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Custom app development consulting means translating business problems into technical specifications, partnering with the right developers for implementation, and overseeing architecture and delivery — so you get a working, well-scoped build without paying a senior consultant's rate for every commit.
Every business eventually runs into the edges of off-the-shelf software. The reporting tool that almost does what you need. The automation platform that covers 80% of your workflow. The SaaS you've outgrown.
When it's time to build something custom — an internal tool, a customer-facing app, an AI-powered workflow — you want someone in the room who understands both the business problem and the technical reality. That's my role.
I ship production software myself. Campaign Budget Optimizer — my AI-native cross-platform paid media tool — launches May 2026. I built it solo using AI coding tools and have firsthand, recent experience with modern dev workflows, LLM integration, and SaaS infrastructure.
But for most client app work, you don't need me writing every line of code. You need someone who:
That's the role I take.
I don't write production code for clients myself — my time is better spent on oversight and the marketing work that only I can do. If the project is small enough that one developer can handle it end-to-end, I'll recommend that person and stay involved in review only. For larger builds I bring in a trusted team.
Tell me what you want to build → — I'll tell you whether it's scoped right, whether it's the right path, and what it would actually cost.
Yes, through a partner model. I scope the build and oversee architecture and QA; trusted development partners handle the code. The goal is senior oversight on technical decisions and honest timelines without locking you into my hourly rate for every line of code.
Most common requests: internal tools and dashboards, customer-facing portals and calculators, AI-powered workflows and internal agents, integration and middleware between disconnected systems, and marketing technology builds (attribution tools, budget optimization, lead routing). If it's software, and it touches marketing or operations, it's in scope.
I ship production software myself — Campaign Budget Optimizer is my AI-native paid media tool launching May 2026 — so I understand modern development workflows, LLM integration, and SaaS infrastructure firsthand. But for most client builds, you don't need me writing every line of code. You need someone who can scope it right, spot bad architecture early, and keep the developers accountable. That's the value of the oversight role.
Yes, that's one of the most common engagement types right now. I've been building AI-native tools since early 2025 and work with LLMs daily. The engagement typically covers architecture decisions, prompt and workflow design, integration strategy with existing systems, and oversight of implementation.
Pricing depends on scope, complexity, and which partner handles the build. Simple internal tools start around $10K–$25K. Complex builds with AI components or multiple integrations run $30K–$100K+. Every project starts with a scoping phase — no development starts before a realistic cost estimate is agreed.
Hourly billing misaligns incentives — slower developers cost more, and scope creep is harder to control. Fixed-scope engagements with clear deliverables and timelines are better for the client. The scoping phase exists to define scope tightly enough that fixed pricing works.