Reymentos$39/month

AI Advisors That Think Like Senior Practitioners

Six specialist AI advisors — grounded in Budhisamvad's practitioner research and original frameworks. Not generic AI answers. Structured counsel calibrated to your specific context.

Get access — $39/month See what's included

What makes Reymentos different from other AI tools

Grounded in practitioner research

Every advisor draws on Budhisamvad's research — including the Platform Gravity Model™, enterprise AI governance frameworks, and architecture patterns built from production experience in regulated industries.

Context-first, not answer-first

Reymentos advisors ask clarifying questions before recommending. They need to understand your team size, industry constraints, current state, and decision timeline before they can give you useful guidance.

Structured like senior counsel

Responses follow the structure of experienced practitioner advice: situation assessment, recommendation, rationale, trade-offs, implementation guidance, and risks. Not bullet-point summaries.

Domain specialist, not generalist

Each advisor has a defined specialisation. The Platform Engineering Advisor doesn't give database advice. The Data Platform Advisor doesn't opine on security architecture. Depth over breadth.

How an advisory session works

Select your advisor

Choose the specialist most relevant to your decision. Each advisor is trained on Budhisamvad's research, frameworks, and enterprise patterns for their domain.

Describe your situation

Tell the advisor your context: organisation size, industry, current state, constraints, and the specific decision you are facing. No jargon required — speak plainly.

Receive structured counsel

The advisor asks clarifying questions, analyses your situation against relevant frameworks, and provides a structured response: recommendation, rationale, trade-offs, risks, and implementation guidance.

Explore the decision

Continue the conversation. Ask follow-up questions, test alternatives, challenge the recommendation. The advisor maintains full context of your situation throughout the session.

The 6 specialist advisors

Your $39/month membership gives you unlimited AI conversations across any combination of the 6 advisors below.

Platform Engineering Advisor

● Live

IDP strategy · maturity assessment · developer experience · golden paths

Assess your internal developer platform against the Platform Gravity Model™. Identify where your platform sits across Developer Experience, Self-Service, Automation, Governance, and Product Thinking — then receive a prioritised roadmap to the next maturity level.

Example questions

›"Is our platform team structured correctly for a 300-person engineering org?"
›"Should we build on Backstage or start with Port?"
›"What's the right maturity level to target in the next 12 months?"

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AI Strategy Advisor

Coming soon

AI adoption · governance · model risk · LLMOps · regulated environments

Navigate AI adoption within your specific enterprise context — including regulatory constraints, data governance requirements, and team readiness. Provides governance frameworks, risk assessments, and architecture guidance for production AI deployment.

Example questions

›"What governance framework do we need before deploying AI in a regulated environment?"
›"Should we use RAG or fine-tuning for our internal knowledge management use case?"
›"How do we build an AI-ready data platform without a data mesh?"

Cloud Architecture Advisor

Coming soon

Cloud strategy · landing zones · FinOps · multi-region · hybrid cloud

Cloud investment decisions require architectural and financial analysis that goes beyond vendor comparisons. This advisor brings a cost-aware, governance-first approach to cloud platform design — including decisions on multi-cloud, hybrid deployment, and long-term architectural lock-in.

Example questions

›"How do we design a landing zone that supports 50 engineering teams without becoming a bottleneck?"
›"We're spending 40% more on cloud than budgeted — where should we look first?"
›"What's the architecture for a regulated hybrid cloud that satisfies both engineering teams and compliance?"

Data Platform Advisor

Coming soon

Data architecture · lakehouse design · database selection · data mesh · AI data readiness

Data platform decisions affect every AI, analytics, and operational workload in the business. This advisor specialises in architecture trade-offs, technology selection (including the warehouse vs lakehouse vs database decision), and governance frameworks that support both analytics and AI workloads.

Example questions

›"Should we migrate from Snowflake to a lakehouse architecture or stay and extend?"
›"How do we implement data contracts across 20 teams without slowing everyone down?"
›"What database architecture supports both our OLTP workloads and our new LLM-based applications?"

Security & Resilience Advisor

Coming soon

Zero trust · policy-as-code · resilience patterns · regulated compliance · incident response

Security in platform engineering is no longer an audit function — it's an architectural discipline. This advisor covers the integration of security into platform golden paths, policy-as-code implementations, and the resilience patterns that ensure production systems fail gracefully.

Example questions

›"How do we implement Policy-as-Code without blocking developer velocity?"
›"What's the architecture for zero-trust in a Kubernetes environment with 200 microservices?"
›"How do we design for resilience when we can't tolerate more than 4 hours of annual downtime?"

Technology Decision Advisor

Coming soon

Build vs buy · vendor evaluation · technology strategy · investment prioritisation

Technology decisions involve trade-offs that vendor documentation doesn't address: total cost of ownership, operational overhead, team capability, and long-term lock-in risk. This advisor structures the decision — surfaces the real alternatives, models the cost, and identifies the organisational dependencies that often determine the right answer.

Example questions

›"We're choosing between building an internal tool or buying a vendor product. How do we structure this decision?"
›"What is the actual total cost of a Backstage implementation for a 500-person engineering team?"
›"How do we prioritise £500k of technology investment across platform, AI, and observability needs?"

Start making better technology decisions

$39/month. Unlimited AI advisor access. Full research library. Platform Gravity Model™ assessment. Cancel anytime.

Start membership — $39/month