Step 1: Map the opportunity
We find the tasks where automation or AI saves the most time.
AI Automation ExpertsLLM Application Development Services
Chat assistants, copilots and AI features built on leading large language models - designed around your workflow and measured for quality, speed and cost.
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Our clients
Challenges & solutions
Pick the one that sounds like you. Here's how we solve it.
We map the process and automate every repeatable step.
We integrate your apps through APIs, webhooks and automation platforms.
We turn prototypes into reliable agents and apps your team uses daily.
We optimize prompts, models and caching, and track spend per workflow.
How we build
From first workflow to production AI - mapped, built and monitored in five clear stages.
We find the tasks where automation or AI saves the most time.
A working proof of concept on your real data within weeks.
Reliable workflows with error handling, logging and security.
Connected to your CRM, ecommerce, email and internal tools.
Ongoing tuning of accuracy, speed and cost.

Deep expertise
Building with LLMs means choosing the right model, designing prompts and tools, and testing outputs properly. We work across OpenAI, Anthropic, Google and open-source models, and we build evaluation, monitoring and cost controls into every application.
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Client testimonials
Discover how our innovative solutions have transformed businesses, driving measurable success and lasting impact.
Why Bytecode
Crafting exceptional experiences is at the core of what we do. Our team combines creativity, research and industry-leading practices to build products that are intuitive, engaging and results-driven.
We prioritize your users at every stage of the process.
Modern, creative work tailored to your industry and goals.
We work closely with you to align every build with your vision.
From idea to launch and beyond, one team covers it all.
FAQ
Everything you need to know about LLM Applications with Bytecode. Can't find what you're looking for? Our team is one message away.
It depends on quality, speed, cost and privacy needs. We test options on your tasks and recommend one.
Yes - we deploy open models on your own infrastructure when data must stay in-house.
Usually prompting and RAG first. They are faster to build and easier to update. We consider fine-tuning when you need a consistent style, format or specialised behaviour that prompting alone cannot reliably deliver.
We stream responses, choose smaller models for simple steps, cache repeated work and run independent calls in parallel. We also measure latency in production so slow points can be found and improved.
Yes, if it is designed that way. We put a thin abstraction layer between your application and model providers, so switching or mixing models becomes a configuration change rather than a major rewrite.
We log prompts, responses, latency, token usage and user feedback with tracing tools, while masking sensitive data. This lets us spot quality drops, unexpected costs or failures quickly and fix them with evidence.
It depends on your volumes, hosting needs and team. We compare n8n, Make, Zapier and custom code for your case and recommend one.
Yes. We use access controls, self-hosting where needed and providers with no-training data policies.
Yes - we connect agents and workflows to your CRM, ecommerce platform, databases and internal apps.
Most clients see a working prototype within the first few weeks.
Yes - monitoring, fixes and new workflows as your processes change.
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