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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Software Architecture & AI Project Planner
Tell us what you are trying to build. Get a practical architecture, complexity assessment, indicative investment range, operating-cost considerations and ways to make the solution cheaper, faster or more effective.
Our AI Solution Architect guides you through a structured consultation to understand your requirements, then generates a practical architecture recommendation based on App Corp's engineering experience.
Tell us about the business problem, who experiences it, and what success looks like.
Share your user scale, platform needs, data sources, and integration requirements.
Receive a practical architecture with components, cost ranges, timeline, and risks.
Challenge the recommendation to find cheaper, faster, or more scalable alternatives.
Answer a few questions about your project and get a practical architecture recommendation.
Load Gemma directly in your browser for enhanced architecture reasoning. No data leaves your device.
Tell us about the problem you are trying to solve
Describe the core business challenge
Customers, employees, partners?
Describe the current process
The ideal outcome
Business impact and urgency
App Corp's philosophy is to recommend the simplest reliable architecture. We sometimes recommend NOT using AI, because trust is more valuable than maximizing the estimated project price.
We ask: "Does this actually need AI?" Many problems are better solved with deterministic rules, templates, or simple search.
Launch with core features only. Add complexity based on real user feedback, not assumptions.
Leverage Auth0, Stripe, Resend, PostHog instead of building custom auth, billing, email, and analytics.
Choose smaller models, cache common queries, use local AI where possible, and batch operations.
Not every problem needs AI. Here is when each approach is appropriate.
| Approach | When to Use | Examples | Development Cost | Operating Cost |
|---|---|---|---|---|
| Traditional Software | Deterministic logic, structured data, predictable outputs, simple business rules | CRUD applications, form processing, calculations, reporting | Low to medium | Low |
| Automation / Workflow | Repetitive tasks, rule-based decisions, scheduled operations, simple integrations | Email sequences, data sync, report generation, notifications | Low | Very low |
| AI-Assisted | Natural language understanding, pattern recognition, recommendations, content generation | Document processing, search, chatbots, content drafting | Medium | Medium |
| AI Agent | Autonomous task execution, tool calling, multi-step reasoning, complex workflows | Sales automation, customer support, research, code generation | High | High |
These factors significantly influence the development investment.
Each additional platform adds 40-70% to development cost
AI agents and multi-agent systems are 3-5x more complex than deterministic software
Each integration adds testing, error handling, and maintenance overhead
Complex RBAC and multi-tenancy add significant authorization complexity
HIPAA, SOC 2, PCI add 20-50% for security controls and audit logging
Moving data from legacy systems adds 15-30% to project scope
Enterprise scale requires additional infrastructure and optimization
These factors drive the monthly cost after launch.
$0.01-$0.10 per LLM call depending on model and tokens
Embeddings storage grows with document volume
Compute, database, CDN, and storage scale with usage
Payment processing, email delivery, analytics fees
Error tracking, logging, and alerting services
Customer support tools and personnel
RAG system for searching company documents
AI agent handling common support queries
Automated document ingestion and extraction
Full SaaS with billing, admin, and analytics
Your project idea can be analyzed directly on your device without sending the conversation to a third-party inference API. The AI model is downloaded once from HuggingFace and cached in your browser. After that, all inference runs entirely offline.
Estimate AI agent development and operating costs
Design your AI agent architecture
Estimate RAG system costs
Estimate AI SaaS development costs
Compare LLM pricing across providers
Decide whether to build or buy AI components
The AI Solution Architect provides a practical starting point. For production systems, get a detailed architecture review from an App Corp engineer.