Research & monitoring
Track defined sources, collect information, notice changes, and produce useful reports or alerts.
Custom AI Agents & Automation
Turn repetitive digital work into software that can do the job.
Skowron Works builds custom AI agents and automated software workers that research, monitor, organize, verify, communicate, and act through defined tools and workflows. You describe the business job. We implement the system.
The job
What an agent can do for a business.
These are bounded workers for specific digital tasks—not a chatbot, and not a promise to run the company.
Customer / lead workflows
Intake, qualification, FAQs, routing, information gathering, and structured follow-up.
Business operations
Repetitive browser, API, data-entry, checking, comparison, or administrative workflows.
Internal knowledge
Agents that work with approved documents, processes, reference information, and tools.
Commerce / listing intelligence
Monitor products, listings, prices, availability, marketplaces, or other changing public information.
Agent integrations
Connect agents to APIs, MCP tools, external software, databases, and machine-to-machine services.
Working proof
Live Listing Proof is a real system, not a slide.
Live Listing Proof is a production machine-to-machine verification service built by Skowron Works. Agents send a public listing URL and a claim; the service returns source-supported facts or an explicit fail-closed state. It is live, paid per call, and documented for machines.
- Live production API on Base mainnet
- x402 micropayments at $0.02 USDC per verification
- MCP Registry publication and A2A Agent Card
- Machine-readable OpenAPI and input/output schemas
- Automated accounting for settlements
- Routed public-web verification with fail-closed blocked/removed/unsupported states
- Internal corpus exceeding 10,000 qualified listing URLs, with observation and lifecycle records
Owner-funded test settlements are not customer revenue. No outside paid usage is claimed here.
How the work is delivered
A bounded build, not an open-ended experiment.
01
Define the job
The repetitive digital task, inputs, outputs, systems, and constraints.
02
Prototype the workflow
A bounded working proof against real examples.
03
Build and connect
Approved data, APIs, websites, tools, or business systems.
04
Test failure cases
Missing information, blocked access, system failure, or insufficient confidence.
05
Deploy
The finished workflow in the environment that fits the job.
06
Support / improve
Optional maintenance based on actual usage.
What we need
You do not need to know MCP or prompt engineering.
Describe the business problem. Skowron Works handles implementation.
- The job you want automated
- Examples of the current manual workflow
- Systems and tools involved
- Required outputs
- Access to approved APIs, accounts, or data when necessary
- Constraints and approval rules
Fit
Good-fit vs. poor-fit.
Good fit
- Repetitive digital work
- Recurring research or monitoring
- Information comparison
- Structured decision support
- Workflow handoffs
- API- or tool-connected processes
- Jobs with a clear success condition
Poor fit
- Vague “make AI run my company” requests
- Workflows that need unrestricted authority
- Work with no definable success condition
Service types
How engagements are structured.
Pricing is quoted for the actual job. Request a quote rather than assuming a package price.
Agent prototype
Prove a narrowly defined workflow with working software and real examples.
Production agent
Build, test, connect, and deploy the complete bounded workflow.
Ongoing agent support
Monitoring, maintenance, workflow changes, integrations, and reliability improvements.
Next
Discuss the job you want automated.
Tell us the task, how it is done today, and what the finished output should be. No technical brief is required.
Discuss an Agent