Common AI Implementation Mistakes (And How Founders Waste $50K+)

Watch out for these 10 mistakes that cause AI projects to fail. Most cost $10K-50K+ in wasted time and money.

Mistake 1: Using AI for Everything

Not every task needs AI. Classification, summarization, content creation = good fits. Deterministic logic = bad.

Mistake 2: No Cost Monitoring

Surprise $50K bill. Set up monitoring from day 1.

Mistake 3: Picking Wrong Model

Using GPT-4 when GPT-3.5 works. Cost explosion.

Mistake 4: Ignoring Prompt Optimization

Vague prompts = expensive outputs + quality issues.

Mistake 5: No Testing

Deploy untested prompts. Failure in production. Rollback cost.

Mistake 6-10

No SLA definition, ignoring latency, no monitoring alerts, relying on single vendor, not optimizing regularly.