Draft outline — founder to write. The structure below is locked. The narrative under each heading will be written by Hussain to keep voice authentic. Estimated final length: ~1,400 words.

1. The four failure modes that produce surprise AI bills

[TODO: founder to write — ~250 words. Walk through the four common modes: (a) recursive agent loops that keep calling themselves, (b) production traffic spikes hitting an uncapped model endpoint, (c) long-context calls that quietly grow as conversations accumulate, (d) misclassified workloads using premium models for trivial work. Real numbers from anonymised engagements.]

2. Per-request budgets, daily caps, monthly caps — how to layer them

[TODO: founder to write — ~250 words. The three layers and why each exists. Per-request cap to stop one runaway call; daily cap to protect against a bad-day spike; monthly cap as the contractual ceiling. How to set each (P95 of expected usage, business-tolerable cost, finance team’s patience). Hard-stop vs. soft-throttle design.]

3. Caching strategies for repeat queries

[TODO: founder to write — ~250 words. Prompt cache, response cache, embedding cache — what each is, when it pays off, what it costs to maintain. Cache-key design: hash of normalised prompt vs. semantic similarity. Cache invalidation: time-based vs. event-based. Numbers: typical hit rates we see in production CRM and support workloads.]

4. Model-tier routing — use the cheap model for the easy work

[TODO: founder to write — ~250 words. The routing pattern: classifier in front of the workload, cheap model for the 80% of easy cases, premium model for the 20% the classifier flags as hard. How to train the classifier cheaply. The cost curve before and after. When NOT to do this (latency-sensitive or accuracy-critical workloads where the routing overhead does not pay off).]

5. Budget alerts and kill-switch design

[TODO: founder to write — ~200 words. Alert thresholds: 50% of monthly budget, 80%, 100%, 120%. Who gets paged at each. What the kill switch actually does: stop new model calls, queue inbound, surface a clear message to users. Why a soft-throttle is usually worse than a hard stop in production. Documented manual fallback for every agent.]

6. Cost-cap middleware pattern (with code)

[TODO: founder to write — ~200 words plus a code snippet sidebar. Anonymised pattern: a thin middleware that wraps every model call, atomically increments a Redis counter, rejects if over cap, logs to audit. Pseudocode in a language-agnostic style. Why middleware (not retry logic) is the right place for this.]

Related: Governance defaults · Case: $180/month hard ceiling, never exceeded · How we engage