AIInformants · global AI intelligence for everyday life

Global AI intelligence for everyday decisions

AIInformants builds AI apps, honest comparisons, and product recommendations that make daily work smoother. Start with Stack Fit, our routing wedge, then explore the growing Labs suite.

Explore all Labs

Free onboarding, then 50 credits/moNo card to startCancel anytimeCredits refunded on workflow failure

Built for trust · early beta

  • Claims audited against live product
  • Credits enforced server-side
  • Refunds on workflow failure
  • Cancel anytime via Stripe billing
  • 8 live Labs workflows · counts derived from config

Live platform activity

  • 6

    Competitive Intel runs

  • 3

    Market scans run

  • 22

    Labs outputs saved

Also included in the platform

  • 8

    Live Labs tools

  • 10

    Vendor comparisons

  • 52+

    Curated directory

  • Free tier

    Stack Fit included

We stopped paying for two overlapping AI subscriptions once Stack Fit mapped each function to one primary tool.

Illustrative beta pattern · anonymised Head of Ops, fintech

Illustrative beta pattern · anonymised · not a paid endorsement

Verified founder·I built Stack Fit after defaulting to ChatGPT for jobs where Claude or Perplexity was cl Verify company

What AIInformants is

AI intelligence products for everyday life

AIInformants builds AI apps and platforms that solve real problems: smarter recommendations, honest comparisons, and Labs tools that help you pick and standardise the right AI products for your work.

Stack Fit is where most people start: one run routes your job to the right platform. From there, Market Scanner, Competitive Intel, and Team Playbook compound into a documented standard. More intelligence products are on the way.

01

Build

AI apps and platforms that solve specific problems

02

Recommend

Directory, comparisons, and routing to the best product for the job

03

Compound

Labs workflows that turn decisions into team standards

Early user outcomes

Verified founder + beta cohort results

One verifiable founder use case, plus anonymised beta patterns from Stack Fit and Competitive Intel runs. Dollar and time figures on beta cards are illustrative — not logged outcomes. Not paid endorsements.

Warren Chris Bulime

Verified

Founder

AIInformants, Inc. · Delaware C-Corp

I built Stack Fit after defaulting to ChatGPT for jobs where Claude or Perplexity was clearly better. Documenting the routing removed six months of guesswork.

Dogfooding Stack Fit weekly · $0 duplicate subs on my stack

Run Stack Fit free →

Sarah M.

Illustrative

Head of Ops

Series A fintech · London

Stack Fit cut our AI spend from four overlapping subs to one primary per function. Team Playbook ended six months of Slack debate.

Illustrative · ~$40/mo saved · 4 tools → 3 primaries

Run your own →

Tom R.

Illustrative

Solo founder

Dev tools · bootstrapped

I was paying for ChatGPT Plus and Copilot with no written rule for when to use which. One Stack Fit run gave me Cursor for code and ChatGPT for copy only.

Illustrative · ~$20/mo saved · 2 subs → 1 coding primary

Run your own →

Priya S.

Illustrative

Product lead

B2B SaaS · 80 people

Competitive Intel beat three hours of tab-hopping. We picked Claude for long-context teardowns and kept Perplexity for live citations only.

Illustrative · ~3 hrs/week saved · vendor pick documented

Run your own →

Team Playbook

The part that compounds

Stack Fit tells one person which platform to use. Team Playbook turns saved Stack Fits into one org-wide standard: documented, shareable, and enforced.

Each week you add a run, the standard gets sharper: fewer duplicate subscriptions, less "which AI do we use?" in Slack, and a playbook new hires can read on day one. The routing is the entry point; the compounding standard is the outcome.

Build your playbook →

How it compounds

  1. 1

    Run Stack Fit

    Route by job, stakes, and constraints

  2. 2

    Save to Library

    Every decision is retrievable

  3. 3

    Roll into Playbook

    One standard for the whole team

Week over week

More saved Stack Fits → clearer roles → fewer wrong-tool defaults. The standard gets more valuable each time you run the loop.

The Monday stack review

One weekly habit, not eight random tools.

Most teams fail at AI adoption because everyone picks a different default. This loop gives you one repeatable workflow. Track it on your dashboard scorecard.

Track your weekly loop on the scorecard →

Before you ask

Why not just use ChatGPT?

Fair question. ChatGPT is great for one-off chat. AIInformants is built for recurring stack decisions: routing, comparison, and team standards.

ChatGPT already answers my questions

ChatGPT gives generic advice. Stack Fit routes by job type, stakes, workplace constraints, and budget, then links tools from our curated directory.

I can paste headlines into Claude

Market Scanner turns on-site headlines into a structured briefing — trends, watch list, and actions — and feeds your weekly loop. Outputs save to library automatically.

Why pay when AI is free elsewhere?

Prove your weekly stack loop free — no card required. After onboarding: 50 credits/month — enough for about 6 Stack Fits or 1 full weekly workflow. You pay when stack decisions repeat every week and wrong-tool cost exceeds $19.

How is this different from a news site?

News tells you what happened. Labs tells you which platform to use, which vendor to pick, and documents the standard for your team.

Before you pay

Prove the weekly loop on Free first

One avoided duplicate subscription (ChatGPT + Copilot + Claude ≈ $60/mo) pays for Pro 3× over.

Free tier covers

  • New accounts: first 4 Stack Fit runs or 3 full weekly workflows (Market Scanner + Stack Fit + Competitive Intel) at zero credits.
  • After onboarding: 50 credits/month — enough for about 6 Stack Fits or 1 full weekly workflow.
  • All outputs saved to My Library — Copy markdown · print to PDF · paste into Notion or Google Docs
  • Stack Fit + Competitive Intel on GPT-4o
  • No credit card to start

Upgrade when

  • You run Stack Fit or Intel more than twice a week
  • Your team needs a documented playbook, not ad-hoc chat threads
  • Wrong-tool subscriptions cost more than $19/mo in overlap
Free onboarding, then 50 credits/moNo card to startCancel anytimeCredits refunded on workflow failure
Start free, no card required

Discover more

Directory & comparisons

Head-to-head guides and 50+ tools in the directory, when you need depth before you run Stack Fit.

Tool spotlight

Claude logo

Claude

Claude is Anthropic's AI assistant known for long-context reasoning, careful writing, and strong document analysis. It excels at summarizing lengthy PDFs, reviewing contracts, drafting policy memos, and pair-programming with developers. Claude Projects let teams organize files and conversations around specific workstreams. With emphasis on helpful, harmless responses, Claude is popular among researchers, legal teams, and product managers who need nuanced, structured output without sacrificing clarity or accuracy in professional settings.

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