Docs page brief — Agents4.fun (FWA-style)
Brief · 2026-06-30 · companion to task a4f-docs
The ask: build a structured documentation page for Agents4.fun, modeled on fwa.fun/docs, written for our product — whitelist + sweepstakes + agentic on Ethereum, with NFTSweeps mechanics folded in. See the FWA protocol review (research, filed private) for the source material and the borrow-ideas, and the existing case-study task for product framing.
What to build
A real docs surface (FWA-style information architecture), not marketing copy — clear, sectioned, explains how the product works and the rules of play. Mirror FWA’s sections but write each one for Agents4.fun.
Proposed sections (map from FWA’s IA)
- How it works — the core loop end to end (open → enter → close → draw → distribute), written for whitelist + sweepstakes.
- Positions & odds — how entries map to odds; weighting/tiers; what determines your chance.
- Pricing & allocation — entry pricing, allocation of whitelist spots / sweepstakes slots.
- Settlement — what happens on the draw; outcomes for winners and non-winners (consider an FWA-style buyback/floor so a non-win isn’t worthless — mark as a design option, not committed).
- Fees & rewards — protocol rake, fee-share to participants, reward mechanics.
- Token — if/how a token ties to real protocol revenue / buy pressure (not inflationary emissions).
- Safety — randomness source (VRF or our on-chain PRNG from the DePunks lineage), fairness guarantees, audits, admin surface.
- Parameters — the tunable knobs (round length, tiers, fees, caps).
- Roles — who does what (entrants, operators, agents, protocol).
Notes
- Fold in NFTSweeps mechanics explicitly — this docs page is where the merged product is described in full.
- Lean into the agentic differentiator: a roles/automation section FWA doesn’t have (agents that price odds, manage entries, run round ops).
- Keep it honest and rules-first — this doubles as the spec the case study points at.
- Relates to: a4f-case (case study rewrite) and the FWA research doc.