No timeout
A user request hangs indefinitely when an LLM call takes longer than expected. The connection pool fills. New requests are queued, then dropped.
For engineering teams
Turn API-callers into
AI-reliability engineers.
Before the next production incident. White-labelled to your stack and brand. Your senior engineer is the TA.
The reliability gap
Most engineers integrate LLMs
the same naive way.
Call the API, check for a string, ship it. What breaks in production when they do is predictable — and preventable.
No retry discipline
A transient 429 becomes a user-facing failure. Or retries compound an outage by thundering-herding against a recovering service.
LLM output trusted without validation
Shape errors silently corrupt data. A truncated JSON response becomes null in the database. Status shows 'processed'. Nobody notices for nine days.
No eval harness
Nobody knows if a prompt change broke something. Quality drifts after launch. The first signal is a customer complaint, not a CI failure.
No observability
Production incidents are invisible until users report them. When they do, there is no trace to replay the failure.
No idempotency
A webhook retry double-charges or double-processes. The worker that handles slow LLM work is not safe to re-run.
These are not edge cases. They are the predictable consequences of treating an LLM call like a database query. Every one of them is teachable — and every one of them shows up in production before it is taught.
The program
What Pukkaship does
for your team.
- Engineers work on deliberately broken AI systems — one production-shaped reliability problem at a time
- White-labelled to your stack: references swap for your LLM provider, queue, and infrastructure
- Your most senior engineer is the TA — Pukkaship provides the curriculum and automated checking
- Every engineer finishes with a co-branded verified skills profile showing what they can actually do
- Progress dashboard for the L&D lead — no manual effort required to track the cohort
The credential (internal)
A co-branded skills profile per engineer — your logo, Pukkaship verified. Every skill claim traces to a real artifact. Not a completion certificate; evidence of actual capability.
Bounded failures
Can the engineer make a system fail loud instead of silently?
LLM integration
Can they distinguish transport failure from content failure?
Eval design
Can they turn 'it seems better' into a number they can track?
Production observability
Can they diagnose quality drift from structured traces?
Pricing
Simple to start.
Scales with your team.
Per seat
$150–300
Individual engineer access. Full curriculum. Verified skills profile on completion.
Team / custom contract
$8,000+
Cohort access for a team. Progress dashboard for L&D. White-label setup included.
White-label setup
Included
Swap provider references to match your stack. Co-brand with your logo. No extra charge.
Pricing varies based on team size and curriculum customisation. Let's talk.
The next production incident
is preventable.
Every failure mode in the gap section above is teachable. Most teams encounter them in production before anyone teaches them. Pukkaship reverses that order.
Talk to usSudi Bhattacharya · sudi@pukkaship.dev