IntentSolutions

Selective AI implementation practice

Build with judgment. Ship for real.

A model-agnostic room for serious practitioners who want to implement AI in production. Learn the Intent Solutions house method, sharpen it with peers, and prove it on production-shaped work.

Credentials are optional. Production standards are not.

01 / STACKModel-agnosticChoose tools for the constraint, not the tribe.
02 / METHODOne house standardShared ways to frame, build, prove, and operate.
03 / WORKProduction-shapedPractice against the failure modes tutorials omit.
04 / ACCESSSelective by designPeer density matters more than member volume.

How the room works

A practice, not a course catalog.

The public door states the standard. Inside, practitioners learn one operating method and choose the proof paths that fit their work. The deepest room is never a checkout button.

Stage 01 · Public door

Request the room

Show us what you are building, how you think, and where you want sharper production judgment.

Fit over volume
Stage 02 · Practice

Learn the house way

Use shared systems, live review, real artifacts, and optional proof paths alongside people doing the work.

Standard required
Stage 03 · Inner circle

Earn deeper trust

Judgment, contribution, and operating fit can lead to a founder invitation into the deeper arena.

Invitation only

The Intent Solutions way

Tool-fluent. System-disciplined.

The house method is the common language. Models, runtimes, and credentials can change without changing how the room approaches production work.

Frame with judgment

Clarify the outcome, constraints, authority, evidence, and stopping conditions before an agent starts generating.

Build with agents

Design context, tools, handoffs, and human control so the system is useful beyond a single impressive prompt.

Prove before trust

Use evals, tests, adversarial cases, receipts, and review gates to separate demonstrated behavior from confident claims.

Operate the whole system

Ship with rollback, secrets discipline, observability, cost awareness, and clear ownership when the model is wrong.

Optional proof paths

One practice. Several ways to prove it.

Everyone shares the house core. From there, members can pursue role-shaped practice, including relevant credentials, without turning the room into separate vendor fan clubs.

Shared first

Intent Solutions house core

Systems thinking, agentic delivery, evaluation, governance, production operations, and peer review.

Production architectureSystem design, risk, and technical judgment
Agent building and orchestrationTools, context, coordination, and failure handling
Evaluation and governanceEvidence, policy, auditability, and release confidence
No credential requiredShipping well remains a valid proof path

Built by practitioners

The people behind Intent Solutions

Operators and builders teaching from systems they actually run.

Jeremy Longshore, Founder & CEO

Jeremy Longshore

Founder & CEO

Opeyemi Ariyo, Co-Founder & Chief Technical Officer

Opeyemi Ariyo

Co-Founder & Chief Technical Officer

Pablo Perez, Co-Founder & Project Manager

Pablo Perez

Co-Founder & Project Manager

Max Sheahan, Lead Instructor

Max Sheahan

Lead Instructor

Tim Neunzig, Head of German Operations

Tim Neunzig

Head of German Operations

Tolulope Ariyo, Software & Design Engineer

Tolulope Ariyo

Software & Design Engineer

Verified Anthropic partner credential

Standards over spectacle

Looking for a room that takes the work seriously?

Tell us what you are building and where you want sharper judgment. Access is selective because the quality of the room is the product.