WriteWorks AI is the default on every AI call across the co-author, three optimisation lenses, prompt research, grammar pass, intent-anchored templates, URL import, and grounded chat. Fast paths fall back to a lighter tier automatically. Long-context workflows route to a higher-context tier. Every call passes through the Vercel AI Gateway for unified observability, failover, and direct-SDK fallback.
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The compromises of a one-size-fits-all model choice.
Generation needs depth. Classification needs speed. Long-context reasoning needs more context window. A single model choice forces a compromise.
A direct API integration with no failover means a provider outage breaks the platform.
Without unified observability across every call, tracking spend and latency by feature is guesswork.
Multi-tier model coverage routed via Vercel AI Gateway.
The AI co-author, three lenses, prompt research, grammar pass, intent-anchored templates, and URL import all run on WriteWorks AI by default.
Prompt expansion and classification route to a lower-latency tier when depth isn't the constraint. Long-context reasoning routes to a higher-context tier when it is.
Every call is routed through the Vercel AI Gateway for unified observability and failover. Falls back to a direct SDK call if the Gateway is unavailable.
Per-message input and output token counts surfaced in the Ask feature. Aggregate spend visible in billing.
From invisibility to category dominance across every major answer engine.
“We retired three legacy tools and rebuilt our motion around WriteWorks. Category share-of-voice on ChatGPT and Perplexity tripled, and citations now drive more pipeline than paid search.”
Every routing path and every safety net.
Across the co-author, lenses, research, grammar, templates, URL import.
Lower-latency tier for prompt expansion and classification.
Higher-context tier for select long-context workflows.
Unified routing, observability, failover.
Survives Gateway hiccups without downtime.
Per-message counts visible in Ask.
Latency, quality, and reliability.
Every capability of the AI infrastructure layer.
Operators, engineering, content teams.
Multi-tier model coverage without the API plumbing.
Routed via Vercel AI Gateway for observability and failover.
Best model tier for each step, automatically.
“Within 60 days we closed the share-of-voice gap across every major LLM. Our content team now ships citation-ready by default, and we have the dashboard to prove it.”
Read the full storyEverything teams typically ask before getting started.
Related solutions, adjacent use cases, and platform features.
Default on every AI call. Multi-tier model coverage. Unified routing, observability, and failover.