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ChatGPT/Claude Prompt to Design Token Economics

Design a token economic model with supply mechanics, vesting, utility, staking incentives, governance, and multi-year sustainability analysis.

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Your Prompt
prompt.txt
Design token economics for DataVault Protocol, a decentralized data storage and compute marketplace with 100,000 in year one target users. The token (VAULT) serves as payment for storage, governance, and staking for data providers. Design: 1) Supply mechanics: capped with deflationary pressure supply of 1 billion tokens. If inflationary, define the emission schedule with Bitcoin-like halving every 2 years — starting at 10% of total supply per year, decaying to 1% per year (tail emission). If deflationary, define 30% of storage fees burned, unused governance proposal deposits burned burn mechanisms. 2) Token distribution: allocate across community rewards (40%), team (15%), investors (20%), treasury (15%), ecosystem fund (10%) with vesting schedules — team tokens vest over 4 years with 12 months cliff, investors vest over 2 years with 6-month cliff, community treasury unlocks on governance-approved quarterly releases. Generate a token unlock chart. 3) Utility design: storage payment, staking for provider reputation, governance voting, fee discounts for stakers — each utility creates genuine demand (not just speculation). Map user actions to token flows: user pays VAULT → 70% to provider, 30% burned; provider stakes VAULT for reputation. 4) Staking model: dual-purpose: governance + data provider collateral staking with 8-15% in year one, decreasing over time target APY — define where yield comes from (protocol fees (storage payments) and newly minted tokens) to ensure sustainability. Include lock-up tiers: 30 days (1x weight), 90 days (1.5x), 180 days (2x), 365 days (3x). 5) Governance: token-weighted voting for fee parameters, treasury spending, protocol upgrades, new feature prioritization with delegation support and quadratic voting with conviction weighting to prevent plutocracy. 6) Sustainability analysis: model token flows over 5 years — project selling pressure from unlock schedules vs buying pressure from utility, and identify periods of investor unlock cliff, team vesting completion, emission rate drops. 7) Compare against FIL (Filecoin), AR (Arweave), STORJ (Storj) and highlight differentiators.

What this prompt does

This prompt designs token economics that create real demand instead of pure speculation. You name [project_name], its [project_type], [user_base], and the [token_symbol] with its [token_purpose], and it designs supply mechanics ([supply_type] of [total_supply], with an [emission_curve] or [burn_mechanism]), distribution across [distribution_categories] with vesting, utility, staking, governance, and a multi-year sustainability analysis.

The structure works because token failures usually come from ignoring the gap between selling pressure and buying pressure. By forcing vesting schedules ([team_vesting] with [cliff_period], [investor_vesting]), [utility_mechanisms] that map user actions to token flows, a [staking_type] model with a sustainable [yield_source], governance via [voting_mechanism], and a model over [model_years] years that projects unlock-driven selling against utility-driven buying with [risk_periods] flagged, the prompt keeps the design honest to real supply dynamics. The [token_purpose] anchors everything, because a token that earns its place in the [project_type] behaves very differently from one bolted on for fundraising.

When to use it

  • You are designing a token and want utility-driven demand, not just speculation
  • You need vesting and an unlock chart that shows where selling pressure clusters
  • You want a staking model with a clearly identified [yield_source]
  • You need governance that resists plutocracy via [voting_mechanism]
  • You want a multi-year flow model that flags [risk_periods] like unlock cliffs
  • You want lock-up tiers that reward longer commitments with more weight
  • You want a comparison against [comparable_tokens] to clarify differentiators

Example output

Expect a tokenomics document: supply mechanics with an emission schedule following [emission_curve] or [burn_mechanism] rules, a distribution table across [distribution_categories] with vesting and a generated unlock chart, a utility section mapping [utility_mechanisms] to the [token_flow_diagram], a staking model with [lock_tiers] and [staking_apy] tied to [yield_source], a governance design using [voting_mechanism] scoped to [governance_scope], a sustainability analysis over [model_years] years projecting selling versus buying pressure and identifying [risk_periods], and a comparison against [comparable_tokens]. The unlock chart and flow diagram make the supply dynamics visual rather than buried in text.

Pro tips

  • Be honest about [total_supply] and [distribution_categories] percentages, since the unlock model is only as truthful as those inputs
  • Pin down [yield_source] for staking; if rewards come only from new emissions, the APY is inflationary dilution dressed up as yield
  • Use the [model_years] projection to find the [risk_periods] where investor and team unlocks stack, and design around them rather than hoping
  • Make [utility_mechanisms] create genuine recurring demand — a token only used to speculate has no buying pressure to offset unlocks
  • Tier [lock_tiers] so longer locks earn meaningfully more weight, giving holders a reason to reduce circulating supply voluntarily
  • Compare honestly against [comparable_tokens] like FIL or AR; differentiators that do not survive that comparison are marketing, not design
  • Treat the sustainability analysis as a model with assumptions, not a forecast — adoption and price are uncertain, so stress-test the inputs

Frequently Asked Questions

Does it model token price?
Not directly. It models selling pressure from unlock schedules against buying pressure from `[utility_mechanisms]` over `[model_years]` years, flagging `[risk_periods]`. Price depends on adoption and market conditions it cannot predict, so treat the output as a structural sustainability check, not a price forecast.
How does it ensure staking yield is sustainable?
By forcing you to define `[yield_source]` explicitly. If yield comes only from newly minted tokens, that is inflationary dilution, which the analysis surfaces. Sustainable designs draw `[staking_apy]` from real protocol fees, and the prompt distinguishes the two rather than assuming.
Can it handle both inflationary and deflationary tokens?
Yes. Set `[supply_type]` accordingly: inflationary designs get an `[emission_curve]` from `[initial_emission]` to `[terminal_emission]`, while deflationary designs define `[burn_mechanism]` rules. You can also combine a capped supply with deflationary burn pressure, as the default example does.
Why does it compare against other tokens?
Comparing against `[comparable_tokens]` such as FIL, AR, and STORJ grounds the design in existing models and forces you to articulate real differentiators. A design that looks identical to established tokens without a clear distinction is unlikely to attract demand it does not earn.
Engr Mejba Ahmed

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Engr Mejba Ahmed

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I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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