Inspired By Frustration// Strategy · Implementation · Proof
AI Consulting for Teams That Ship.
Independent AI consulting services — model selection, guardrails, build-vs-buy, agent design — grounded in shipping production AI, not slideware.
In short
Inspired by Frustration is an independent AI consulting practice that ships all three pillars — strategy, implementation, and proof — instead of selling one and outsourcing the other two.
- The work is run by a senior engineer with production AI in active use (AppHandoff, MCP Beast, an agent fleet shipping merged PRs every day) and judged on what reaches production, not what reaches a deck.
- Every consulting engagement leaves behind an eval harness, observability, and an audit trail you can defend in a sales call or a board review.
Three pillars in every consulting engagement: strategy (where AI pays back), implementation (working systems on your stack), and proof (evals, observability, audit trail).
Most AI consultants ship one and outsource the other two; I ship all three because I am the engineer writing the code.
Production scar tissue from 50+ AI-powered products — agents, RAG, MCP servers, billing automation, content pipelines — is what you get on the call.
What we deliver
Model & Vendor Selection
Anthropic vs OpenAI vs open-weights. Cost-per-task math, latency budgets, eval design, fallback strategy. Independent of any vendor relationship.
Build vs Buy vs Wait
For each AI capability you need: build it yourself, buy a tool, or wait six months for the platforms to catch up. Honest answers tied to your runway.
AI Agent Design Reviews
Tool boundaries, prompt scaffolding, failure modes, observability, eval coverage. The non-obvious stuff that separates a demo from a product.
AI Risk & Governance
Where AI breaks (and how it breaks loudly vs silently). Access control, audit trails, prompt-injection threat models, content boundaries.
Team Enablement
Workshops and pairing for your existing engineers — Claude Code, Cursor, MCP, agent harnesses. Capability transfer, not dependency.
Why us
Currently Shipping Production AI
AppHandoff, MCP Beast, Context Capture, Shadow Post — products in active production use, not portfolio pieces.
12 Years Enterprise Background
Compliance, multi-stakeholder programs, mission-critical systems — the context most pure AI consultants don't have.
Vendor-Neutral
No reseller margins, no referral fees, no implementation-partner status. Recommendations are made on the merits.
// what clients say
Proof from shipped work.
We came in with a Lovable prototype and a board deadline. Three weeks later we had a typed backend, real auth, and an MCP server our support agents actually trust. The POC went to production without the usual rewrite tax.
DaanHead of Engineering
fintech scale-upPOC → production
I needed someone who could orchestrate a swarm of coding agents and still own the architecture. The agent-orchestration setup shipped 40+ PRs in a week — every one reviewed, scoped, and reversible. No hallucinated mess to clean up.
M.R.Founder
B2B SaaSagent orchestration at scale
The MCP integration was the part three other vendors quoted us six months for. Here it was live in under three weeks — tool schema, OAuth, rate limits, traces, the lot. Our Claude agents finally touch real data safely.
PriyaVP Product
healthtech startupMCP integration
AI consulting that survives contact with production.
Tell me what you're trying to decide — model, architecture, build-vs-buy, hiring. I'll tell you what I'd do, and why, in plain language.
Get in touchFAQ
What exactly does an AI consultant do?
An AI consultant helps your team make the high-leverage AI decisions: which model to use, where to apply AI in your product, build-vs-buy choices, agent design, evaluation strategy, governance, and team enablement. Done well, it compresses months of trial-and-error into weeks of guided execution. Done poorly, it's slideware. The difference is whether the consultant has shipped production AI themselves.
What does AI consulting cost?
Single-decision consulting (e.g. "which model should we use?" or "is this agent design viable?") typically runs €1,500–€4,000 for a 1–2 week engagement with a written deliverable. Multi-week strategy work (AI roadmap, architecture, governance) typically runs €8,000–€25,000 depending on scope. Fractional retainers (4–8 hours per week) start at €3,000/month.
What is the role of an AI consultant for a small business?
For small businesses, an AI consultant is most useful as a translator and a filter: which workflows actually benefit from AI versus which are hype, what the realistic ROI looks like, and which off-the-shelf tools beat custom builds. Most small businesses don't need bespoke agents — they need someone to identify two or three clear automation wins and either set them up or write the brief that another vendor can execute against.
AI consultant vs AI implementation consultant — what's the difference?
An AI consultant focuses on advice and decision-support: which strategy, which vendor, which architecture. An AI implementation consultant rolls up sleeves and builds the thing — agents, RAG pipelines, MCP servers, model integrations. I do both, and most engagements blend the two: a strategy phase to decide, then an implementation phase to ship.
Will AI replace human consultants?
Not for the kind of work that matters. AI is excellent at synthesising and presenting information; it is poor at judgment under uncertainty, vendor politics, and reading a room. Consulting becomes more valuable, not less, as AI commoditises the easy parts. The consultants who survive are the ones who combine domain judgment with their own AI fluency — the rest get replaced by a $20/month subscription.