Built for solo founders wearing every hat and compliance officers who own the final gate. Every Claude output cites a mechanism, clears a 14-framework compliance check, and carries a confidence rubric you can hand to an auditor.
Free Starter tier, forever. 90-day Pro Trial auto-activates on install. 300 free 12-month licenses available through the Early Adopter Program.
Now on every Claude surface. Claude Code (100% fidelity) · Claude Desktop (~95% via 8 MCPs + one-command setup) · Claude.ai Web (~85% via project instructions) · Cowork (~85% via plugin).
Claude gets you 80%. The last 20% is the part that ships.
Six gaps every operator hits with an off-the-shelf LLM. Each one is a task you probably do manually today. Each one is a task Maxim does automatically, on every output.
⚠
You can't tell when Claude is guessing
Generic Claude writes with the same confidence whether it's citing a fact or making one up. Maxim tags every output 🟢 / 🟡 / 🔴 with a four-line audit trail so you know exactly what is solid and what needs a second look.
✂
Your brand voice drifts between sessions
Monday's landing page sounds nothing like Friday's follow-up email. Maxim loads your voice profile on every session and enforces it on every output, so your copy stays on-brand without you re-pasting guidelines.
📋
Compliance checks are done after the fact
You ship a spec, legal flags it, you rewrite. Maxim enforces 14 compliance frameworks — GDPR, HIPAA, PCI-DSS, SOC2, and 10 more — at generation time. Regulated outputs either clear the gate or get blocked before they leave the model.
💭
Memory resets every session
Claude's context window forgets. You re-explain your project, your customer, your stack. Maxim carries architecture, decisions, and handoff state across sessions so your second chat is sharper than your first. Your tenth is sharper still.
⚡
One generalist, not 90 specialists
Asking Claude to design a pitch deck, audit a privacy policy, and review a Go service in the same session gets you three mediocre outputs. Maxim routes each task to a specialist agent trained on its domain. You get CEO-level strategy, CTO-level architecture, CSO-level security review — from the same terminal.
🔬
Outputs look good but cite nothing
A generic LLM says "here's a landing page." Maxim says "here's a landing page applying Fogg B=MAP as the primary composition, with Prospect Theory in the CTA and pre-attentive attribute theory in the visual hierarchy." You get the mechanism, so you can evaluate the work.
Same prompts. Different outputs. Same $20/month.
Six real tasks you probably ran this week. What a generic LLM gives you. What Maxim gives you. Decide for yourself which one ships.
Scenario 1 — You ask Claude to write a launch email
Generic LLM
You get a polished email. You have no idea if it applies any persuasion framework. You edit for brand voice by hand.
Maxim
You get a polished email composed with Fogg B=MAP, Maxim's Prospect-Theory CTA, and your brand voice already loaded. Confidence tag + gaps flagged.
Scenario 2 — You ask Claude to review a privacy policy
Generic LLM
You get a general review. GDPR and PIPEDA may or may not come up. You chase the regulator for clarification.
Maxim
Claude routes to CSO · security-analyst. 14 compliance frameworks load automatically. Every clause is tagged against the relevant regulation with cited section numbers.
Scenario 3 — You open Claude two days later, same project
Generic LLM
Context window is empty. You re-paste your README, your sprint notes, your architecture doc. You re-explain who the customer is.
Maxim
Session-continuity loads your project's decisions, open handoffs, and moat claims on start. Ten drift checks run automatically. You continue, not restart.
Scenario 4 — You ship a product spec with a hallucinated library
Generic LLM
You find out in review. Or worse, in production. You rewrite the spec.
Maxim
Proactive Watch catches the reference against your dependency manifest before the spec leaves the session. Drift class: orphan-refs. Severity: 4.
Scenario 5 — You review an AI output and want to know why it was confident
Generic LLM
There's no rubric. You trust it or you don't.
Maxim
Every output ends with Basis · Gap · Mitigation · Next. You know what grounds the answer, what's missing, how to close the gap, what would change the tag. Trust becomes mechanical.
Scenario 6 — Your team uses AI but your outputs all read differently
Generic LLM
Everyone has their own prompt library. Brand voice is a Google Doc nobody opens.
Maxim
Three-layer voice system loads Maxim base, operator overlay, and startup overlay on every session. Your team's outputs sound like one team, not five freelancers.
Why Maxim
Generic LLMs sound confident at every question. Maxim tells you when to trust them.
Six reasons operators who use Claude every day install Maxim on day one. Each reason has a behavioral science framework behind it — footnoted, not shouted.
One bad AI output costs more than a year of Maxim.
A failed compliance audit. A brand voice that slips in a prospect email. A product spec that hallucinates a library. A pricing page that contradicts the contract. These cost real money, real trust, and real time to unwind. $19.99/month is what most teams spend on coffee for a week.
Installing Maxim takes one minute. Getting value takes one prompt.
Paste the install command. Hit Enter. Your very next output comes back with a confidence tag, a cited framework, and an audit trail. No retraining, no new workflow, no handoff between tools. You keep using Claude Code exactly the way you already do — the outputs just come out better.
Generic Claude hands you confident prose. Maxim hands you prose plus the behavioral mechanism it applied and the anti-patterns it avoided. You evaluate the output against the claim. You can defend it to your boss, your customer, or a regulator. It stops being a chat — it starts being documentation.
Every Maxim response ends with a four-line rubric: what grounds this answer, what is missing, what you should do to close the gap, what would move the confidence up or down. You stop guessing when to trust the model. Trust becomes a property of the output, not a property of your mood.
The free tier is a contract, not a marketing promise.
Starter is free forever. Not crippleware. Not a 30-day trap. A regression test in our build fails the release if the free tier ever silently narrows. Start free. Upgrade when the moat shows up in your work. Cancel any time.
Your second session picks up exactly where your first left off.
Claude's context window forgets. Maxim carries architecture, decisions, skill gaps, and handoff state across sessions. Ten drift checks run on every session start — docs vs code, counts vs reality, moat claims vs the ledger. Silent regressions surface before they ship, not after.
This section was composed through Maxim's own behavioral intelligence skills. Every block names the framework it applied. A tool that claims behavioral rigor should demonstrate it visibly.
The moat isn't the tools. It's what runs on top.
A generic LLM wrapper gives you prompts. Maxim gives you mechanism, citation, and a registry of anti-patterns — applied automatically.
MOAT-01
Mechanism, not vibes
Every output cites a peer-reviewed behavioral framework with author and year. Framework. Mechanism. Anti-pattern. Reviewed in SKILL.md before a pack ships.
ADR-007 · Behavioral Moat Framing Doctrine
MOAT-02
Audit trail as a feature
Confidence tags earn their color. 🟢 HIGH only when the skill matched, the framework fired, and the gap log is clean. 🟡 and 🔴 name the gap.
ADR-010 · Confidence Tag Technical Educator Rubric
MOAT-03
Compliance as enforcement
14 frameworks wired into the MCP layer. GDPR, HIPAA, PCI-DSS, SOC2, and eleven more. Not a checklist — a blocking gate on outputs that touch regulated data.
14 frameworks · mxm-compliance MCP
MOAT-04
Drift detection on every session
Ten drift classes scanned on session start. Docs vs code. Counts vs filesystem. Moat claims vs MOAT_TRACKER. Silent regressions surface before they ship.
ADR-002 · Documents as Executable Contracts
Simple ladder. Clear anchor.
Four tiers. Annual billing saves two months. Team ($249, 5 seats) and vertical overlays on the full pricing page.
Starter
$0forever
The full governance substrate. Permanent, not crippleware.
Starter is an Executable Contract, not a marketing promise.
A regression test fixture verifies the Starter feature set against filesystem reality on every build. The free tier does not quietly narrow. If a paid tier absorbs a Starter capability, the commit fails. If we ever change scope, it requires a visible ADR amendment — never a silent release note.
Starter stays free forever. In four years it becomes Apache 2.0 per BSL 1.1.
Install free. Upgrade when the moat shows up in your work.
90-day Pro Trial auto-activates on install. Keep using Starter after, or commit to Solo at $19.99.