboxes, news, watchlists, saved searches, or business dashboards.
PM
Monitor
Sources, changes, alerts
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Turn long pages, emails, feeds, docs, transcripts, or notes into short useful briefs with links, summaries, and next-step suggestions.
LB
Summarize
Briefs, reports, digests
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Prepare replies, posts, reports, follow-ups, research notes, and next-step recommendations, queued for human approval where it matters.
AI
Draft
Content, replies, actions

Built from real systems work, not AI theater

Instead of fake testimonials, here are the types of working systems this offer is based on.

Creator Content

Music, video, and platform-native media

Music-first creator work blending production, internet culture, launch content, and short-form distribution. Public proof includes preserved Ray J / Preballin links and archived evidence bundles.

AI Workflow Systems

OpenClaw / Hermes style operating loops

Discord and Telegram connected agents, scheduled reports, browser workflows, document automation, research synthesis, and human approval queues built for real daily use.

Automation Ops

Job and lead application workflows

Approval-gated systems that prepare materials, use persistent Chromium for handoff, fill ordinary fields when safe, and stop at login, MFA, captcha, legal, payment, or judgment-heavy blockers.

Security-Minded AI Operator

Useful automation without cowboy behavior

Not a full-time cybersecurity engineer. A practical AI/workflow operator who treats credentials, API keys, environment files, permissions, secret redaction, and pre-publication audits like first-class build requirements.

Private Market Systems

Sanitized research infrastructure

Private crypto and prediction-market research systems can become public only as stripped-down educational examples: dummy data, no wallet signing, no keys, no alpha leaks, and explicit security checks.

Coming Soon

Scene Partner and creative tools

Creative-education prototypes at the intersection of acting, music, audio, and AI. Public case studies come after launch, with demos and privacy notes instead of vaporware claims.

AI video, music, crypto, and launch media proof links

Public proof links for creator work, AI-assisted video, music-adjacent launch media, community campaigns, and growth/content experiments.

Built by someone who actually builds the workflows

Thaddeus Arndt, founder of Preballin

Thaddeus Arndt

Founder of Preballin. Practical AI systems, not strategy PDFs.

I’m Thaddeus Arndt, founder of Preballin. I build practical AI systems for people who do not want another dashboard, chatbot, or strategy PDF.

My work focuses on connecting AI to real operations: inboxes, calendars, docs, spreadsheets, browsers, scheduled jobs, research sources, and approval queues.

Recent builds include scheduled research agents, Gmail/Workspace workflows, browser-assisted automations, content pipelines, market/news digests, and multi-step AI agent systems. Preballin brings that approach to small teams without enterprise consulting prices or AI theater.

I am also security-minded about automation: approval gates, limited permissions, credential hygiene, keyrings, API-key protection, environment-file discipline, secret redaction, and audits before systems send, post, spend, delete, or publish.

See my other work β†’

Questions before you install a system

Reasonable skepticism is healthy. Here is how I keep scheduled jobs, monitoring, content, and inbox workflows practical, scoped, and safe.

Do I need to be technical?

No. You explain the repetitive task in normal language. I translate it into a workflow and show you how to use it.

What tools can you connect?

Common starting points include Gmail, Google Calendar, Google Sheets, forms, docs, CRMs, website forms, browser workflows, X/Twitter/bookmark sources, news feeds, and custom agents.

Will AI send emails, post content, or change data without approval?

Not by default. Most first builds create drafts, queues, summaries, or alerts for human review. Anything that sends, posts, purchases, deletes, or changes live data must be explicitly scoped.

Can this run automatically on a schedule?

Yes. Workflows can run hourly, daily, weekly, or on a trigger. For sensitive actions, the system can prepare drafts or alerts instead of sending or changing anything automatically.

Can you build market, news, or competitor monitoring?

Yes. We define approved sources, search terms, competitors, feeds, or pages to monitor, then generate a digest or alert when something relevant changes.

What does β€œself-learning” mean?

It means the workflow can keep examples, preferences, corrections, and decisions so future outputs are easier to tune. It does not mean handing control to unsupervised AI.

Bring one annoying workflow.

In 15 minutes, we map the sources, rules, schedule, output, and approval points for one workflow. If it is not worth automating, I will tell you.

Ready to test one useful automation?

Book the audit if you already know the workflow. Use the form if you want to describe the mess first.

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Email preballin@preballin.com
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Twitter / X @preballin
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Location Remote, serving clients everywhere
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