AI INTEGRATION & AUTOMATION

AI features that solve real work not demoware.

We ship production-grade LLM features: AI chat, RAG, embeddings, agents, workflow automation. Built on OpenAI, Anthropic Claude and open-source models, engineered for cost, latency and real-user reliability.

  • AI chat & assistants
  • RAG + vector search
  • Workflow automation
  • Cost & latency tuned
Book a Strategy Call
/ 01
10x
Workflow speedups
/ 02
<2s
Avg. AI response
/ 03
Streaming
By default
/ 04
GPT-4 / Claude
Production-grade
5.0

Trusted by 50+ founders · US · UK · UAE · CA

/ The reality

Demo AI is everywhere. Production AI is rare. Ship the rare one.

Anyone can wire an OpenAI key into a Next.js app and call it 'AI-powered'. Production AI, features that survive 1,000 users, don't hallucinate revenue away, stream cleanly, fall back gracefully and don't blow up your API bill, is engineering work. Codev Digital ships that work.

Hallucinations

Your AI assistant cheerfully invents prices, dates and product features. Users notice. Trust dies.

Token bills you can't predict

One viral day spikes your OpenAI bill 80x. No caching, no fallbacks, no budget controls.

Slow & blocking

Users wait 14 seconds for a response with no streaming. They bounce.

Glue code, not architecture

AI feature stitched in as a side feature. No retrieval, no eval, no observability. Brittle.

/ Deliverables

What we ship into your product
AI that works.

Real LLM features, instrumented and reliable. Not a chat bubble glued to a prompt.

AI chat & assistantsRAG & vector searchAgents & workflowsEmbeddings & semantic searchCost & latency engineeringEvals & observability
AI chat & assistantsRAG & vector searchAgents & workflowsEmbeddings & semantic searchCost & latency engineeringEvals & observability
01

AI chat & assistants

Multi-turn assistants with memory, system prompts, function calling and streaming UX. ChatGPT-grade feel.

02

RAG & vector search

Retrieval-augmented generation over your docs, knowledge base or product data. Pinecone, pgvector, Qdrant.

03

Agents & workflows

Multi-step AI agents that complete real tasks, research, drafting, data extraction, triage. Tool use done right.

04

Embeddings & semantic search

Beyond keyword search, find by meaning. Personalised feeds, content recommendation, semantic dedup.

05

Cost & latency engineering

Model routing (GPT-4 → GPT-4o → Haiku), prompt caching, response caching, fallbacks, observability.

06

Evals & observability

We don't just ship, we measure. Eval suites, hallucination tracking, latency dashboards, cost monitoring.

Included in every engagement, no upsells, no surprises.
/ Process

From AI idea to AI feature.
Four phases.

Fixed scope, fixed timeline, no surprises. You get a working build to review every 2–3 days.

01Week 1

AI Strategy

What's the job? What model? What's the eval criteria? We define success before we prompt.

02Week 2

Prototype & Eval

Fast prototype, measure quality on real examples, iterate on prompts, RAG and model choice.

03Week 3–4

Productionise

Streaming, fallbacks, cost controls, caching, error handling, observability, engineering the long tail.

04Ongoing

Monitor & Improve

Eval dashboards, drift monitoring, prompt versioning. AI features need an oncall, we set yours up.

/ Tech stack

AI stack we ship on.
Current.

Frontier models plus the infrastructure they need to be reliable in production.

OpenAI GPT-4 / 4oAnthropic ClaudeLlama 3 / open-sourceLangChain / LlamaIndexPineconepgvectorQdrantVercel AI SDKAnthropic SDKLangSmithHeliconeModal
/ Founder Reviews

Hear it straight
from the founders.

Unscripted, unedited. Real founders, real outcomes, products live, revenue flowing, investors warmer.

5.0 / 5.0· 50+ founders
/ Investment

AI engagement pricing.
Pragmatic.

Pick the engagement that matches your stage, we'll handle the rest.

Spike

Single AI feature, shipped.

$3,9991–2 weeks

Best for: Adding AI to an existing product

  • 1 AI feature (chat, search, classify)
  • Prompt + RAG design
  • Streaming UI
  • Cost & latency tuning
  • Launch + observability
Get Started
Most Popular

Full AI Build

Multiple AI features + eval.

$8,9993–4 weeks

Best for: AI-first product features

  • Up to 3 AI features
  • RAG + embeddings
  • Agents / tool use
  • Eval suite + dashboards
  • Model fallback + caching
  • Production observability
Book Strategy Call

AI Retainer

Continuous AI engineering.

From $4,999/moOngoing

Best for: AI-native startups

  • Dedicated AI engineer
  • Continuous prompt + eval work
  • New AI features monthly
  • Cost optimisation reviews
  • Model migration support
Get Started

Pricing varies by scope. Final quote provided on the strategy call. Payment plans available.

/ AI Integration & Automation FAQ

Honest answers to every question we get.

Still unsure? Book a 30-minute strategy call. No pressure, no pitch deck, just a conversation about your idea.

It depends on the job. We benchmark all major options against your use case (quality, latency, cost, regulatory fit). For most product features GPT-4o or Claude Sonnet wins; for cost-sensitive volume, Haiku or open-source Llama can be 10–50x cheaper. We recommend on the strategy call.
/ Final word

Your idea is worth building.

Book a free 30-minute strategy call. We'll look at your idea, give honest feedback, and show you exactly what your MVP would look like.

No pitch, no pressure · Limited slots each month