Softment Gig
AI Cost Optimization for LLM Apps
Reduce LLM spend with cost controls and quality safeguards—caching, routing, and retrieval tuning included.
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Softment Gig
AI Cost Optimization for LLM Apps
Reduce LLM spend with cost controls and quality safeguards—caching, routing, and retrieval tuning included.
Best for: production assistants • RAG apps • high-traffic LLM features
Includes: source code + handoff notes + Performance checks
Description
AI Cost Optimization for LLM Apps (Production-ready)
If your LLM bill is growing faster than usage, we can help. We audit token usage, prompts, retrieval, and model choices—then implement practical optimizations like caching, routing, and tighter context to reduce spend while keeping output quality.
Basic
Audit + quick wins
Standard
Implement cost-saving changes
Premium
Routing + evals + observability
What you get
- Cost audit + quick wins report
- Token usage breakdown
- Model/prompt recommendations
- Implement caching + budgets
- Prompt/context trimming pass
- Routing strategy recommendations
- Baseline eval set for quality
- Multi-model routing implementation
What we need from you
- Current LLM usage + API logs (if available)
- Latency and quality constraints
- Current prompt templates and context sources
- Budget targets (monthly/feature)
Packages
Choose the scope that fits
Basic
$300
Timeline: 2-3 days
- Cost audit + quick wins report
- Token usage breakdown
- Model/prompt recommendations
Standard
$900
Timeline: 7-10 days
- Implement caching + budgets
- Prompt/context trimming pass
- Routing strategy recommendations
- Baseline eval set for quality
Premium
$1,800
Timeline: 2-4 weeks
- Multi-model routing implementation
- Observability dashboards + alerts
- Expanded eval coverage + regression checks
- Post-launch optimization roadmap
Explore
Plan your next step
If you need more than a fixed-scope package, these pages help you choose the right approach and scope a safe rollout.
FAQ
Common questions before you buy
Will cost optimization reduce answer quality?
Not if done carefully. We use eval sets and quality checks to validate changes before rollout.
Can you optimize RAG costs too?
Yes. Retrieval tuning, chunking, reranking, and caching can reduce context size and unnecessary calls.
What happens after I place an order?
We review your scope, confirm deliverables, and send kickoff details within 24 hours.
Can I upgrade from Basic to Standard or Premium later?
Yes. You can start with any tier and upgrade when scope expands.
Do you provide source code and handover notes?
Yes. Every package includes source delivery and practical handover context.
How do revisions work?
Revisions are handled within the defined package scope. Out-of-scope requests are quoted separately.
Can you sign an NDA before kickoff?
Yes. We can work under a mutual NDA before project details are shared.
Do you support ongoing maintenance after delivery?
Yes. We can continue with maintenance, enhancements, and support after handoff.
Do package prices include third-party service costs?
No. Any external platform fees are billed directly by those providers.
Can this package be customised for my requirements?
Yes. If your scope is larger, use Talk to us and we will provide a custom estimate.
Need custom scope?
Talk to us before checkout
If your scope is larger than a package, we'll map a custom estimate and timeline.