Agent-first software design and engineering.

We design agent products and build the LLM agents inside them. We work forward-deployed with your teams and customers, inside the systems where the product has to hold up.

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The Signal Field A live line field visualizing a continuous cycle of making, observing, and revising. The field changes when Product, Promise, or Practice receives focus.

Work inside
the system.

What is forward-deployed design engineering?

Forward-deployed means working where the product will be used: with your teams and customers, inside the systems and constraints that decide whether it works.

What does Information Logistics do?

We design agent products and build the LLM agents inside them. Product design, branding systems, deployment, and enablement are part of the same job.

When should a team bring Information Logistics in?

Bring us in when the problem is still unclear or a promising prototype is stuck between functions on its way to production.

What does an engagement leave behind?

Working software, plus the evaluations, controls, documentation, and operating workflows your team needs to run it.

LOG 101

Product

Define the uncertain part. Make it real, useful, and measurable.

  1. 101.1
    Product design & design engineering

    Research, interaction design, prototyping, and production engineering happen in the same loop.

  2. 101.2
    Agent-first software design & engineering

    We design agent products and build LLM agents. That includes the agent's behavior and tools, how people supervise it, how it is evaluated, and the interface used to operate it.

  3. 101.3
    Evaluation & operating controls

    We make agent behavior inspectable. Traces and scorecards show what happened; controls handle exceptions, risk, and revision.

LOG 202

Promise

Make the product legible and solve a real problem.

  1. 202.1
    Brand systems & product narrative

    Positioning and identity start with what the product actually does and how people use it.

  2. 202.2
    Customer-facing teams

    We work with marketing, sales, revenue operations, service, and support on product storytelling, workflows, and customer-facing systems.

  3. 202.3
    Content pipelines

    As the product changes, its claims and content need to change with it. We build the workflows that keep them in sync.

LOG 303

Practice

We leave your team with systems they can operate and extend.

  1. 303.1
    Production pipelines

    We build the delivery, content, and evaluation pipelines behind product, brand, customer-facing work, and LLM operations.

  2. 303.2
    LLM-first ways of working

    We teach teams how to evaluate LLM output, observe failures, make judgment calls, and write operating rules for daily use.

  3. 303.3
    Documentation & enablement

    We document the work and teach your team how to run and change it.

Make. Observe. Revise.

We build learning into delivery.

  1. LOG 311 Make

    We work alongside the people doing the job. We prototype in design and code against the real workflow. Human judgment stays visible.

  2. LOG 312 Observe

    We instrument actual use: outcomes, exceptions, handoffs, and risk.

  3. LOG 313 Revise

    What we learn changes the model, interface, operating rules, and documentation.

LOG 404

Verified background

20 years across product design, cloud platforms, and secure digital engineering.

20

Years

Product design and engineering leadership across British Telecom R&D, Amazon Web Services, Oracle Cloud, and secure digital engineering for the Department of War.

Forward-deployed delivery

We start with discovery and technical scoping, then stay through design, production engineering, deployment, and hands-on teaching.

LOG 500 / OPEN CHANNEL

95% of Generative-AI pilots fail to produce measurable financial impact.

Book 30 minutes to find out why.

Bring the agent, workflow, or product that is blocked.

Source: MIT NANDA, The GenAI Divide, preliminary findings, July 2025
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