Most AI data leaks happen in the plumbing around the model, so dataflow security means mapping every hop, restricting each one and auditing until the map stays true.
Dataflow Security in AI Pipelines: Map, Restrict, Audit
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AI architecture
RAG vs Fine-Tuning: Which Does Your Use Case Actually Need?
For most businesses the answer is retrieval first: RAG fixes what a model doesn’t know, fine-tuning changes how it behaves, and plenty of use cases need neither.
Axiom’s AI agents formalise the finite simple groups proof in 24 days
Axiom Math says its AxiomProver agents formalised the Classification of Finite Simple Groups in Lean in 24 days and flagged 34 deviations from the published record, but nobody outside the company has rebuilt it yet.
LangGraph vs CrewAI vs Custom: Choosing an Agent Framework
Choose LangGraph for explicit state and control, CrewAI for fast role-based prototypes, and custom code when your agent is one model calling a few tools, but draw the workflow before you pick any of them.
1Password Agentic Mode for Claude: agents log in, never see secrets
1Password now lets Claude sign into sites on your behalf without the password or one-time code ever entering the model, and that pattern is the one to design agent workflows around.
AAIF reaches 10 projects as four labs open-source the agent stack
Anthropic, OpenAI, Hugging Face and Alibaba have each handed a core piece of agent infrastructure to the Agentic AI Foundation, and the layer beneath the model is starting to look like a set of open standards.
Fractional CTO for AI Projects: When It Makes Sense
A fractional CTO for AI earns its fee when your business faces AI decisions that are expensive to reverse but lacks the continuous senior technical work to justify a full-time hire.
LLM Integration: A Complete Guide for Production Systems
LLM integration is mostly about the layers around the model: a gateway, context assembly, validation, evaluation, observability and guardrails. This guide covers how to build each one for production.
AI Readiness Audit: How to Assess Your Software Architecture
A senior-engineer’s guide to running an AI readiness audit on your software architecture: what to inspect, how to score it, and what to fix first.
Integrating Large Language Models (LLMs) into Legacy Enterprise Systems
Put a thin, tested façade in front of the legacy system, decouple model calls with queues, retrieve rather than retrain, and keep people on the consequential writes.
What We Do
Product
Consumer and enterprise software, built with taste and shipped fast.
Infrastructure
AI agents, automation, and orchestration - production systems, not demos.
Advisory
Hands-on engineering and strategy for teams shipping AI into production.