Product diagnostic

Agents are already using your product. Badly. Which capabilities should they get — and in what form?

The Agent-Ready Product Diagnostic. In 2 weeks: a scored, evidence-backed answer to which of your product's capabilities agents should use first, in what form — API, MCP, CLI, Skills, or ChatGPT App — and what has to be fixed before any of it ships. Fixed fee. Zero access to your systems. Guaranteed.

Three signs this is you:

SIGN 1

A prospect or customer asked "do you have an MCP server?" — and the answer was a roadmap shrug.

SIGN 2

Someone on your team proposed building one, and nobody could say for which capabilities, at what granularity, with what auth.

SIGN 3

Your logs show traffic from AI tools and agents you never designed for — unmeasured, unmonetized, occasionally abusive.

Your buyers' engineers now evaluate tools through AI assistants. Their agents already try to call your product. Agent ecosystems — connector directories, app stores, skills registries — are being seeded right now, and they reward early, well-designed presence with default-choice status. The teams that arrive late arrive as the fourth MCP server in their category.

The instinct is to ship an MCP server. The mistake is shipping it for the wrong things: wrap your whole API 1:1 and you get an agent surface with too many tools, wrong granularity, no evals — unusable, in exactly the channel where first impressions persist.

The right question: which capabilities, in what form, in what order — and what breaks when agents actually use them?

That's what this diagnostic answers.

What you get

A defensible answer your board and your roadmap can act on — backed by:

  1. Demand evidence map — what agents and AI tools are already doing against your surface (from your logs), plus what customers and prospects have asked for. Your data, not my guesses.
  2. Agent-Readiness Scorecard — your capabilities scored against explicit criteria: design, docs, auth, error behavior, granularity, cost and abuse exposure. The rubric stays with you — re-score yourselves next quarter.
  3. The priority 2×2 — demand × readiness: what goes first, what waits, what's a quick win, what's a trap.
  4. Surface call per candidate — plain API vs MCP vs CLI vs Skills vs ChatGPT App, with the reasoning.
  5. The gap list that gates shipping — agent auth, rate limits, cost controls, error semantics, eval plan.
  6. A 90-day build sequence + 5-slide board briefing, delivered in a 60-minute readout.

First signal in week 1: a baseline readout of what's already hitting your API — most teams are surprised.

How it works — under 8 hours of your team's time

You send exports. I never touch your systems. No credentials, nothing installed, no production data, no vendor security review to schedule.

You provideWhoTime
API specs / referenceEng or DevRel~30 min
30–60 days of gateway/CDN logsDevOps~1 hr
Support threads + sales notes mentioning agents/AICS + Sales~1 hr
API usage analyticsProduct~1 hr
5 interviews × 45 minyou + 4 leads~4 hrs

The 2-week clock starts the day your export package lands — most teams assemble it in 2–3 days.

Who runs it

Emmanuel Paraskakis, founder of Level 250.

Your team could self-score — but a self-graded scorecard doesn't survive a board, and your engineers' quarter costs more than this engagement.

Ships every surface he recommends: a live MCP connector, a ChatGPT App, CLI products, published agent Skills.
Trains teams at Amazon, Microsoft, Netflix, and Bloomberg on agent-ready API design.
750K+
APIs designed on Swagger — tools he built
550K+
APIs designed on Apiary
VP Product at API platforms

Is this for you?

Good fit:

  • API-first product, ~50–1,000 people
  • At least one of the three signs above happened this quarter
  • You're the CEO, founder, or CTO — because your teams will need to produce five exports and five interview slots inside two weeks, and that only happens when the ask comes from you.

Not a fit:

  • You've already decided to wrap your full API in an MCP server this sprint no matter what — call me after it ships.

Engagement