Software & AI Consulting that gets used.
Practical guidance and hands-on training for teams adopting AI, running it locally, improving their testing, and shipping better software.
Book a conversationHow We Help
AI Implementation
Find where AI actually helps your business, then put it to work. From AI-assisted development to adding LLM features to products and internal workflows.
Local & Private AI Pipelines
Run open-weight models on your own hardware and build them into production data pipelines. No per-request API fees, and your data never leaves your network. See how we do it ↓
Testing & Best Practices
Test strategy and automation that catch problems early, plus code review, workflow, and tooling improvements that help teams ship faster without piling up technical debt.
Corporate Training
Workshops and training programs on AI, testing, and modern development practices, tailored to your team's tools and experience level.
Case Study: Local AI in Production
Our deal sites, including Daily Lax Deals and Daily Coffee Deals, use a locally hosted language model to classify and score every product in the catalog, around the clock.
Thousands of products, constantly changing
Products from many stores need to be categorized and scored as deals every time they appear or change. Sending each one to a paid AI API would mean a recurring bill that grows with every site and every product.
Open-weight model on minimal hardware
An open-weight model runs through Ollama on a single small desktop computer, with no GPU server or cloud instance required. It runs as an always-on service that pulls work from a queue in batches. Scraping and classification are decoupled, so neither slows the other down.
Guardrails and versioning
Rule-based checks correct known model mistakes. Each result is stamped with a version of the prompt, taxonomy, and model, so any improvement automatically re-queues the catalog, newest products first.
Zero per-request AI cost
Continuous classification across multiple sites with no API bills, no rate limits, and no product data sent to a third party. Adding a new site is a configuration change, not a new AI budget.
How Engagements Work
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Assess
We start by understanding your team, your current process, and the outcomes you need.
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Recommend
A clear, prioritized plan with practical next steps, not a shelf-ware report.
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Train & Implement
Hands-on workshops and working sessions alongside your team to put the plan into practice.
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Hand Off
Your team leaves with the skills, documentation, and habits to keep improving on their own.
Who We Work With
Software teams and organizations that want practical results, not hype.
Let's talk about your team
Share a bit about where you are and where you want to go. We'll follow up to set up a conversation.
Email hello@ninthstorylabs.com