Prompt: Stop Building SaaS. Build This Instead

PromptResource

A structured prompt designed to help professionals and developers uncover profitable AI-assisted service business ideas. Instead of building full SaaS platforms, it focuses on creating internal tools that automate 70 to 90 per cent of client delivery.

Key points

  1. Focus on productised services: Custom internal AI tools (built with Cursor, Claude Code, or similar) automate the majority of delivery.
  2. Strict evaluation criteria: Ideas must address existing painful problems, be repeatable, support pricing of $500–$5,000 per month, and enable acquiring a first client within 30 days.
  3. Structured background profile: Prompts the user to detail career history, core skills, industry knowledge, and familiar software tools.
  4. Value proposition against generic AI: Each idea requires an explanation of why the offer outperforms clients running generic tools like ChatGPT on their own.

Why it matters

Many founders struggle with the distribution and overhead of standalone SaaS products. This framework pivots towards service-as-a-software, leveraging existing domain expertise combined with low-barrier internal automation.

Analysis

The prompt relies heavily on constraint-based prompting and structured outputs. It outlines a clear objective, asks for structured user inputs (experience, skills, industries), and enforces six specific boundaries on viability, pricing, and execution speed. It also enforces a fixed schema for every generated idea, ensuring details like pricing, tooling, and acquisition strategy are systematically covered. While it does not employ few-shot examples or explicit chain-of-thought instructions, its strength lies in domain grounding and rigid format enforcement. It directly benefits consultants, freelancers, and engineers looking to productise their skills without launching public software products.

Prompt

I want to identify a profitable AI-enabled service business I can start based on my existing skills and experience. This business should use custom-built AI tools (built with Claude Code, Cursor, or similar) to handle 70-90% of the delivery, with me providing expertise, quality control, and client relationships.

Here's my background:
- Professional experience: [list your jobs, roles, industries]
- Skills I'm confident in: [list hard and soft skills]
- Industries I understand well: [list industries you've worked in or around]
- Things people ask me for help with: [what do friends/colleagues come to you for?]
- Topics I could talk about for 30 minutes without prep: [list them]
- Tools and software I'm comfortable with: [list them]

Based on this, suggest 10 AI-enabled service business ideas that meet 
ALL of these criteria:

1. The service addresses a painful, recurring problem businesses actually pay to solve today (not a nice-to-have)
2. I could build a simple app or tool (using Claude Code or Cursor) that automates 70-90% of the delivery work — not a full SaaS product, just an internal tool that powers my service
3. My existing knowledge is enough to quality-check and improve the tool's outputs — I don't need a new degree or certification
4. Each client could realistically pay $500-5,000/month
5. I could land my first paying client within 30 days
6. The work is repeatable — similar process for each client, not completely custom every time

For each idea, tell me:
- The service in one sentence
- Who the ideal client is (be specific — industry, company size, role)
- What tool I'd build to power the delivery (describe it simply)
- What the tool handles vs. what I handle personally
- Realistic monthly pricing
- How I'd find my first 3 clients
- Why this is better than the client just using ChatGPT themselves

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

Similar in content, found by the AI search.

  • Video

    Video:Greg Isenberg

    Agent SaaS Playbook: Why AI Agents Are Replacing Traditional Software

    Greg Isenberg outlines why building AI agents is becoming the successor to traditional SaaS. Rather than offering tools to help humans work, Agent SaaS sells the completion of the job itself, directly targeting the labor market. Using industry examples such as Slang.ai and Sameday, he lays out a step-by-step framework covering workflow selection, shadowing operators, defining the minimal useful agent, and launching within a 30-day timeline.

    AI & LLMs· Opinion

  • Prompt:admin

    AI Website Analyzer & Lead Gen Platform

    A detailed system prompt outlines the full specification for an automated website audit lead generation platform. Built on Next.js, the Vercel AI SDK, and Resend, the system runs technical site reviews, generates dual-audience PDF reports, and enforces a strict monthly API budget cap.

    AI & LLMs· Resource

  • Prompt:admin

    Wirtschaftlichkeitsberechnung und Projektkalkulation.

    A system prompt directs an LLM acting as an IT business analyst and cloud architect to create a six-year financial feasibility study for a central AI analytics platform in Austrian public administration.

    AI & LLMs· Resource

  • Link:Chris Ashby

    Product Studio: Mentoring Framework for AI Builders by Chris Ashby

    Chris Ashby offers the Product Studio, an advisory and support programme for domain experts building software with AI. Centred around the four-phase Product OS framework, it aims to take half-built applications to paying customers.

    AI & LLMs· Resource

  • Link:Alex Sprogis

    AI Engineering Accelerator: Systematic SaaS Development with Claude Code

    Alex Sprogis's AI Engineering Accelerator is a training course and pre-configured framework (AI Engineering Kit) designed to help founders and product teams build production-ready SaaS applications using Claude Code without manual coding.

    AI & LLMs· Resource

Let's talk about your project

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.