Live operation · data pipeline
Cerebral Valley
Collect, qualify, deduplicate, publish, and monitor global event data.
Automation systems for small-business operators
Make the work that repeats run without you.
I design and build focused workflows that collect, check, organize, and move information through your business—with monitoring, approval points, and a clean handoff.
No jargon-first discovery. We start with the repeated task.
50+events found daily
100+records processed hourly
2 wkprototype sprint
one workflowtwo weeks50% to start50% after acceptancemonitoring includedclean handoff
The useful kind of AI
Not another dashboard. A working operation with rules.
The system should know what to collect, what to reject, when to ask a person, where to publish, and how to tell you when something breaks.
Cerebral Valley / event operation
monitored
20sources monitored
50 → 100+records / hour
Alwayshealth scan on
Production proof
A global event pipeline that keeps itself accountable.
Built and maintained the operation behind Cerebral Valley’s public events directory. Scroll through the four controls that turn scraping into a dependable business process.
01
CollectRecurring checks across 20 event sources
02
QualifyRequired details checked before approval
03
DeduplicateLikely repeats held before destination
04
Publish + monitorSheets sync and failures produce a next action
Selected systems
Different problems. The same operating discipline.
Drag the rail or use the controls. Each project opens into a focused case popup instead of sending you through a maze of pages.
The offer
One workflow. Two weeks. No black box.
A focused working prototype for the repetitive operation costing your team time. Inputs, rules, approvals, outputs, monitoring, and handoff are defined before the build begins.
Draft launch price
$5,000
Fixed around an agreed workflow and written acceptance cases.
To start$2,500
After acceptance$2,500
One core operation
A clear start, transformation, approval point, and destination.
Acceptance cases
Written examples of what must work before the final payment.
Monitoring + failure
Logging, notifications, and a defined pause state where relevant.
Documentation + handoff
Your accounts, deployment, data, and project-specific system stay yours.
How it works
From repeated task to working system.
Short loops, visible progress, and no waiting until the last day to discover whether the workflow makes sense.
01 · days 1–2
Map it.
We follow the current task, define the risky edge cases, and lock the acceptance boundary.
02 · days 3–10
Build it.
The workflow comes together in visible stages: inputs, rules, human review, outputs, and failure handling.
03 · days 11–14
Own it.
We test the agreed cases, correct the rough edges, document the operation, and complete the handoff.
Technology follows the workflow
Practical tools. Specific systems.
Application code where control matters, automation platforms where speed matters, and structured AI only where interpretation is useful.
Built for
the operation
Next.js + TypeScript
Python
browser automation
n8n
Postgres
monitoring + alerts
the operation
Useful systems need limits
Clear before we start.
The sprint stays fast because the operational boundary is explicit.
What counts as one workflow?
One repeatable operational outcome with a defined input, transformation, approval point, and output. Multiple unrelated systems or an open-ended product roadmap are scoped separately.
Why two weeks?
The timeframe forces a useful first boundary. It is enough to ship a working prototype, test real cases, and learn what should become production scope without turning discovery into a month of meetings.
When is the second payment due?
After the written acceptance cases for the agreed workflow have been demonstrated. New requests outside that boundary are discussed separately rather than quietly added to the finish line.
What happens when something fails?
The workflow receives a defined failure state: pause, retry, notify, or route to a person. Silent failure is treated as a design problem, not an acceptable surprise.
Do I own the system?
Your data, accounts, credentials, deployment, and project-specific workflow remain under your control. Reusable libraries and general development methods remain separate from your business implementation.
Start with the repeated task
What does your team do again tomorrow?
Send four lines on Twitter or Instagram. I will tell you whether it fits a two-week workflow prototype.