Questions about Prymetheus, answered.
What is Prymetheus?
Prymetheus builds custom operational systems — workflow automation, custom software and internal tools, system integrations and data infrastructure, and AI where it genuinely helps. Each system is designed around how a business actually operates, and the client owns the code, data, documentation, and deployment.
Is every project an AI project?
No. AI is one of four capabilities, not the point of the work. Plenty of engagements are automation, custom software, or integration work with no AI in them at all. AI is used only where it provides real operational value — never bolted on to make a system sound impressive.
How is Prymetheus different from a web or software agency?
Most agencies hand back a project and keep you dependent on them — or build inside platforms you can never leave. Prymetheus builds systems shaped around your operation and hands over everything: the code, the data, the documentation, and a deployment you control. The goal is infrastructure you own, not a retainer you can't escape.
How is Prymetheus different from an automation tool like Zapier or Make?
Those connect tools inside another rented platform. Prymetheus can use them where they're the right fit, but the work is broader: we diagnose what should be automated, replaced, connected, custom-built, or left alone — then build a system you own rather than another subscription layer.
Is Prymetheus a SaaS product or a custom build service?
A custom build service. Each engagement produces a system built specifically for your business. You receive the code, documentation, and everything needed to run it independently. There's no required ongoing license and no dependency on Prymetheus after handover.
What does workflow automation cover?
Automations, orchestration, pipelines, and assisted workflows that take repetitive manual work off a team — handoffs, data entry, routing, reminders, and follow-up — while keeping human approval exactly where judgment is required.
What kind of custom software do you build?
Purpose-built applications, internal tools, dashboards, client and customer portals, operational CRMs, and customer-facing software — for the parts of an operation that off-the-shelf SaaS can't adequately fit.
What do integrations and data infrastructure involve?
APIs, synchronization, event flows, reporting systems, and data pipelines that connect the tools a business already uses, so information moves between systems automatically instead of being re-entered by hand.
When does it make sense to add AI?
When a problem genuinely benefits from it — agents with real guardrails, retrieval over your own documents, private knowledge interfaces, or decision support. If a plain workflow or a bit of automation solves the problem better, that's what gets built instead.
Can a project combine more than one of these?
Usually it does. Most engagements mix automation, custom software, integration, and sometimes AI. We start from the bottleneck and choose the combination that fits it — not the other way around.
What do I own at the end of an engagement?
The complete system: the code, the repository, all documentation, any structured data or knowledge layer, and a handover covering everything needed to operate it independently. Nothing is licensed back to you, and nothing requires ongoing access to Prymetheus to keep functioning.
Where does the system run — local, cloud, or managed?
Whatever fits your operational, privacy, and reliability requirements. That can be local (on your own machine), private-cloud, or a managed deployment. Local or customer-controlled deployment is an important option and a real differentiator — but it isn't forced on workloads where cloud is the better fit.
Does owning my system mean replacing all my current tools?
No. Some tools should stay because they're still the right endpoint for what they do. The goal is to own the layer that holds your operation together and connect the rest — not to rip out everything you already use.
What happens if we stop working together?
The system and its data stay with you, on infrastructure you control. Because you have the code and documentation, you (or any developer you bring on) can keep running and changing it without Prymetheus.
How does a project start?
Describe where the work is getting stuck — you don't need to know whether the answer is software, automation, integration, or AI. From there we understand the operation, propose a system and its boundaries, and scope what it takes to build. There's no obligation to proceed.
Do I have to do a paid audit first?
No. A structured workflow diagnostic is one way in when the bottleneck isn't obvious yet — but it isn't required for every engagement. Many projects start directly from a conversation about a known problem.
How is pricing determined?
Pricing is scoped per project, because a single automation and a multi-system build are very different amounts of work. Scope, ownership, and deployment are defined before anything is priced, so you know what you're getting and what you'll own before committing.
Will you maintain the system after handover?
You can take full ownership and run it yourself, or keep Prymetheus on for support under an explicit agreement. It's your call — support is an option, not a dependency baked into the build.
Who is Prymetheus for?
Owner-operated businesses, founders, and operational leaders with real, repeating work who are tired of fragmented tools and manual coordination — and who would rather own the system that runs their operation than rent another platform. Most engagements are with established businesses that have a working operation to build around.
Who is Prymetheus not for?
It's a weaker fit for idea-stage businesses with no repeating workflows yet, anyone looking only for off-the-shelf templates or generic advice, or anyone expecting a system to be built with no input about how their operation actually works. Building something that fits requires real context and participation.
Start your project.
You don't need to know whether your problem is software, automation, integration, or AI — that's our job to figure out. Describe the bottleneck in plain terms, and we'll tell you what could be built and what it would take.