Find the layer,
build what matters.
Strategy, product design, engineering, and growth in one accountable team. We find where AI fits, shape the experience, and build it into the product you already run.
One team from first question to shipped feature.
Start with the work in front of you. We can find the opportunity, design the experience, build the software, or repair a feature that never earned adoption.
AI Experience (AX) Audit
We map your product, users, data, and metrics to find the few AI opportunities with a credible path to return. You leave with a ranked map, a working concept demo, a build plan, and a clear stop list.
- Opportunity mapMap where AI could change user behavior, then rank each option by return and effort.
- Metric modelConnect the strongest opportunities to a number you already track and can defend.
- Adoption teardownFind the screens, steps, and unanswered questions that keep users from returning.
- Data readinessCheck whether your product and data can support the feature before you commit to it.
- Working concept demoMake the strongest opportunity tangible so your team can judge the real experience.
- Stop listName the ideas to skip and record why they do not earn more product or engineering time.
AI Product & UX Design
We shape the experience around the model, from discovery and first use to uncertainty, recovery, and human handoff. The result is an AI feature people can understand, use with confidence, and return to.
- Copilot and assistant designPut help inside the work with a clear purpose, useful entry points, and a fast path back to control.
- Prompt experienceShape inputs, defaults, examples, and guardrails so users do not need to learn prompt engineering.
- Trust and confidenceShow sources, uncertainty, and system limits at the moment a person needs to decide.
- Failure recoveryGive users a clear way to correct, retry, edit, escalate, or continue without the AI.
- AI onboardingIntroduce the feature at the right moment and guide users to a useful first outcome.
- Human-in-the-loop flowsLet people approve, monitor, change, and undo AI actions before they affect important work.
AI SaaS & MVP Development
We turn a product idea, a rough workflow, or a crowded product experience into a clear product people can use. AI goes where it improves the outcome, while the core product stays simple, reliable, and ready to learn from real users.
- Product strategyDefine the user problem, business case, assumptions, and signal that tells you whether to continue.
- MVP experience designDesign the smallest complete flow that can deliver a useful outcome and teach you something.
- Product architectureStructure the screens, states, permissions, and data so the product can grow without fighting itself.
- Full-stack developmentBuild the frontend, backend, authentication, data layer, and deployment as real product software.
- AI feature engineeringAdd AI where it improves the product outcome and use simpler software everywhere else.
- Testing and refinementFind usability problems, technical risks, and weak assumptions before launch and after first use.
AI Automation & GTM Agents
We build agents for the repetitive work behind your product, from lead routing and CRM updates to support triage and document intake. The layer handles the repeatable path, shows its work, and sends uncertain or costly decisions to a person.
- Workflow automationMove repeatable work between the tools your team already uses, with visible checkpoints.
- AI agentsLet an agent read, decide, act, and report on a defined task without hiding the steps.
- CRM and GTM operationsKeep lead records, call notes, enrichment, routing, and follow-up connected to the real work.
- Support automationTriage, tag, route, and draft answers for questions your product can already support.
- Document processingExtract structured fields from contracts, invoices, forms, and PDFs with review for exceptions.
- Agentic GTM systemsConnect research, content, outreach, CRM updates, reporting, and human decisions into one flow.
AI Redesign & Rescue
We find why the feature failed, separate the model problem from the product problem, and rebuild the part that keeps users away. You get a clearer experience, stronger safeguards, and a relaunch path tied to adoption or ROI.
- Failure diagnosisSeparate demand, scope, data, model, workflow, and experience problems before changing the code.
- AI feature rebuildKeep what works, remove what does not, and rebuild the path that blocks useful adoption.
- Experience rescueImprove prompts, feedback, sources, recovery, and handoff so the feature fits the product.
- Reliability evaluationTest real cases, expose weak responses, and add the safeguards the feature needs to earn use.
- Second releaseShip the improved feature in your existing stack, patterns, design system, and deployment process.
- Adoption trackingMeasure whether the fix changes use, retention, conversion, efficiency, or the agreed outcome.
AI Discovery & Growth
We structure your product and public knowledge so AI assistants can describe it accurately, then improve the path from discovery to activation. The work connects answer visibility, onboarding, conversion, and the metric your team needs to move.
- AI discovery reviewSee how assistants describe, compare, cite, and miss your product across important questions.
- Answer monitoringTrack how the answer changes over time and where competitors or weak sources take your place.
- Structured product contentMake your product, use cases, proof, and limits easier for people and machines to understand.
- Onboarding and activationMove new users from an informed first visit to the first outcome that proves the product's value.
- Conversion and upgrade flowsImprove pricing, paywalls, prompts, and in-product decisions around the moments that move revenue.
- Growth feedback loopConnect answer visibility, product behavior, and revenue signals so each cycle improves the next decision.
Design the layer people use and agents can understand.
Your buyers use agents to research products, and your users will ask agents to complete work inside them. We design the boundaries, sources, and actions for both sides of that interaction.
Agentic website
A site with clear, machine-readable answers that agents can cite for buyers. Your team keeps approval over what gets published.
yoursite.com/llms.txt- Structured source
- Machine-readable pages
- Review before publish
Agentic application
An agent inside the product that plans and acts with visible steps, clear approval points, and a way to undo the work.
- Planning
- Needs approval
- Completed
- Handed back
Agentic workflows
Agents that run repeatable work behind the product, with checks, logs, and a human checkpoint when a wrong action is expensive.
TriggerAgentReviewSystem of record
Not sure which one you need? The AX Audit covers AI and agentic experience: how people use your AI, and how agents read and act on your product.See the AX Audit
Clear decisions before more software.
We start with the product, the people using it, and the metric that needs to move. Then we use AI where it helps, keep a person where judgment matters, and leave your team with work it can own.
- 01Put AI on top.The layer improves the product you already run. It does not replace the core engine or ask your business to depend on one model.
- 02Design the limits.Sources, fallbacks, evaluations, and human review make the useful path clear and the unsafe path visible.
- 03Keep one team close.The people who frame the opportunity stay close through design, engineering, review, and handoff.
- 04Make the handoff real.Your repo, your patterns, clear documentation, and a walkthrough your team can use after launch.
Bring us the product problem.
Tell us what you shipped, where users struggle, and which number needs to move. We will point you to the right service, even if the answer is not a build.
A founder replies, usually the same day.
Senior product, design, and engineering in one room.
- 11companies the team has built insideEmployment and contract work, 2019 to today
- 13products shipped to productionCounted, not estimated
- 8industries servedThe same eight on the industries page
- 7+years shipping softwareFounder, first production release to today
- 10+senior designers and engineersEvery one has shipped to production
I've worked with Shahriar since 2021 on various projects, including at my last organization, Agora. When assigning Shahriar a task, I have the utmost confidence as he has been my swiss army knife any time I needed assistance or a task complete. Anybody who has the privilege of working with him will say the same, I promise.
Dennis IvyDeveloper Advocate, PostHogWorked together @TraversyMediaEvery service ends in something usable.
Every service ends with something concrete your team can use, review, or build on. You leave with a clear output and a clear next step, whether you are building or fixing.
A decision your team can act on
Map the product, rank the AI opportunities, and prove the strongest path before a quarter disappears into the wrong feature.
See the full serviceIncluded in this service
- Ranked opportunity map
- Projected return
- Working concept demo
- Build plan
- Stop list
- Reliability note
Before you build, prove where AI pays off.
The AI Experience (AX) Audit maps your product, ranks the opportunities, and proves the strongest one in 14 days. You get a projected number, a working concept demo, and a plan for what comes next.
- 01Understand the productMap the users, workflow, data, and number that matter.
- 02Rank the opportunitiesSeparate a useful layer from an expensive distraction.
- 03Prove the strongest pathTest the experience before the build begins.
- 04Plan the next releaseLeave with scope, sequence, dependencies, and a stop list.
Opportunities
23
9 worth building
Top projected lift
+14%
Trial to paid
Stop list
8
Low return, skip
Projected return by opportunity
Onboarding assistant ranks first
Highest projected return for the lowest build effort. The working concept demo ships with the audit.
Opportunity map
The 3X Guarantee
We use the audit to find the AI opportunity worth building. If we do not uncover a projected opportunity worth 3X the audit fee, the audit is completely free. If you move forward with the build, we credit the full audit fee toward it.
Clear scope, close collaboration, useful handoff.
The same operating commitments apply whether you start with an audit, a build, a rescue, or growth work.
- Founder inevery engagement
- Senior teamno shared pool
- Fixed scopeprice agreed first
- Weekly reviewshared channel
- Your repodesign files
- Stop anytimeno notice period
- 01Start here
AI Experience Audit
A fixed price, two week audit that finds where AI can move a metric in your product, and where it cannot.
- Ranked AI opportunities
- Projected return by metric
- Adoption and friction review
- 02
AI Experience Build
We build the opportunity your audit proves. Fixed scope, fixed price, same team from strategy through handoff.
- AI experience design
- Production build in your stack
- Guardrails and fallbacks
- 03
AI Growth Sprints
Keep improving the AI layer after launch. Book one sprint at a time when the next improvement is clear.
- Plan against the audit projection
- Evals and live monitoring
- One improvement per sprint
The working stack
Tools your team can own after handoff.
We choose familiar tools for the job, keep the architecture visible, and leave the layer understandable enough for your team to run and extend.
The same service changes with the product.
A booking flow, a claims workflow, and a developer tool carry different risks. See how the layer changes when the work changes.
Choose the right place to start.
How do I know where to start?
Start with the AI Experience (AX) Audit when the opportunity is unclear. It maps the product, ranks the options, and shows what AI should move before you commit to design or engineering.
We already shipped an AI feature. What now?
Do you design and build together?
Do you replace our product or engineering team?
What kind of products do you work with?
How long does the work take?
Have a product problem? Let's talk.
Tell us what you are trying to improve and where the product is stuck. We will help you decide if an AI layer is worth building.
- NDA from the first conversation.
- Response within 24 hours, guaranteed.
- Founder-led from first call to handoff.
