Scopes the real problem
Starts with the actual workflow and success criteria, not a feature list: so we build the right thing.
Foundations · Build
When the off-the-shelf agent doesn't fit, we build it.
Some workflows are too specific for a template and too valuable to leave manual. We scope the real problem, build a purpose-made AI tool around it (UI, logic, integrations, evals) and hand it over as something you own.
What are custom AI tools?
Custom AI tools are bespoke applications we build when no template agent fits your need. We start from the actual workflow, design the right interface and logic, build it on Claude with your integrations, wrap it in evals and guardrails, and deliver it as software you own. This is the build path for the edge cases, a proprietary process, an unusual data shape, a tool your team uses all day that doesn't exist yet. Foundations tier. If a standard agent from our catalogue covers it, we'll tell you and save you the spend.
theagency47 · Updated June 2026 The spec sheet
How the Custom AI Tools actually works.
| Job-to-be-done | Build a purpose-made AI tool for a workflow no off-the-shelf agent covers |
| Tier | Foundations (bespoke build) |
| Underlying model | Anthropic Claude (model chosen per task) |
| Process | Scope → prototype → build → eval → deploy → handover |
| Inputs | The problem, current process, data shape, integration targets, success criteria |
| Deliverables | Working tool (UI + logic + integrations), eval suite, docs, source/ownership |
| Guardrails | Evals, human-in-the-loop where needed, audit logging |
| Ownership | You own the tool and its code |
| Outcome measured | Task time removed, accuracy, adoption, reliability |
What it does
The work it takes off your team.
Purpose-built UI
Designs an interface that fits how your team works, instead of forcing your process into a generic tool.
Your integrations
Connects to your systems, data, and APIs: including proprietary ones a template could never support.
Evals + guardrails
Ships with a test suite, human-in-the-loop where it matters, and audit logging: production-grade, not a demo.
You own it
Delivered as software you own, with source and documentation: not locked behind our subscription.
Honest scoping
If a standard catalogue agent would do the job, we say so and steer you there instead of overbuilding.
Integrations
Standard integration stack.
- Anything with an API, including proprietary and internal systems
- Data: your databases, warehouses, file stores
- Models: Claude (and others where it genuinely fits)
- Deploy: your cloud or ours, self-host options
- Handover: source, docs, eval suite
Custom integrations with proprietary systems are quoted as add-ons. Not sure if yours fits? Describe your stack and we'll confirm.
What it looks like in practice
A typical run.
- Scope, We map the problem, data, and success criteria together.
- Prototype, A working prototype proves the approach before full build.
- Build & eval, We build the tool and its eval suite, with guardrails baked in.
- Deploy & handover, Deployed to your environment, documented, and handed over as yours.
FAQ
Questions about the Custom AI Tools.
When do I need custom instead of a catalogue agent?
When your workflow is genuinely specific, a proprietary process, an unusual data shape, or a tool your team needs that doesn't exist. If a standard catalogue agent fits, that's faster and cheaper, and we'll tell you.
Do I own what you build?
Yes, you own the tool, its source, and documentation. It's not locked behind our subscription. That's a deliberate part of how we work.
How is it priced?
Scoped per project after a discovery conversation, because custom work varies. We prototype to de-risk before committing to a full build, so you see the approach work early.
How do I start?
A discovery call to scope the problem, or write up the workflow and we'll come back with an approach and rough shape.
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