PivotalPoint.io

The AI App Fixing Playbook

Our battle-tested methodology for transforming chaotic AI applications into scalable, profitable products

1

Diagnose

Before fixing anything, we need to understand exactly what's broken. Our comprehensive diagnostic process identifies the root causes of your vibe-coded app's problems, not just the symptoms.

Architecture Audit

  • Map your current system architecture and data flow
  • Identify tight coupling, circular dependencies, and technical debt
  • Document all integrations, APIs, and third-party dependencies
  • Assess code quality, test coverage, and documentation gaps

Performance Analysis

  • Measure response times, throughput, and error rates
  • Identify bottlenecks in processing pipelines and workflows
  • Analyze database query performance and caching effectiveness
  • Monitor resource usage patterns and scaling limitations

Cost Assessment

  • Break down operational costs by feature and usage pattern
  • Identify expensive, redundant, or unnecessary API calls
  • Analyze infrastructure costs and optimization opportunities
  • Calculate cost per user and revenue impact

Diagnostic Deliverable

A comprehensive detailed technical report with prioritized recommendations, cost-benefit analysis, and a roadmap for fixes. You'll know exactly what's wrong and how much it's costing you.

2

Stabilize

Stop the bleeding first. We fix critical bugs, implement proper error handling, and establish reliable AI response patterns so your app works predictably.

Critical Bug Fixes

  • Fix race conditions and concurrency issues
  • Resolve memory leaks and resource management problems
  • Patch security vulnerabilities and data exposure risks
  • Address edge cases causing application crashes

Error Handling & Resilience

  • Implement comprehensive error handling and logging
  • Add circuit breakers for external API dependencies
  • Create fallback mechanisms for AI model failures
  • Establish retry policies with exponential backoff

System Reliability

  • Standardize API responses and validation rules
  • Implement consistent data parsing and format enforcement
  • Add quality checks and filtering across all features
  • Create deterministic fallbacks for edge cases

Stabilization Outcome

Your app stops randomly breaking. Error rates drop by 80%+, and your team can sleep through the night without emergency alerts. Users start trusting your app again.

3

Optimize

Now that it's stable, let's make it efficient. We refactor the architecture, optimize performance bottlenecks, implement intelligent caching, and dramatically reduce your operational costs.

Architecture Refactoring

  • Implement clean architecture with proper separation of concerns
  • Break monoliths into focused, testable modules
  • Introduce dependency injection and inversion of control
  • Establish clear interfaces between external services and business logic

Performance Optimization

  • Implement multi-layer caching strategies (Redis, CDN, application-level)
  • Optimize database queries and add strategic indexes
  • Implement request batching and parallel processing
  • Add compression and response streaming where applicable

Cost Optimization

  • Optimize API usage patterns and reduce unnecessary calls
  • Implement intelligent caching for similar requests
  • Use cost-effective services for simple tasks, premium for complex ones
  • Add request deduplication and result reuse

Optimization Results

Operational costs typically drop 50-70%. Response times improve by 3-5x. Your app handles 10x more users with the same infrastructure. Development velocity increases as the codebase becomes maintainable.

4

Scale

Future-proof your success. We build scalable infrastructure, implement comprehensive monitoring, and enable your team to ship new features confidently and quickly.

Scalable Infrastructure

  • Design auto-scaling architecture for traffic spikes
  • Implement load balancing and geographic distribution
  • Set up CI/CD pipelines for reliable deployments
  • Create staging environments that mirror production

Monitoring & Observability

  • Implement comprehensive logging and metrics collection
  • Set up alerting for performance and cost thresholds
  • Create dashboards for business and technical KPIs
  • Add distributed tracing for complex request flows

Team Enablement

  • Document architecture decisions and coding standards
  • Create development workflows and testing procedures
  • Train your team on the new architecture and tools
  • Establish code review processes and quality gates

Scaling Success

Your team ships features 3x faster with confidence. The app handles growth gracefully. You have full visibility into performance and costs. New team members become productive quickly.

Simple, Clear Pricing

Choose based on your app size. No hidden fees, no surprises.

Small App

Solo founder, <1K users, simple features

$30K
Complete 4-step methodology:
Diagnose → Stabilize → Optimize → Scale
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Most Popular

Medium App

Small team, 1K-10K users, multiple features

$50K
Complete 4-step methodology:
Diagnose → Stabilize → Optimize → Scale
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Large App

Team of 3+, 10K+ users, complex workflows

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Custom pricing for enterprise-level applications
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