Custom AI implementations for real workflows

We turn how your best people work into skills your agents can load, then put those agents into production on the systems you already use.

See offersHow it works

No free scoping · First production workflow in weeks

Marketplace

Self-serve skills, strategies, and blueprints. Search, buy, run leverbrain get, and load them into your agent runtime.

Browse skills

Business

Custom implementations. We extract your expertise, build skill systems, and deploy production agents on your stack.

Paid offers

The problem

Most AI projects never leave the pilot stage

The models are good enough. Process is the hard part. Generic tools fail because your glue work is specific, and a role prompt is not a procedure.

Prompt wrappers

Telling an agent it is world-class does not give it expertise. Load a verified procedure instead.

Copilots that sit unused

Another app people have to open is another bottleneck. Work should move in the tools you already use.

Generic AI products

Software built for everyone does not know your exception rules. The glue between systems is where value lives.

Agent sprawl

Personal agents with no shared registry, no evals, and no owner become tech debt.

How we work

Audit, encode, ship, improve

Skills hold the knowledge. The registry is the spine. Evals prove it works.

  1. 01

    Audit

    We sit with the people who do the work and map how it actually runs: tools, handoffs, exceptions, and unwritten rules. The documented process is only a starting point.

    Workflow map · skill list · ROI estimate

  2. 02

    Encode skills

    We turn that knowledge into versioned SKILL.md packs with clear tool boundaries, evals, and human gates. Your agents load a real procedure instead of guessing from a role prompt.

    Skill pack · eval set · ownership map

  3. 03

    Ship in production

    We connect those skills to the systems you already use. APIs first. No forced migration. Skills live in a private registry or package your agents and CLI can call.

    Live agent(s) · registry · audit log

  4. 04

    Operate and improve

    We start in shadow mode, then supervised production. Corrections improve the system. You get metrics on cycle time, error rate, and hours returned to your team.

    Playbook · metrics · owner training

What you get

A system that keeps working after we leave

Every engagement ends with owned skills, a path to production, and process owners who can update the system without a rewrite.

  • Private skill registry or packaged skill library
  • Production agents for one or two high-value workflows
  • Eval suite and decision audit trail
  • Permissions, guardrails, and human approval gates
  • Training so process owners can update skills without a rebuild
  • Optional public skills when you want to show the work

Engagements

Start with the smallest unit that ships

Each shape has a clear definition of done. Buy entry at the bottom of this page.

Skill Sprint

2–3 weeks

Audit, three to five production skills, and an operating playbook.

Best for: Teams that need procedures encoded quickly

Workflow Implementation

6–10 weeks

One full agent workflow running in production.

Best for: A clear, high-volume process with a real owner

Agent OS Install

10–16 weeks

Internal registry, two or three workflows, and a clean handoff.

Best for: Companies building agent infrastructure for real

Optimization Retainer

Monthly

New skills, eval tuning, model routing, and expansion.

Best for: After the first production win

How we build

Rules we will not break

  • 01Audit before any model call
  • 02Skills hold procedure, not vibes
  • 03Prefer plain code; use the model only where judgment is required
  • 04One registry spine. No personal agent sprawl.
  • 05Escalate with full context, not another dashboard
  • 06Measure path and outcome. Ship the first workflow in under 90 days.

Fit

Who this is for

  • AI product companies whose agents need real domain procedure
  • Agencies turning client work into reusable skill systems
  • Ops and product teams carrying too much tribal knowledge
  • Companies that tried copilots and still have the same cycle times

What we need from you

  • One high-volume, painful workflow
  • A process owner who does the work
  • Read access to the systems of record
  • Willingness to measure before and after

FAQ

Common questions

Do you do free scoping calls?

No. Free calls turn into unpaid consulting. The default entry is a paid Workflow Diagnostic. If you want a short filter first, book a Fit Call.

What is the Workflow Diagnostic?

A $1,500 paid brief: as-is workflow map, skill candidates, code vs skill vs human split, ROI estimate, and a fixed build quote. If you start a Skill Sprint within 30 days, the Diagnostic fee credits in full.

How is this different from the marketplace?

The marketplace is self-serve skills for builders and agents. Business is custom work: we extract your expertise, build skills for your process, and wire production systems.

Do we have to leave our current tools?

No. We build on the systems you already run. Skills and agents sit on top of existing tools and data.

How much time does our team need?

Usually 20–40 hours total across process owners for interviews, reviews, and validation. Not a full-time reassignment.

Who owns the skills and code?

You own the skills, integrations, and artifacts from the engagement. We keep the right to reuse sanitized patterns, never your confidential process.

How do payments work?

Checkout runs through Whop. Fit Call is charged in full. Larger offers take a booking deposit on Whop when required by payment limits; the balance is on the SOW or invoice. You get a confirmation email after payment.

Who is a good fit?

AI product teams, agencies with repeatable client work, ops-heavy companies, and teams tired of copilots with no ROI. A high-volume process with a real owner beats a vague AI initiative.

Offers

Choose how to begin

Fit Call

30 min

$250

A short paid filter. Clear yes/no, recommended shape, budget band.

  • Fit assessment
  • Recommended engagement
  • Rough timeline and budget band
  • Clear next-step recommendation

 

Workflow Diagnostic

1–2 weeks

$1,500

Map one real process, list skills to build, ROI estimate, fixed build quote. Credits in full to a Sprint within 30 days.

  • As-is workflow map
  • Skill candidate list
  • Code vs skill vs human split
  • Fixed-price build quote

 

Skill Sprint

2–3 weeks

$6,000

Audit, three to five production skills, evals, and an operating playbook you own.

  • Expertise audit
  • 3–5 production skills
  • Eval pack + playbook
  • Handover session

$2,500 deposit to book · remaining per SOW (50% kickoff / 50% delivery)

Workflow Implementation

6–10 weeks

$25,000

One end-to-end agentic workflow live in production on your stack.

  • Production agent for one workflow
  • Registry + audit trail
  • HITL gates and evals
  • Owner training

$2,500 deposit to book · balance on SOW schedule

Optimization Retainer

Monthly

$4,000/mo

After the first production win: new skills, eval tuning, model routing, expansion.

  • Ongoing skill work
  • Eval and model tuning
  • Priority support
  • Monthly expansion plan

$2,500 to start · monthly rate $4,000 invoiced after kickoff