Build with AI

Describe the software you need. Get a working system, not a template.

Fifty build paths — CRMs, trackers, dashboards, portals, internal tools — each starting from a plain-language brief rather than a blank schema or a rigid product you have to bend your process around.

50

Build paths across sales, marketing, ops, and finance

Connected

Built against systems you already run

Yours

Your process defines the model, not the template

Introduction

The gap these pages address.

Most teams needing internal software have two options, and both are bad. Buy a product built around someone else's process and spend the next two years configuring around the mismatch. Or join an engineering backlog where the request is real, small, and permanently outranked.

The third path is describing what the work actually is — the record, its states, who owns it, what happens at each transition — and having that become working software. Not a form builder, and not a template with your logo on it: an interface over a model that matches how the job is done.

Each page below takes one such build, states the problem it solves, what gets created, which systems it connects to, and where the boundary sits. They are build briefs, not product tours.

Starting point
A plain-language description
Output
A working interface over a real record model
Systems
Existing ones stay authoritative

Why this exists

Why generic tools and blank canvases both fail here.

A generic product encodes a process. When yours differs, the difference becomes configuration, then custom fields, then a spreadsheet beside the product holding the part it could not express. The spreadsheet is where the real process lives, and nobody owns it.

A blank canvas has the opposite problem. Low-code builders start from an empty database and require you to already know the schema, the states, and the permissions — which is exactly the knowledge the person with the problem does not have written down.

The build that works starts from a description of the job and produces both: a record model that fits the process, and an interface someone will actually use on a Tuesday.

You're likely here because

  • A core process runs in a spreadsheet nobody wants to own
  • The product of record is configured around a process it does not fit
  • An internal software request has been in the backlog for more than two quarters
  • The same information is re-keyed between two systems every week

How to choose

Pick by the job, not by the tool category.

If

Sales process does not fit the CRM you bought

If

Leads arrive and go missing between systems

If

Reporting means assembling exports every Monday

If

Campaign traffic converts into a dead-end inbox

How it works

How a brief becomes working software.

Each stage is separable, which is what makes the result debuggable rather than a single opaque generation step.

01Describe the job in plain language02Resolve the record and its states03Connect the systems that stayauthoritative04Generate the working surface05Run it beside the current method

Step 01

Describe the job in plain language

What the thing is, what happens to it, who owns it at each point. No schema, no field types — the description a person would give a new colleague.

Step 02

Resolve the record and its states

ARIA turns the description into an explicit model: the record, its states, the transitions, and the owner in each state. Most internal-software problems are undefined-state problems.

Step 03

Connect the systems that stay authoritative

Accounting stays accounting; the CRM stays the CRM. The build reads and writes across them rather than becoming a second copy of anything they own.

Step 04

Generate the working surface

Queues, detail views, approvals, and dashboards over the real model — an interface people work in, not a form that emails a mailbox.

Step 05

Run it beside the current method

The old process stays available until the new one is clearly better. Adoption, not capability, is what makes internal software fail.

All build paths

Every build, grouped by function — 47 in total.

Each page states the problem, what gets built, the workflows it enables, and the systems it typically connects to.

Build a CRM with AI

Build a CRM around the way your team actually sells.

See the build path →

Build a sales dashboard with AI

Turn pipeline data into a sales dashboard built for the questions your team asks.

See the build path →

Build a lead tracker with AI

Create a lead tracker that follows prospects from first touch to next action.

See the build path →

Build a sales pipeline with AI

Build a pipeline system around your stages, not someone else’s.

See the build path →

Build a prospecting system with AI

Turn targeting, research, outreach, and next actions into one prospecting workflow.

See the build path →

Build a customer database with AI

Create a customer database shaped around the records your business actually needs.

See the build path →

Build a deal tracker with AI

Create a deal tracker that makes next action and risk visible.

See the build path →

Build a RevOps dashboard with AI

Connect funnel, pipeline, activity, and attribution in one RevOps operating view.

See the build path →

Build a sales operations platform with AI

Build the operating layer your sales team needs without buying another rigid suite.

See the build path →

Build a landing page with AI

Go from campaign brief to a conversion-ready landing page.

See the build path →

Build a marketing dashboard with AI

Build one view of spend, traffic, leads, conversion, and revenue influence.

See the build path →

Build an email marketing system with AI

Create an email workflow around your audience, triggers, and conversion path.

See the build path →

Build a lead generation website with AI

Build a website designed to turn traffic into qualified conversations.

See the build path →

Build a marketing automation system with AI

Turn campaign triggers and handoffs into a connected marketing workflow.

See the build path →

Build a content management system with AI

Create a content workflow around the way your team plans, approves, and publishes.

See the build path →

Build a conversion dashboard with AI

Build a dashboard around the moments where visitors become leads and customers.

See the build path →

Build a customer acquisition dashboard with AI

See acquisition from spend to closed revenue in one operating view.

See the build path →

Build a website in 5 minutes with AI

Turn a plain-language website brief into a working first version in minutes.

See the build path →

Build an operations dashboard with AI

Create an operations dashboard around the signals that actually run the business.

See the build path →

Build a project tracker with AI

Build a project tracker around your milestones, owners, blockers, and decisions.

See the build path →

Build an approval workflow with AI

Turn manual approvals into a visible, traceable workflow.

See the build path →

Build an intake system with AI

Create an intake workflow that captures the right information before work begins.

See the build path →

Build a workflow application with AI

Turn a repeatable business process into software built around the actual handoffs.

See the build path →

Build a business dashboard with AI

Build a business dashboard around the decisions leadership needs to make.

See the build path →

Build a task management system with AI

Create a task system that matches the way work moves through your team.

See the build path →

Build an inventory system with AI

Build an inventory workflow around stock, movement, exceptions, and replenishment.

See the build path →

Build a scheduling system with AI

Create a scheduling workflow around real availability, context, and next actions.

See the build path →

Build an internal tool with AI

Turn the spreadsheet or manual process your team depends on into a focused internal application.

See the build path →

Build an agency client portal with AI

Give clients one place for deliverables, reporting, requests, and next steps.

See the build path →

Build a medical practice portal with AI

Create a non-clinical practice portal for intake, scheduling, status, and administration.

See the build path →

Build a law firm case tracker with AI

Create an operational matter tracker without replacing legal judgment.

See the build path →

Build a real estate CRM with AI

Build a real estate CRM around inquiries, properties, appointments, and follow-up.

See the build path →

Build a contractor dashboard with AI

Create an operating dashboard for leads, estimates, jobs, crews, and revenue.

See the build path →

Build a property management system with AI

Build a focused property workflow for units, requests, vendors, and operating status.

See the build path →

Build an insurance workflow system with AI

Create an operational insurance workflow without automating regulated judgment.

See the build path →

Build an accounting workflow app with AI

Turn recurring client-service administration into a focused accounting workflow app.

See the build path →

Build a consulting client portal with AI

Productize repeatable consulting delivery in a client-facing portal.

See the build path →

Build a coaching platform with AI

Create a coaching platform around programs, clients, progress, resources, and scheduling.

See the build path →

Build a business operating system with AI

Create a connected operating layer around the workflows your company actually runs.

See the build path →

Build a Palantir-style operating system

Use the operating-system idea without pretending every company needs the same enterprise stack.

See the build path →

Build an AI operator

Create an AI operator that works inside a bounded business workflow.

See the build path →

Build an AI workflow platform

Create an AI workflow platform around triggers, context, decisions, actions, and outcomes.

See the build path →

Build an autonomous business workflow

Build a bounded autonomous workflow that can detect, decide, act, and report.

See the build path →

Build a company knowledge system with AI

Create a knowledge system that connects documents, decisions, workflows, and operating context.

See the build path →

Build a customer service platform with AI

Create a customer-service workspace around context, requests, ownership, and next actions.

See the build path →

Build an AI app without coding

Turn an AI application idea into a working first version without starting from code.

See the build path →

Build custom business software with AI

Build the software your process needs instead of buying another almost-right tool.

See the build path →

Scope

What this does not claim.

  • It does not replace your systems of record. The accounting package and the CRM keep their authority; the build works around them.
  • It does not remove the need to define the process. Automating an undefined process makes the confusion faster, and definition is the first work.
  • It does not produce a finished product from one sentence. The first version is bounded on purpose, and it improves against use.
  • It is not a substitute for engineering where the problem is genuinely an engineering problem — high-scale, latency-critical, or deeply custom systems belong with engineers.

FAQ

Questions about this collection.

Do I need to know what fields I want?

No. Describing the job is the input; resolving it into records, states, and fields is the work the platform does. Arriving with a schema usually means arriving with someone else's.

Can it connect to the systems we already pay for?

Yes, subject to what each system exposes and what your workspace has authorised. Connection availability is a real constraint and is worth checking before designing around it.

What happens to the spreadsheet we are replacing?

It runs in parallel until the replacement is trusted, and it is archived read-only rather than deleted. The undocumented rules inside it are elicited first — that is usually the most valuable part of the migration.

How is this different from a low-code builder?

A builder starts from an empty database and asks you to already know the model. This starts from a description of the job and produces the model, which is the part the person with the problem cannot supply.

What is a realistic first project?

One bounded, frequent workflow — the thing costing time every week, not the biggest thing. Frequency beats size, because a frequent workflow produces evidence within one cycle.

Start here

One bounded build beats a platform decision.

Describe the software you need in your own words. ARIA resolves the record model, the systems that have to participate, and what the first working version should cover.