Built a ai saas with Base44?
We'll make it production-ready.
AI SaaS products add a unique layer of complexity on top of standard SaaS challenges — you're building a paid product on top of third-party AI APIs that are expensive, unpredictable, and rate-limited. Your margins depend on controlling API costs, your reliability depends on handling upstream failures, and your differentiation depends on prompt engineering and workflow design that AI coding tools can't optimize for you.
AI SaaS challenges in Base44 apps
Building a ai saas with Base44 is a great start — but these challenges need attention before launch.
Cost management and unit economics
Every user action costs you real money in API calls. If a user generates 100 requests a day and each costs $0.05, that's $5/day per user — $150/month. Without token tracking, usage tiers, and cost optimization, your AI SaaS can lose money on every customer.
Upstream API reliability
OpenAI and Anthropic APIs have outages, rate limits, and variable latency. Your SaaS needs fallback providers, retry logic with exponential backoff, request queuing, and graceful degradation. AI tools build direct API calls with no resilience — one upstream outage takes your entire product down.
Prompt management and versioning
Your prompts are your product's core IP. AI tools hardcode prompts in the source code. You need a prompt management system with versioning, A/B testing capability, and the ability to update prompts without deploying code. A bad prompt update shouldn't require a rollback of your entire application.
Output quality and consistency
AI responses vary in quality, format, and accuracy. Your paying customers expect consistent output. You need output validation, structured output parsing, retry logic for poor responses, and quality monitoring. One hallucinated response in a customer-facing context can destroy trust.
Usage-based billing
AI SaaS products typically need usage-based or credit-based pricing rather than flat monthly fees. Tracking usage accurately, enforcing limits in real-time, and integrating metered billing with Stripe requires careful implementation that AI tools don't provide.
Data privacy with AI providers
Your customers' data is being sent to third-party AI APIs. You need clear data processing agreements, the option to use providers that don't train on your data, and compliance with privacy regulations. Enterprise customers will specifically ask how their data is handled.
What we check in your Base44 ai saas
Common Base44 issues we fix
Beyond ai saas-specific issues, these are Base44 patterns we commonly fix.
Platform lock-in makes it expensive to migrate to self-hosted infrastructure
Base44 applications run on Base44's infrastructure with proprietary abstractions. If you need to migrate to AWS, Vercel, or a custom backend, you must substantially rewrite the application since the generated code is tightly coupled to Base44's runtime.
Auto-generated backend API lacks input validation and allows malformed data into the database
Base44's generated REST API endpoints often accept and persist any data that matches the field type without business-rule validation — missing required fields, out-of-range values, or invalid relationships are stored without error.
Limited customization of business logic after the initial app generation
Once Base44 generates the application structure, adding custom business logic that deviates from the generated patterns — complex workflows, conditional processing, third-party integrations — requires working around the platform rather than with it.
Database schema changes after initial generation are difficult and risk data loss
Modifying the generated database schema after data has been collected — adding columns, changing relationships, renaming tables — is fragile in Base44 and may require manual data migration that the platform does not assist with.
Start with a self-serve audit
Get a professional review of your Base44 ai saas at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
Frequently asked questions
Can I build a ai saas with Base44?
Base44 is a great starting point for a ai saas. It handles the initial scaffolding well, but ai saas apps have specific requirements — cost management and unit economics and upstream api reliability — that need professional attention before launch.
What issues does Base44 leave in ai saas apps?
Common issues include: platform lock-in makes it expensive to migrate to self-hosted infrastructure, auto-generated backend api lacks input validation and allows malformed data into the database, limited customization of business logic after the initial app generation. For a ai saas specifically, these issues are compounded by the need for cost management and unit economics.
How do I make my Base44 ai saas production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Base44-built ai saas apps, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Base44-built ai saas?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger ai saas projects, we provide a custom fixed quote after the audit — no hourly billing.
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Get your Base44 ai saas production-ready
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