AI consulting and software for growing businesses

Get unstuck.
Then get ahead.

We find the friction that repeats in how your business works, build practical ways to remove it, and make sure your team can run the result without us.

Work directly with founder Sam Douglas, from the first conversation through the build and handoff.

Good fits Repeated document work. Systems that don't talk to each other. An internal tool that keeps not getting built. A team that's curious about AI and hasn't seen a result yet.

The tools are easy to get.
Where do you start?

You've seen the headlines. You've tried the tools and maybe subscribed to a few. But there's a gap between "playing with AI" and making it work for your business.

We sit with you and your team, find the friction that repeats, build the thing that removes it, and teach you how to run it.

Sound familiar?

The same document gets rebuilt every week. Proposals, intake summaries, reports: someone assembles them by hand from the same sources, every time.

Your systems don't talk to each other. The data lives in three tools, and a person is the integration.

There's an internal tool nobody has time to build. Everyone knows what it would do. It's been on the list for a year.

You're paying for AI tools you barely use. Nobody set them up around your work or showed the team how.

Your team is curious about AI, and curiosity hasn't produced a result yet.

Four ways in.
Each one ends with something you keep.

Pick the one that matches where you are. For each: what we look at, what we need from you, what you hold at the end.

You don't need to choose before you contact us. Describe the problem, and we'll recommend the smallest useful place to start.

DIAGNOSE

Workflow assessment

What we look at
How work moves through your team, the tools you pay for, where the hours go, and where handoffs break.
What you bring
Two or three people who do the work, an hour each, and a look at the tools they use.
What you get
A written shortlist of the problems worth solving, ranked by payoff and effort, with a recommended first build. Short enough to read in one sitting.
Then
Pick one with us, or take the list and run with it yourself.
BUILD

Focused implementation

What we look at
One known workflow: the top of the shortlist, or the recurring task you already named.
What you bring
The people who do that task today, and what a good result looks like to them.
What you get
A working automation or tool, success criteria agreed before we start, and a check against them before we call it done.
Then
A handoff that covers what it does and how to change it. Your team runs it.
TEACH

Team enablement

What we look at
The tasks your team does every week, and the AI tools they already have access to.
What you bring
The team, a half day, and the work they already do this week.
What you get
Hands-on sessions on their own tasks, plus the prompts, checklists, and workflows they build during them. Those stay with you.
Then
They use it the following week. We check in on what stuck.
SHIP

Product or internal tool

What we look at
A new application that still needs discovery: the tool that keeps not getting built, and what has to be true for it to be worth building.
What you bring
The problem, the people who would use it, and someone who can make the call on scope and priorities.
What you get
Discovery that settles the what before the how, a rough version you can react to early, then the build and the unglamorous hardening.
Then
You own the code and know how to extend it. Exec Foundry was built this way.
When we build with you
  1. Tell us how you work
  2. We shortlist what pays off
  3. Start small, then build
  4. Your team owns it

The first conversation

It's free. You describe what keeps repeating, and we ask how the work moves today. You leave with a straight answer on whether we can help and where we would start.

Scope and price

Nothing paid starts without a written scope and price. Work that is already understood gets a fixed price. Discovery and exploration, where the answer isn't known yet, runs in short stages, each priced before it starts, with a point after each where you can stop.

How small a start can be

A single workflow assessment, or one focused fix. A first engagement can be that small.

Problems we turned into working software.

A product we operate and open-source tools we publish. Explore the problems behind them, what we built, and the decisions that shaped the result.

Product we build and operate

Exec Foundry

Job search tools for senior professionals. The system carries the volume. You keep the judgment.

One workflow, before and after: preparing for an interview.

Before
For every interview, the candidate gathers the job description, the company's news and filings, and their own résumé, then writes talking points from scratch. By the fortieth pursuit, the prep is thinner than the first.
After
Exec Foundry assembles the prep and a company brief from the pursuit's record, with every claim footnoted to its source. The candidate reviews it, corrects it, and decides what to say.
Result
Prep starts from a sourced draft instead of a blank page, and the fortieth pursuit gets the same standard as the first. The judgment stays with the person.
One decision
We turned down auto-apply. Sending more applications, faster, was the wrong problem to solve.

The same shape fits a proposal, an intake summary, or a weekly report. The system gathers and drafts. A person reviews and decides.

Open-source tool

ForgeTrail

Recurring problem
Every new AI coding session started from zero and re-fought bugs the last one had already settled.
What we built
Decisions, phase, and lessons kept in the repository, so the next session starts where the last one stopped.
Why it matters to a client
The same habit is how we avoid charging you twice for the same discovery. Decisions get written down where the work lives.
forgetrail.dev →
Open-source tool

Cold-eye

Recurring problem
New AI tools land every week, and most of them make sense to the person who built them, not to the next person who opens them. We wanted a stranger's read on all of them, ours included.
What we built
A review skill that reads a finished artifact and returns a readiness verdict with ranked findings.
Why it matters to a client
Before we hand work to your team, we run this read and fix the findings we agreed on.
coldeye.dev →
Open-source tool

xFacts

Recurring problem
Adopting an app, a tool, or a model meant a source dive to find out what it is built from, what it touches, and what it hides.
What we built
Six compact labels for software, from the app and its features to models and agents, with "undisclosed" as a visible value. A validator checks structure. It does not certify truth.
Why it matters to a client
When we recommend a tool for your business, this is the set of questions we already asked about it.
xfacts.dev →

Dozens of tools on the shelf. See our tools →

You talk to the person
who builds it.

Sam Douglas
Founder, Catalyst Forge

Sam has spent his career building software that didn't exist yet: at Raytheon, Choice Hotels, and Verisign, and as co-founder and founding engineer of Mindcorp. Alongside that, a sixteen-year consultancy serving dozens of small businesses in southern Arizona. In addition to founding Catalyst Forge, he builds and operates Exec Foundry, wrote ForgeTrail and the rest of the shelf, and writes the essays.

On an engagement, Sam does the diagnosis, the build, and the handoff himself. When a project needs more hands, we bring in collaborators, and Sam stays the person you talk to. No sales team, no account managers.

Your business drives the decision

We don't start with what AI can do. We start with what your business needs. If AI is the right answer, we'll tell you. We'll also tell you when it isn't.

You keep control of the result

You own what we build. Before handoff, we agree who handles everyday use, technical upkeep, and future changes, and the handoff covers what each of those takes. Your team may run it entirely on its own. If you want help after that, it's available. It's your choice, not a condition.

Tell us what's repeating.

Tell us what's slowing you down. We'll listen, ask the right questions, and tell you whether AI belongs in the answer.

Or write to us directly: hello@catalystforge.com

What to include

The work that keeps repeating, who does it, and what you've already tried. A paragraph is plenty. Don't clean it up; the mess is usually where the answer is.

What happens next

You get a reply from the person who would do the work, not a sales sequence. If it looks like a fit, the next step is a conversation about how you work. If it doesn't, we'll say so and point you somewhere useful.