PAPI
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ROI & Cost

PAPI's value isn't in writing code faster — it's in writing the right code, on scope, with a complete audit trail.

0
AI tokens spent by PAPI
65%
Estimation accuracy (5-cycle avg)
5
Cycles between strategy reviews

The Problem: Wasted AI Cycles

Without a planning layer, AI-assisted development has predictable failure modes: scope creep (the AI adds “one more thing”), context loss (the AI forgets what it did yesterday), and rework (the AI builds something different from what was intended). Each wasted cycle costs real money in AI tokens and developer time.

A single wasted AI coding session can cost $5-50 in tokens. A team of 5 developers wasting 2 sessions per week each costs $500-5,000/month in pure waste. PAPI eliminates this by ensuring every AI session starts with a clear, scoped specification.

With vs Without PAPI

DimensionWithout PAPIWith PAPI
Task ScopeAd-hoc, often expands mid-sessionExplicit scope boundary per task
ContextLost between sessionsOrient call restores full state
QualityNo structured review gateHuman review before every merge
EstimationNo trackingActual vs estimated, trend tracked
DecisionsLost in chat historyVersioned, searchable, surfaced
CostAI tokens + developer time on reworkZero AI token cost (bring your own key)

Cost Structure

PAPI has zero marginal AI cost. It never calls an AI API — your team brings their own API keys through their AI coding tool. PAPI provides the structure (planning prompts, task specs, review workflows) and your existing AI tool provides the intelligence.

The only costs are your existing AI tool subscription and a PAPI plan. There are no per-token charges, no per-user AI fees, and no hidden infrastructure costs. PAPI is a planning tool, not an AI service.

When PAPI Pays For Itself

For a solo developer using Claude Code or Cursor: if PAPI prevents one wasted session per week (a conservative estimate), it saves more in token costs than the subscription price. For a team of 5, the math is even more favorable — fewer miscommunications, less rework, and predictable delivery cadence.

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