Your AI spend is
leaking money.
I find it. You keep it.
I audit AI infrastructure for companies spending $50K+/month and get paid a share of what I save you — so my incentives are perfectly aligned with yours. No savings, no fee.
AI costs compound fast.
Most teams don't notice until it hurts.
The teams I work with aren't doing anything wrong — they're just missing patterns that are nearly invisible from inside the codebase.
Redundant context on every call
Sending the same system prompt, docs, or user history on every request when caching or compression would cost 90% less.
Wrong model for the job
GPT-4o or Claude Opus handling tasks that a fine-tuned small model or Claude Haiku would nail at 1/20th the price.
No batching or async pipeline
Synchronous, single-shot calls where async batching would cut latency and cut costs simultaneously.
Architecture that didn't scale
What worked at 1K calls/day breaks at 1M. Retrieval, embedding, and routing layers that made sense early become cost sinkholes.
No token observability
You know your invoice total but not which endpoints, features, or users are driving 80% of your spend.
Security gaps in the AI layer
Prompt injection surface, unconstrained agent loops, and data leakage vectors that most security audits miss entirely.
What I do
End-to-end AI consulting from strategy to implementation — wherever your team needs the most leverage.
Cost & Efficiency Audit
Deep analysis of your token usage, model selection, prompt architecture, caching gaps, and vendor contracts. Delivered as a ranked savings roadmap.
AI Architecture Review
Evaluate your retrieval pipelines, agent designs, context management, and scalability patterns. Identify what breaks at 10x current load.
Performance Optimization
Latency reduction, throughput improvements, prompt compression, model routing, and caching layers — with measurable before/after benchmarks.
AI Security Assessment
Prompt injection, data exfiltration risks, agent loop vulnerabilities, PII exposure, and model supply chain risks — reviewed against current threat models.
Team Training & Upskilling
Hands-on workshops tailored to your stack: prompt engineering, LLM APIs, RAG patterns, agent design, evaluation frameworks, and cost management culture.
AI Strategy & Roadmap
Build-vs-buy decisions, vendor evaluation, capability sequencing, and a 6–12 month roadmap your engineering and product teams can actually execute.
How the savings model works
Inspired by how cloud consultancies operate: I take a percentage of what I save you, so there's no risk for you to get started.
Intro Call
30 minutes to understand your stack, spend, and goals. I'll tell you honestly if I can help.
Audit
2–4 week deep dive into your codebase, usage data, invoices, and architecture. No changes yet.
Roadmap
Prioritized list of changes with projected savings per item. You decide what to implement.
Implementation
I work alongside your team to ship the changes, with full documentation and handoff.
Measure & Share
30/60/90-day savings verified against baseline. You keep ~75%. I take ~25%.
Start with a 30-minute call
A focused session to diagnose your AI infrastructure, identify the biggest savings opportunities, and decide on next steps.
AI Architecture & Cost Audit
Bring your stack details, invoices, and pain points. I'll give you an honest assessment of what's possible — and whether deeper engagement makes sense.
- ✓ Structured diagnostic session
- ✓ Written summary & top 3 opportunities
- ✓ Honest assessment — I'll say if I can't help
- ✓ No commitment required
Instant confirmation. Schedule after booking.
What kind of savings are we talking about?
Here's a real-world scenario based on typical outcomes. Your numbers will vary — this is why we start with a diagnostic call.
Hi, I'm Dan Levy
I'm a software engineer and architect who has spent the last several years embedded in AI infrastructure — building, scaling, and auditing LLM-powered systems across fintech, developer tooling, and enterprise SaaS.
I've seen what happens when AI costs get out of control, and I've built the frameworks to fix it. I write about AI architecture and engineering at danlevy.net and work directly with a small number of companies each year.
I'm not a large consultancy. You get me — reviewing your code, talking to your engineers, and doing the work. That's a feature, not a limitation.
Ready to stop the leak?
Book the call.
30 minutes. $300. You'll leave with a clear picture of what's possible — or an honest answer that I'm not the right fit. Either way, you win.
Book 30-Min Call — $300 →
