Fast first proof
We do not sell a strategy fog. The first usable artifact lands fast enough to judge.
We build AI surfaces, agent workflows, and operator-grade product systems with visible receipts: fixed diagnosis, scoped deploy, post-launch evals, and no demo theatre.
6 receipts · 2–6w build cycles · post-launch evals

Live P&L
Product margin console

Trust flow
Guardian-led surface

Cohort ops
Training command center
Howe shows finished beauty. SirVibez shows the clock, the stack, and the work that moved this week.
Full ship log →The best AI work has a visible first step, a bounded build cycle, and a maintenance plan. Diagnose · Deploy · Defend is the offer architecture.
A one-week operator audit. We map the workflow, identify the real buyer pain, test where AI belongs, and return with the build memo: what to ship, what to kill, and what should stay human.
Includes
→ By end of week 1, you have a decision memo your team can act on.
The build sprint. Agents, retrieval, evals, admin surfaces, brand, and the actual user-facing product. We ship into your stack, with the boring launch pieces handled.
Includes
→ A working AI surface in your stack within 6 weeks. Real users, real evals, real handoff.
After launch, the system has to keep behaving. We maintain eval suites, version choices, model migrations, and drift checks so the thing still works in month six.
Includes
→ The system keeps improving after launch instead of slowly rotting.
Bigger scope? Multi-month transformation? We'll write you a custom statement of work.
SirVibez is not a general creative shop. The strongest work is where product behavior, brand trust, and operational impact have to land together.
AI-native SaaS
Founders turning model behavior into product behavior: onboarding, copilots, retrieval, permissions, feedback, and billing.
Good fit: product already has a buyer
Operator-led teams
Teams where the buyer owns a number: margin, cycle time, conversion, retention, support load, or weekly hours saved.
Good fit: one accountable owner
Post-prompt B2B
Internal tools, workflow agents, knowledge systems, and decision surfaces where AI must behave predictably.
Good fit: messy workflow, clear stakes
2026 / index

SaaS · Profitability
Prokolpo / Resup
A profitability surface for agency operators: live data, margin visibility, and fewer spreadsheet rituals.

Trust · Matrimonial
Sakinah
A guardian-led trust product where restraint, privacy, and cultural precision matter more than volume.

Education · KSA
GCCP
A training platform for Gulf practitioners: curriculum, onboarding, admin tooling, and student operations.
proof capture
next slot
Open sprint
01
Open slot · Q3 2026
Your project here
The first paid AI engagement we can name goes here. Until then, the gap stays visible.
You write. We read it personally.
Week 1. Memo your team can execute on.
Weeks 2-6. Production, not prototypes.
Ongoing. Evals, fixes, the boring part that compounds.
The agencies who win the next decade won't be the ones with the prettiest decks.
They'll be the ones who shipped: production AI, real evals, and the boring workflows nobody wanted to touch.
Warm enough to read. Sharp enough to filter. The point is not to sound like an agency; the point is to show how the work behaves.
We do not sell a strategy fog. The first usable artifact lands fast enough to judge.
Fixed diagnosis, scoped deploy, visible retainer. No hourly mystery.
The offer has rails, but the work still respects the buyer, workflow, and stack.
Models, prompts, evals, retrieval, and failure modes are part of the handoff.
Case pages show stack, status, scope, and what shipped. Empty bragging gets cut.
Velocity is not a tagline. It shows up in cycles, dates, and response windows.
Brand, interface, and system behavior move together. No handoff theatre.
Founder-led work with a single operator mind on the brief, scope, and delivery.
Defend exists because model behavior drifts, vendors change, and workflows mutate.
The answer is not 'the demo worked.' The answer is whether the system keeps working.
Brief, decision, and launch path stay tight. No committee choreography.
The work has to look sharp and survive contact with the back office.
Fozley Rabbi
Founder · Principal
“The agencies who win the next decade won't be the ones with the prettiest decks. They'll be the ones who shipped — product behavior, real evals, and the boring back-office workflows nobody wanted to touch. SirVibez exists for that work.”
Tell us the workflow, the buyer, the current stack, and what breaks when it scales. We'll come back inside 48 hours with a no, a question, or a path.
Our typical ship cycle is 14 days from kickoff. Diagnose runs 1-2 weeks, Deploy 4-6 weeks, Defend 8-12 weeks. We hit the date or you do not pay the milestone.