Custom AI Built for Production
Most "AI features" never leave staging. We ship the ones that do. RAG-powered internal copilots, customer-facing AI in your product, evaluation harnesses, and the infra to run it all reliably. Built by engineers who know that LLMs are 30% of the work and the other 70% is everything around them.
- RAG systems
- Internal copilots
- Product-facing AI features
- Eval harnesses
- Fine-tuning + distillation
+ 3 more below
The full deliverables list.
- 01
RAG systems
Production-grade retrieval over your docs, code, tickets, recordings, or anywhere your knowledge lives.
- 02
Internal copilots
Slack-, web-, or IDE-based assistants for your sales, support, ops, or engineering teams.
- 03
Product-facing AI features
AI search, summarization, generation, and agents inside your SaaS product — without rewriting your stack.
- 04
Eval harnesses
The boring infrastructure that lets you swap models, change prompts, and know whether things got better.
- 05
Fine-tuning + distillation
When prompt engineering hits a wall, we fine-tune. Or distill into smaller models that are cheap to serve at scale.
- 06
Voice + multimodal
Phone agents, voice notes, image and document parsing. Whisper, Vapi, ElevenLabs, Claude vision.
- 07
Observability & guardrails
Tracing, prompt versioning, PII scrubbing, jailbreak monitoring. Things your security team will ask about.
- 08
Cost optimization
Caching, routing, model tiering. We typically cut LLM spend 40–70% within a month of taking over an existing system.
If any of these feel familiar, we should talk.
Head of Product · seed → Series B SaaS
“You committed to an AI feature on the roadmap. Your engineering team is buried.”
- Ship the AI feature on the roadmap this quarter
- No team rebuild required — we slot into your sprint
- Production-grade, not demo-grade
CTO / VP Eng
“You need AI capability, but hiring senior LLM engineers takes 6+ months.”
- Senior engineering on a project basis
- Build the system; train your team to maintain it
- Right-size models, infra, and guardrails
Internal tools owner
“Your team needs a copilot for sales, support, or ops — yesterday.”
- RAG over your internal docs and data
- Slack-, web-, or IDE-based delivery
- SOC 2 / HIPAA-conscious deployment
From kickoff to live in weeks.
- 01. Week 1
Discovery + spike
Scope, success metrics, evaluation criteria. We build a 1-day spike to prove the hardest unknown before we commit.
- 02. Weeks 2–3
Core build
RAG pipeline, model routing, prompts, infra. Daily commits to a private repo you own.
- 03. Week 4
Eval + harden
Test set, golden examples, regression eval. Guardrails for safety, PII, jailbreaks. Cost controls.
- 04. Week 5+
Ship + support
Production rollout with monitoring. 30 days of post-launch optimization included. Then training, handoff, or retainer.
Best-in-class. No vendor-lock religion.
We pick what fits — your stack, your scale, your risk profile. No resale kickbacks, no preferred vendors, no tools we'd never use ourselves.
- Claude
- OpenAI
- LangChain
- LangGraph
- LlamaIndex
- Pinecone
- Supabase
- Cloudflare Workers
- Vercel
- Postgres
- Vapi
- ElevenLabs
Real numbers from real engagements.
Aggregated from anonymized client engagements. Real cases require an NDA — we share specifics on call.
Custom AI Development — common questions.
Related services and playbooks.
AI Agents
Autonomous agents that handle real work — sales outreach, customer support, research, and ops. Hire one. Hire ten.
AI Workflows & Automation
n8n, Make, Zapier, and custom-coded pipelines. We connect your stack so the right thing happens at the right time, every time.
Free playbookThe AI Agent Starter Kit
Build your first revenue-generating AI agent in a weekend
Free playbookThe Prompt Library for Operators
75 production-tested prompts for sales, marketing, and ops
Ready to ship custom ai development?
Book a free 30-minute strategy call. We'll map your highest-ROI opportunity in this service and tell you whether Byte Dreams is the right fit.
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