You know what
to build. You don't
know where AI fits.
A 3-week structured sprint that maps your product, identifies where AI creates real leverage, and delivers a blueprint ready to build from. Remote-first. Works with teams anywhere.
Two types of clients.
One sprint.
The sprint adapts to where you are — whether you're building something new or adding AI to an existing product.
You have a product.
AI needs to fit in.
Your engineering team can build it. But nobody has mapped where AI actually creates leverage versus where it just adds complexity. That's what we fix.
- SaaS companies adding AI features
- CPOs and product leads with AI mandates
- Teams that tried AI and got mediocre results
- Orgs with data but no AI roadmap
You have an idea.
AI is the engine.
You know the problem you're solving. You don't know whether to use an API, fine-tune a model, or build agentic flows. The sprint makes that decision clear before you write code.
- Founders building AI-native products
- Product managers transitioning to AI roles
- Early-stage teams validating AI feasibility
- Solo builders who need a senior thinking partner
- Have a real product problem AI could solve
- Can involve the team in the process
- Have budget to implement recommendations
- Want a plan, not a presentation
- Can commit 3 weeks of focused collaboration
- Want AI for the pitch deck, not the product
- Need implementation — not strategy (go to JobSquad.tech)
- Can't access your users or data during the sprint
- Are looking for someone to validate a decision already made
3 weeks. 3 phases.
One blueprint.
Each week has a clear output. No open-ended exploration. No discovery that never ends.
Map the product reality.
We audit your current product, user flows, data sources, and technical stack. We identify where users struggle, where manual work accumulates, and where AI could create measurable leverage — versus where it would just add friction.
- Product & Data Audit
- User Flow Analysis
- AI Opportunity Matrix
- Feasibility scoring per opportunity
Design the AI layer.
For the top 3 opportunities identified in Week 1, we design the AI integration end-to-end: user flows with AI, feature specs, technology decisions (API vs fine-tuning vs agentic), and edge case handling.
- AI Feature Specifications
- Tech Stack Recommendation
- User Flows with AI integrated
- Risk & edge case map
Build the execution plan.
Everything lands in a concrete blueprint: MVP scope, sprint plan, team requirements, budget estimate, and success metrics. At the end of Week 3, your team can start building without re-doing the thinking.
- AI Product Blueprint
- MVP Roadmap 90 days
- Budget & team estimate
- Success metrics defined
6 deliverables.
Ready to hand to engineering.
If we don't identify at least 3 viable AI opportunities — you don't pay.
I have not worked on a product with real users where AI had no leverage. But if that turns out to be the case with yours, the sprint is on me. This is written into the contract before we start.
Transparent.
No retainers. No surprises.
Fixed scope, fixed deliverables, fixed price. Complexity determines the tier — not negotiation.
Standard
- Full 3-week sprint (remote + 1 session on-site)
- All 6 deliverables included
- Up to 3 AI feature specifications
- 90-day MVP roadmap
- 2-week async Q&A post-delivery
- Contractual guarantee on deliverables
Enterprise
- Extended discovery (multiple departments/flows)
- Up to 6 AI feature specifications
- Stakeholder alignment sessions included
- Technical architecture review
- Executive presentation of findings
- 30-day post-delivery support
- Contractual guarantee on deliverables
30 minutes.
You'll know if this is the right fit.
A focused call to understand your product, your team, and what AI can realistically do for you. No pitch. No obligation. Results in 48 hours.