ParliAI
AI Council Decision Platform. Gather structured input from multiple AI models, synthesize arguments, and surface consensus to break through group decision paralysis.
Try ParliAI →
AI Council Decision Platform. Gather structured input from multiple AI models, synthesize arguments, and surface consensus to break through group decision paralysis.
Try ParliAI →
ParliAI is not a collaboration tool for humans in the traditional sense. It is a multi-model AI debate engine: you pose a decision, and councils of AI models from Anthropic, OpenAI, Google, and xAI argue it out, surfacing consensus and conflict. This is genuinely useful for solo decision-makers or small leadership teams who want to stress-test a choice against multiple reasoning styles before committing. If you are looking for a tool where your actual team members submit positions and vote, this is not that. It is closer to having a panel of AI advisors on retainer, and at $5/month for the entry tier, the cost of admission is low enough to justify experimenting.
Credit-based system. Decision complexity determines credit cost. Taxes may apply on top of listed prices.
Mini
$5/mo
5,000 credits
Starter
$19/mo
20,000 credits
Pro
$48/mo
50,000 credits
Ultra
$95/mo
100,000 credits
The per-credit cost drops as you scale: $1.00/1K credits on Mini, $0.95/1K on Starter, $0.96/1K on Pro, and $0.95/1K on Ultra. The savings between tiers are marginal. Pick based on volume needs, not unit economics.
Assemble councils from models across Anthropic, OpenAI, Google, and xAI. Each model brings different reasoning tendencies, which means you get genuine diversity of perspective rather than one model's blind spots repeated.
Models do not just give one-shot answers. They engage in structured multi-round debates, responding to each other's arguments. This surfaces nuances that a single prompt to a single model would miss entirely.
Not every decision needs a full council. The fast chat mode lets you query a single model quickly for simpler questions, conserving credits for the decisions that actually warrant multi-model deliberation.
Every decision comes with a full record of which models said what, how consensus was reached, and where disagreements persisted. This is critical for teams that need to justify decisions to stakeholders after the fact.
Save council configurations for recurring decision types. A product strategy council might weight Claude and GPT differently than a technical architecture council. Presets eliminate setup friction for repeated workflows.
The platform synthesizes outputs to highlight where models agree and where they diverge. Instead of reading four separate responses and doing the comparison yourself, ParliAI does the analytical heavy lifting.
If you are making high-stakes decisions without a sounding board, ParliAI gives you structured opposition. It is not a replacement for human advisors, but it is a fast way to identify blind spots in your reasoning before you commit to a direction.
Before bringing a proposal to the full team, run it through a council to pre-surface the strongest counterarguments. This tightens your pitch and helps you prepare for the objections that will inevitably come up in the room.
If you regularly compare model outputs across providers, ParliAI structures that comparison. Instead of juggling four browser tabs with four different chat interfaces, you get a unified debate format with side-by-side reasoning.
When you need to present multiple perspectives on a client decision, the audit trail feature gives you a structured deliverable. The council output can serve as a starting point for a recommendation memo, complete with documented pros and cons.
It is AI debating AI, not humans debating
The name and framing suggest group decision support for teams, but the actual product is a multi-model AI council. Your human stakeholders are not submitting positions here. If you need actual stakeholder input collection and synthesis, this is not the right tool.
Credit system is opaque
The difference between "express," "standard," and "premium" decisions is not immediately clear from the pricing page. A premium decision costs roughly 20x more credits than an express one. Without understanding what triggers each tier, budgeting is guesswork until you have used the tool for a billing cycle.
No free tier
There is no free plan to test the waters. The $5/month Mini plan is cheap, but requiring payment before you can evaluate the core experience will turn away some potential users. A trial with a handful of free decisions would go a long way.
Tier savings are negligible
The per-credit cost barely changes between Mini ($1.00/1K) and Ultra ($0.95/1K). There is almost no volume discount incentive to commit to a higher tier upfront. You are essentially paying linearly for more capacity.
No integrations beyond model providers
ParliAI connects to Anthropic, OpenAI, Google, and xAI for model access, but there are no integrations with project management tools, Slack, Notion, or any workflow where decisions actually get implemented. Outputs stay inside ParliAI unless you copy them out manually.
Assemble an AI council and get structured debate on your toughest calls.