The methodology behind every AI Product Sprint · interactive workbook

The 6-week playbook I run inside every AI Product Sprint.

Most AI agents look great in a demo and break in production. This is the exact 6-phase methodology I ship inside every AI Product Sprint ($30–60K, 4–6 weeks) — the same playbook behind a Fortune 500 AI contact center (40% CSAT lift) and Workly v1 (vibe-coded in 3 weeks). Architecture, eval suites, cost routing — no slideware, no handoff failures. One Agentic Product Architect, one head, end to end.

Stack: LangGraph · MCP · pgvector · Claude Sonnet/Haiku · GPT-5oAvg. time-to-prod: 6 weeksCost reductions: 40–70%Architect: Solo + Ayraxs bench

The exact 6-phase methodology behind every Sprint, Rescue, and Retainer engagement

Step through all 6 phases below — discovery, architecture, build, eval, deploy, optimize. Read the real Python and YAML snippets I ship inside paying engagements. Download the production spec template instantly. No forms, no email capture, no gatekeeping.

The same template I ship inside an AI Product Sprint ($30–60K): exact config for routing, guards, evaluators.
The diagnostic framework behind every Production Audit ($3,500): the 5 boring failures every failing agent has in common.
The cost-routing snippets that take a $14K LLM bill to $5K in nine days — the recent client case, three lines of code.

Which of the four offers fits you?

Sprint ($30–60K) if building · Audit + Rescue ($3.5K → $25–80K) if failing · Retainer ($15–30K/mo) if scaling · MVP ($15–30K) if validating. 30 min, no sales deck.

Book a Scoping Call
No forms. No gatekeeping. Just professional engineering resources.
The 6-phase agent delivery workflow
01
Discovery
WEEK 1
02
Architecture
WEEK 1–2
03
Build
WEEK 2–4
04
Eval & Test
WEEK 3–4
05
Deploy
WEEK 4–5
06
Optimize
WEEK 5+
PHASE 01 — WEEK 1

Discovery — map the agent's job

Before writing a single line of LangGraph code, we define exactly what the agent must do, what it must never do, and how we will measure success. Most failed agent projects skip this and pay for it in week 4.

Inputs
Existing process docs / SOPs · Sample inputs (tickets, calls, transcripts) · Stakeholder interviews (1–2 hrs)
Outputs
Agent job spec (1–2 page) · Success criteria + eval rubric · 20–50 labeled test cases
Stack
NotionOtter.aiGoogle Sheets
Production Spec / Code Snippet
# agent_spec.yaml
name: support_triage
in: customer_message
out: { intent, priority, action, confidence }
must_never:
  - escalate_to_billing_without_account_id
  - reveal_internal_tooling
eval_pass_threshold: 0.92
20–50
labeled test cases ship before code starts
Outcome Marker

Before writing a single line of LangGraph code, we define exactly what the agent must do, what it must never do, and how we will measure success.

Every $1 spent on eval upfront saves ~$10 in production debugging.
Proof points

Three production deployments. Same workflow.

These aren't hypothetical case studies. Each one was shipped to production using the exact 6-phase methodology, hitting concrete ROI targets, and delivered with auto-run test suites.

LLM cost optimization

$14K → $5K monthly spend

Series-B SaaS support automation pipeline. Cost slashed by 64%, response latency improved by 28%, and quality maintained flat.

  • Problem: Single GPT-4o call triggered per ticket, costing $14,000/mo and scaling linearly with user growth.
  • Approach: Cascading routing (Haiku → Sonnet → Opus), aggressive prompt caching, and semantic cache for high-frequency queries.
  • Outcome: 62% of queries routed successfully to Haiku ($0.0008/req), 31% to Sonnet, and only 7% escalated to costly models.
LangGraphOpenRouterLangfuseRedis
Multi-agent system

Swarm outreach: 38 → 142 SQLs/mo

B2B services firm. A 4-agent LangGraph swarm replaced their manual SDR research workflows, increasing SQL volume by 3.7x.

  • Problem: Sales reps spent 60% of their time on repetitive prospect intelligence gathering rather than chatting.
  • Approach: Supervisor pattern with 4 specialist workers (Researcher, Personalizer, Sender, and CRM Tracker) with a strict Human-In-The-Loop approval gate.
  • Outcome: Reached 142 qualified meetings/month in under 90 days. Reply rates boosted from 2.1% to 11.3%.
LangGraphClaude SonnetApolloPostgres
Production agent

Support automation: 71% resolve rate

Fintech Tier-1 customer support replacement. Autonomously handles over 71% of tickets end-to-end with 94.2% CSAT score.

  • Problem: 8,000 monthly tickets scaling customer support costs with an average 22h first-response SLA.
  • Approach: Agentic RAG over Help Center docs + secure Stripe integration. Self-correction loop handles errors gracefully before escalation.
  • Outcome: SLA dropped to 47 seconds. Average handler ticket cost cut from $4.20 to $0.31. Four quality regressions caught in CI/CD.
LangGraphPineconeLangSmithStripe API
Next Step

Have an agent in mind? Pick the offer that fits.

Book a 30-minute scoping call. I'll map your business workflow to the 6-phase process, identify high-risk failure modes, and tell you straight which of the four offer tiers fits — Sprint, Audit + Rescue, Retainer, or Vibe-Built MVP. No sales deck. If your situation is buy-not-build, I'll tell you that too.

Book a 30-min scoping call →See more case studies
Four offer tiers · $3.5K Audit · $15–30K MVP · $30–60K Sprint · $15–30K/mo Retainer. Milestone payment, 90-day exits, no long-term lock-in. Currently taking 2 new engagements this quarter.
✦Pricing & Plans

Four Offer Tiers.
One Architect.

Below: three of the four. The fourth — Production Audit + Rescue ($3.5K → $25–80K) — is the entry-tier banner above. Pick what matches your situation: validating, building, fixing, or scaling.

$3.5K
Your AI agent shipped and now it isn't behaving?Production Audit + Rescue. 2-week audit, 25-page report, cost breakdown, eval-coverage gaps, top-5 prioritized fix list. $3,500 credits toward a rescue if you go ahead. The Gartner-40%-of-agents-canceled-by-2027 lane.
Book a Production Audit→

Vibe-Built MVP

$15–30Kfixed

Ship your AI product in 3 weeks.

For solo founders with an AI idea and no team. Working MVP with real auth, real database, real users — hosted, payment-ready, repo in your GitHub. Not a Streamlit demo. Differentiated by 8 years of design + product chops; my MVPs ship polished, not ugly.

  • ✓Working AI product, real auth + DB
  • ✓Full front-end (Next.js / React) + back-end
  • ✓LLM integration with eval scaffolding
  • ✓Stripe payment if you are validating pricing
  • ✓Posthog or GA4 analytics baked in
  • ✓Hosted demo URL for design partners
  • ✓Source code in your GitHub org from day one
  • ✓30 days of bug-fix support
Start a Vibe-Built MVP
Most Popular

AI Product Sprint

$30–60Kfixed

I become your fractional founder for 6 weeks.

Discovery, spec, architecture, UX, and the build — end to end. Replaces a 4-contractor team ($115K typical) for half the cost, with zero handoff failures. Best for funded founders shipping a real AI product, not slideware. Solo or with Ayraxs talent bench when scope demands.

  • ✓Week 0: scope lock 1-pager (free)
  • ✓Week 1: discovery + architecture memo
  • ✓Weeks 2–3: build sprints with Friday demos
  • ✓Week 4: hardening + UX polish
  • ✓Week 5–6: HITL layer + handoff (if scope)
  • ✓Eval harness with 25–30 golden tests
  • ✓LangSmith tracing + cost dashboards
  • ✓Architecture doc, runbook, team training
  • ✓30 days post-launch bug-fix support
  • ✓Milestone payment 30 / 30 / 40 — no prepay
Book a Sprint scoping call

Agentic Product Retainer

$15–30K/mo90-day exit

Fractional CPO + Architect, embedded.

Senior product leadership for your AI line, without the FTE risk. 2–4 days/week embedded. Replaces a $1.2M/yr Principal PM + Staff Engineer + Lead Designer triad. 14-month average duration; most engagements convert from a Sprint or a Rescue.

  • ✓2–4 days/week embedded
  • ✓Architecture decisions + code review on agents
  • ✓Hands-on builds with Ayraxs bench as needed
  • ✓Weekly written status + monthly reliability report
  • ✓Eval harness ownership + expansion
  • ✓Model-deprecation handling (worth the fee alone)
  • ✓Direct Slack access to me
  • ✓3-month minimum, 90-day exit thereafter
Scope a Retainer

All engagements are fixed-price after a 20-min scoping call · Milestone-based payment · 90-day exits · Pakistan-based, working globally · Local-market pilot tier available — DM for terms.