LogOdds Labs AEOS
Engineering Knowledge Fabric

Software engineering has knowledge.
AI needs it.

Most AI tools generate code from a prompt and forget everything when the session ends. AEOS turns your organisation's standards, workflows, templates, and patterns into a connected fabric that both AI agents and engineers draw from — every time, automatically.

Request Early Access → See How It Works
Deterministic same task, same prompt
Knowledge-First standards · templates · workflows
Cost-Aware the right model tier
The Challenge

AI can generate code. Engineering requires knowledge.

Software engineering depends on architecture, standards, governance, and workflows accumulated over years — most of it locked in wikis, scattered documents, and the heads of senior engineers.

Without that context, AI produces answers instead of engineered solutions, and every session starts from zero: re-explaining architecture, re-pasting standards, re-deriving what a "good PRD" or "good ADR" looks like.

Coding is one part of engineering. Knowledge is the rest.

AEOS is that missing layer.

Today
  • Standards fragmented across wikis and docs
  • Every AI session starts from zero
  • Re-explaining architecture, every time
  • No shared definition of "good"
  • Knowledge trapped in senior engineers' heads
With AEOS
  • One connected Engineering Knowledge Fabric
  • Context assembled automatically, before the call
  • Deterministic — same task, same prompt
  • Every task on the right-cost model tier
  • Knowledge reused, not rediscovered
The Platform

Not a document store. Not similarity search. A connected fabric.

Think of it as a digital engineering library with a brain. Instead of just storing documents, AEOS understands how engineering knowledge is connected and delivers the right knowledge to the right person or AI agent at the right time.

An AI agent and engineering team connected through a fabric of standards, workflows, templates, patterns, and project context.

Connected Knowledge

Templates, workflows, standards, blueprints, and project context — related to each other, not scattered as isolated files.

Deterministic Context

Same task, same workflow, same phase, same agent role — same prompt, every time. Not a probabilistic guess.

Model-Tier Routing

Architecture and ethics decisions to the deepest-reasoning tier. Execution to a mid tier. High-volume output to the cheapest tier that still holds quality.

Built for Humans and AI

The same Fabric serves an engineer opening a template and an AI agent assembling a PRD. One source, two audiences.

The Context Engine

Every prompt is assembled, not improvised.

Request An engineer or agent asks for a PRD, ADR, or any engineering artifact.
Read Context ACE reads the request — workflow, phase, and agent role behind it.
Assemble Fabric Loads the workflow, templates, standards, examples, and best practices this task needs.
Build Context Deterministic — same inputs, same prompt, every time.
Route Model Tier Routed to the correctly-costed model tier for the task's actual complexity.
Deliver A grounded, engineered output — PRD, ADR, code, or artifact. Not a guess.

Without the Fabric, the model only has a prompt. With the Fabric, it has engineering intelligence — assembled before the model is ever called, not discovered mid-conversation.

Proof Points

Knowledge-first, and built to be measured.

158Templates

Template Library

A structured template library spanning PRDs, ADRs, testing checklists, and more — reused, not rebuilt per project.

13Categories

Knowledge Categories

Standards, patterns, blueprints, playbooks, and policies — organised so the right one is found, not searched for.

10Workflows

Spec-Driven Workflows

Gated delivery phases from idea to shipped artifact — each phase governed, each gate owned by a human.

4Model Tiers

Model-Tier Routing

Every task costed and routed to the tier its complexity actually warrants — not the most expensive model by default.

Deterministic Context

Same task, same workflow phase, same agent role → same assembled prompt, every time. No context drift between runs.

Human + AI Collaboration

AEOS assembles context and routes the task. Humans still own gates, architecture decisions, and sign-off.

The Analogy

Think of a hospital, not a library.

A hospital has medical books, treatment protocols, drug guidelines, and patient history — far more than any one doctor can hold in their head. A doctor doesn't want to search all of it. They want the right information for the patient in front of them, assembled by the hospital's knowledge system.

The Fabric doesn't hand an engineer or an AI agent a library — it hands them exactly what the task in front of them needs.
Who It's For

Built for the people who own engineering outcomes.

CTOs & Engineering Leaders

Organisation-wide standards enforced automatically at the point of use — not by memo, and not by hoping engineers remember.

Platform Engineering Teams

Golden paths, templates, and patterns engineers actually reuse — because the Fabric hands them over at the right moment, not buried in a wiki.

AI Transformation Programs

Give every AI agent the same engineering context a senior engineer would bring to the task — consistently, across every team.

Partner With Us

Every product we build
runs on AEOS.

AEOS is the engineering foundation behind every LogOdds Labs product — the same standards, the same discipline, on every build. If you're building an application or platform for your organisation, we build it on AEOS for you.

Contact the Team