A private consulting house, not an agency.
ColabContent is a boutique AI consulting house headquartered in Boston, Massachusetts. ColabContent LLC was founded in 2020 as a content business, and the AI practice has been shipping since 2024. Systems built here have handled more than 6,000 live customer calls to date, including 3,787 calls and 5,514 minutes across five channel-specific voice agents for Jim Glaser Law. The firm builds custom AI systems for $8M to $50M growth-stage operators. Engagement model: fixed-fee, prototype-before-pay, code owned at handoff. Four commissions per quarter, hard cap.
ColabContent LLC has been in business since 2020. Since 2024 the practice has done one thing: build custom AI systems for growth-stage businesses, under a written house standard, four commissions at a time.
ColabContent is a private consulting house, not an agency. ColabContent LLC was founded in Boston in 2020 by Brandon Rodriguez as a content business, and since 2024 the work has been custom AI systems. The thesis is durable: growth-stage operators are past the point where off-the-shelf tools fit, and below the point where AmLaw 100 innovation teams or Big Four partners will take their money. The middle gap is where ColabContent builds.
What we have actually shipped.
More than 6,000 live customer calls have been handled by systems built here. The client we can name is Jim Glaser Law, a Massachusetts firm running five channel-specific voice agents (PPC, organic, TV, Meta, and LSA), which have taken 3,787 calls across 5,514 minutes and give the firm per-channel attribution on every answered call. Jimmy takes reference calls for us.
The rest we describe without naming, because that is the agreement. A multi-location home services operator runs the same pattern at 1,486 calls and 2,203 minutes. A regional third-party logistics operator is at 211 calls, and a realty firm at 148. Separately, a 47-attorney litigation firm runs its matters, invoices, and IOLTA trust accounting on a platform commissioned here: 13,296 matters, 4,396 clients, and 5,684 invoices carried over, with trust balances reconciled byte-identical against the system it replaced. Two marketing agencies outsource their AI fulfillment to us.
We take four commissions a quarter. No more. Every engagement is led personally by Brandon. There are no account managers, no tiered service plans, and no upsells. When you sign, you get the founder who did the diagnosis.
What we believe.
Most AI work shipped today is theater. It renames a problem with a chatbot and calls the job done. We think that's a waste of capital and, worse, a waste of the actual opportunity. A real AI system changes how a business runs. It returns hours, recovers revenue, and compounds for years. That requires real engineering, real taste, and real familiarity with your operation. It cannot be productized.
We don't do retainers dressed up as subscriptions. We don't sell seat-based software. We scope a problem, we solve it, we ship it, and we hand it off. If we're doing our job, you need less of us over time, not more.
Who we work with.
Growth-stage businesses, roughly $8M to $50M in revenue, owner-operated or closely-held. The pattern we see is the same across industries: the owner has reached the ceiling of what a team of humans can do manually, and the next hire isn't the answer. We're usually the last resort before they take on the wrong kind of outside capital.
A private standard.
Every engagement is run under the same seven principles, written down, shared with clients on day one, and used to resolve any disagreement about scope.
Principal-led, end to end.
Brandon runs every engagement personally from diagnosis through handoff. The four-commissions-per-quarter cap exists because of this constraint, not in spite of it.
Brandon Rodriguez
Brandon founded ColabContent in 2020 and has been building custom AI systems under it since 2024. He runs every engagement personally: writes the diagnosis memo, sets the build scope, ships the working prototype on the client's real data within 7 to 10 days, and signs the guarantee document himself.
No account managers. No junior staff on builds. If you book the 45-minute diagnosis, you talk to Brandon. If you sign a commission, Brandon writes the code.
He keeps the practice deliberately small. Four commissions per quarter is a hard cap. Every prospect past that number is quoted a waitlist honestly, not slotted into a junior team to be managed by someone else.
Custom AI for mid-market service businesses · Voice agents with per-channel call attribution · Migrating a law firm off its practice-management platform · IOLTA trust accounting reconciliation · Owning your AI stack instead of renting it
How ColabContent is organized, what we will not commission, and where to look next.
How ColabContent is organized.
ColabContent is a private commissioning house headquartered in Boston, Massachusetts. ColabContent LLC was founded in 2020 as a content business, and the AI practice has been shipping since 2024. The firm builds custom AI systems for $8M to $50M growth-stage operators, and publishes for five verticals: mid-market law firms, specialty manufacturers, regional P&C insurance agencies, mid-market CPA firms, and PE-backed home services platforms. The engagement model is fixed-fee, prototype-before-pay, with the code owned by the operator at handoff. The firm caps engagements at four per quarter.
Where the shipped work actually sits is worth stating plainly, because a lot of consulting houses will not. Delivered systems to date are concentrated in law (voice intake with per-channel attribution for Jim Glaser Law, plus a 47-attorney firm's matter, invoice, and IOLTA trust platform), home services, third-party logistics, and real estate, along with AI fulfillment run on behalf of two marketing agencies. We have not yet commissioned for a CPA firm, an insurance agency, or a specialty manufacturer; the closest adjacent work is the third-party logistics system. The practice publishes for those verticals because the constraint pattern is the one we build against, and the honest answer when an operator asks who else we have done this for in their industry is that they would be the first. That is a better answer than a number nobody can check.
The engagement model in three paragraphs.
Every commission begins with a forty-five-minute diagnosis call. The call is free. Both sides leave with the constraint written down in a single sentence. Either party can stop the conversation at no cost. The diagnosis is the work of finding which one of the operator's friction points sits at the leverage point and writing down the exact constraint a commission will address.
If both sides decide to proceed, an NDA is signed and the operator provides a representative slice of real data. Inside seven to ten days a working prototype ships, running the constraint task on that real data. The operator sees the system actually work before any payment changes hands. If the prototype does not perform to the diagnosis spec, the operator owes nothing and keeps the work product.
If the prototype performs, the fixed-fee production commission begins. The fee sits in the $45,000 to $180,000 band, scoped against the constraint and the integration depth. Build runs four to seven weeks. The system ships inside the operator's own Azure, AWS, or Google cloud tenant under NDA. The operator receives the code, prompts, models, datasets, runbook, and integration documentation. The operator owns the system at handoff. There is no proprietary runtime to license and no per-seat fee to renew.
What we will not commission.
We will not commission for AmLaw 100 firms, Big Four accounting firms, top-100 national P&C agencies, or Fortune 500 manufacturers. Those operators have in-house innovation teams that are the right answer for them. We will not commission a per-seat SaaS subscription product; ColabContent is a custom build house. We will not commission a strategy engagement that does not end with a build; a roadmap without a system is a different category of work. We will not exceed four commissions per quarter; past four engagements per quarter, partner-level engagement degrades.
The reach lines.
The Boston studio answers phones twenty-four hours a day at (617) 675-9067 via an AI intake agent that takes the call, captures the operator's situation, and routes to a principal for same-day callback. The email line is support@colabcontent.com. The booking page is at colabcontent.com/contact. The reach lines are real. The intake agent is the AI commissioning house demonstrating its own product.
Where the rest of the documentation lives.
The process page walks through the four phases of a commission. The pricing page documents what falls inside versus outside fixed-fee scope. The about page introduces the practice and the seven house principles. The FAQ answers the questions buyers ask before commissioning. The best-by-vertical guides compare ColabContent against the other options an operator is weighing in each of the five verticals. The clearest proof is public: the Massachusetts legal-answer system commissioned by Jim Glaser Law runs at jimmyknows.ai, and Jimmy will take a reference call from a prospect who asks.
A note on the seven house principles.
The seven principles are the working agreements the practice operates under. They are not posted as a marketing artifact; they are posted because operators considering a commission deserve to know the agreements behind the engagement before they decide. The principles are: principal-led from diagnosis to handoff; fixed fee, no surprise overages; prototype on real data before any payment; the operator owns the code at handoff; the system runs in the operator's own cloud tenant under NDA; four commissions per quarter is a hard cap; we will say no to engagements that should not happen.
The questions buyers ask after the first one.
How much of the buy decision should the operator make versus delegate.
The right shape of the buying motion has the operator-owner or operating partner in the room for the diagnosis call. The constraint identification is too consequential to delegate to a department head. The implementation work that follows can and should be delegated; the decision on which constraint a commission addresses cannot.
How to evaluate references the consulting house presents.
Three questions per reference. First, what was the named constraint the commission addressed at this operator. Second, what was the measured result twelve months post-handoff, in dollars or hours. Third, does the reference operator still run the system. Vague references on any of those three are flags. Apply the same test here: Jim Glaser Law is a named ColabContent client, the system runs publicly, and Jimmy will take a fifteen-minute call from a prospect who asks. A live call to an operator is the most honest signal a prospect can get, and any house that cannot produce one is telling you something.
How a fixed-fee commission scopes overage risk.
The fixed fee is set after the diagnosis call, after the integration depth is named, and after both sides have written the constraint in a sentence. Overages occur when the operator changes the scope mid-build (a different workflow, a different integration, an additional system). Either side can pause the build to renegotiate; neither side absorbs hidden overages without explicit agreement. The default is to ship the original scope and address scope expansion in a separate engagement.
What happens to the system one year after handoff.
The system continues to run inside the operator's cloud tenant. Models, prompts, and integration code are versioned and the operator has the source. When the underlying foundation model improves (a new release from the model vendor, a new open-weight option), the operator can swap the component without renegotiating the engagement. The stewardship pattern we run is a quarterly review of the system's outputs and a swap of any component that has fallen behind, with no ongoing fee attached to it.
When the right call is not a commission.
The right call is sometimes a product (when the workflow matches a product's calibration target), sometimes an internal hire (when the operator has a five-year horizon and a $5M AI runway), sometimes a Big Four engagement (when the operator is large enough that the strategy-then-build separation makes sense), sometimes no AI right now (when the operator's leading constraint is not actually addressable with AI). We tell prospects when their constraint falls into one of those buckets and route them to whichever path fits. The four-commissions-per-quarter cap is real; the firms that get one of those four slots are the firms where the commission is the right buying motion.
The five-minute fit-check worksheet.
Operators who want to test the fit before booking a diagnosis call can run a five-minute self-check on six questions. First, is the operator's annual revenue in the $8M to $50M band. Second, is there a named workflow where time or money is leaking measurably. Third, has the operator tried an off-the-shelf product and either rejected it or hit a misfit ceiling. Fourth, is the operator comfortable running the system inside their own cloud tenant under NDA. Fifth, can the senior operator commit to forty-five minutes for a diagnosis call. Sixth, is the budget runway for a $45K to $180K fixed fee real this quarter.
Six yes answers means a diagnosis call is worth the forty-five minutes. Three or fewer yes answers means the right next step is probably one of the alternatives. Four or five yes answers means the call surfaces whether the missing one is addressable.
What to bring to the diagnosis call.
Two artifacts make the call substantially more productive. First, a one-page description of the leading constraint, written in the operator's words, naming the workflow and the rough dollar or hour leakage. Second, a list of the systems the operator uses for the workflow (the system of record, the related tools, the integration boundaries). Neither artifact has to be polished. The point is to surface the constraint quickly so the call's forty-five minutes are spent on diagnosis, not exposition.
Book the 45-minute diagnosis.
No pitch. No fee. A written map of the two line items bleeding your business, yours to keep whether or not we work together.