ONE WORKSHOP. FOUR WAYS TO MOVE FORWARD.
THE WORKSHOP / 04 / PRODUCTS & MAD SCIENCE

THE INTELLIGENCE LAB

USEFUL PRODUCTS.
UNREASONABLE
CURIOSITY.

Meet the systems we’re building and the questions we can’t leave alone. Organizational intelligence, durable memory, developer tools, and a few unusual side quests.

REQUEST TWO HOURS ↗

$500 reference · pay what you will afterward · no payment now

AI PRODUCTS / DEVBRIDGE / EXPERIMENTS

YOUR SKILLS. YOUR PROJECT. YOUR NEXT STEP.

WE CAN HELP.

Bring the project already on your disk, the work you want to finish, or the skills you want to build.

TELL US WHAT YOU NEED ↗
  • Learn, train, practice. Build skills and confidence through hands-on work.
  • Finish your projects. Get unstuck and carry unfinished work through to a useful release.
  • Add thorough testing. Build test suites, testing harnesses, and test automation for your projects.
  • Improve the project on your disk. Strengthen architecture, patterns, engineering practices, and security hardening.
  • Train your local AI for your work. Customize prompts, instructions, agents, skills, CLIs, and EDO Flows so your assistant has guidance that fits your project.

CUSTOM BUILDS / A PRACTICAL WAY TO START

YOUR NEXT BUILD.
A PLAN THAT FITS.

Start something new, finish an existing application, or build the next useful capability into your product.

LET’S SCOPE YOUR BUILD ↗

Starting around $5,000

Payment plans available. Let’s turn your first ideas into a working system during our initial conversations. Spend less time on paperwork and mockups, and more time trying the real thing together.

From there, we stay connected with you inside your live build. As you use it, share ideas, request changes, and give feedback in real time, right where it happens. Our team regularly checks in on your builds and works to get useful changes in place quickly.

For some requests, our automation can confidently make the change, run the checks, and redeploy your solution within the hour. For others, our team works with AI to design and implement the best path forward, with care for the details that make your system a delight to use.

With ongoing managed care, we also proactively monitor for security issues, structural problems, and outdated or underperforming AI skills and prompts, then work to keep your system and its AI guidance in shape.

Fully managed AI, with a person who cares. Someone who knows your project, stays involved, and wants to help you succeed.

Software at the speed of a dream. Try it. Shape it. Keep building.

Long-term options, too. Keep building with ongoing development, maintenance, support, or managed operation. Choose a handoff to your team, continued collaboration, or a longer-term partnership.

Final pricing and terms depend on the project. We’ll work through the options with you before work begins.

EXPLORE CUSTOM BUILDS ↗

A SMALL START / YOUR AGENDA

Two hours.
Follow the interesting question.

Bring a strange idea, a recurring AI failure, or a product you want to understand. We’ll explore the mechanics, test an assumption, and see whether the curiosity has a useful next step.

Something to carry forward. A small experiment, a clearer hypothesis, or a product walkthrough, with a personal recap and next steps. Any promised resources follow with it.

NEED A STARTING POINT? EXPLORE SIX POSSIBILITIES

Pick one thread, combine a couple, or bring something completely different. We’ll agree on a useful focus before we meet.

Did the new prompt actually help?

Turn a promising prompt into something you can compare.

Build a small reference set, name the qualities that matter, and compare versions against real failure cases. Explore evaluation and replay before changing a workflow people rely on.

LET’S FOCUS ON THIS ↗

Keep the capability. Change the model.

Explore the boundary between your product and its AI provider.

Walk through versioned instructions, capability names, provider routing, and fallback decisions. Use DevBridge and Alloc Fabric as reference points for your own design.

LET’S FOCUS ON THIS ↗

What should your AI remember?

Useful memory starts with deciding what belongs in it.

Explore retrieval, durable knowledge, working state, freshness, and correction. Choose a small memory or context experiment and a way to tell when it is helping.

LET’S FOCUS ON THIS ↗

Give an agent a job with edges

Make tool use and human approval part of the design.

Define a bounded task, permitted actions, checkpoints, and evidence of completion. Investigate how to keep an agent run understandable when it fails or needs a person.

LET’S FOCUS ON THIS ↗

Pressure-test the odd idea

The idea can be rough. The experiment should be specific.

Find the assumption that would make the idea worth pursuing, then sketch or try the smallest useful experiment. Keep the learning even if the original idea changes.

LET’S FOCUS ON THIS ↗

Take a guided tour of the workbench

Look inside a reference project with your own problem in mind.

Choose a project, inspect the architectural ideas and current state, and discuss what might transfer to your environment. Product availability and larger adaptation work are scoped separately.

LET’S FOCUS ON THIS ↗

Two hours gives us room for a focused review, practice, experiment, or bounded piece of work. Larger implementations, formal security audits, and ongoing support are scoped separately. Before we start, we’ll agree on confidentiality; recording or AI transcription requires your permission.

CONNECTED WORK / DIFFERENT DOOR

Keep exploring the workshop.

NEXT / 01Coaching →