Agents that specialize
Purpose-built operators handle research, content, web, SEO, outreach, proof, and build work.
Local AI operations for real business work.
AtlasisAI is the public doorway into Atlas AIOS: a local-first operating system that runs agents, remembers context, proves the work, and only acts when the right guardrails are in place.
One operating system. Connected work.
Memory that compounds
Atlas remembers preferences, context, and results so every useful lesson carries forward.
Proof that protects
Every output is logged, checked, and tied to source or outcome before stronger actions unlock.
Gated actions by design
High-impact actions require approval, rules, and the right context before they happen.
Active runWebsite refreshIn progress
ResearchCompetitors, keywords, evidenceComplete
ContentPages, messaging, CTAsComplete
Web buildBuild, QA, deploy to stagingRunning
SEO OptimizationTechnical, on-page, schemaQueued
Proof & HandoffVerify, log, and shareQueued
Guardrails
- Budget capPer project
- ApprovalRequired for publish
- Data accessLimited, scoped
- Proof levelSources + logs
From intake to launch, on rails.
Project Factory turns work into a proven workflow so nothing important gets missed and every project stays aligned.
Explore Project FactoryIntake
Define goals, audience, scope, and success.
Plan
Assemble agents, map tasks, set guardrails.
Build
Create content, assets, site, and automations.
Optimize
Refine SEO, speed, UX, and conversions.
Launch
Deploy, verify, hand off, and monitor.
Action with evidence. Control with confidence.
Atlas keeps a verifiable trail of how work gets done so you can review, approve, and move forward.
- Source-linked outputs
- Decision logs and approvals
- Change history and versions
- Exportable audit trail
Proof recordVerified
- Output
- Homepage draft
- Agent
- Content Agent
- Source
- Research report + competitor brief
- Approved by
- Mark
- Hash
- a2f4c9b7e3d1...
What's logged
Inputs and context
Actions by agents
Outputs and results
Approvals and overrides
Playbooks for repeatable wins.
AtlasisAI packages work as scoped playbooks, not vague AI promises. Start with a proven lane, then scale when proof supports it.
AI SEO Visibility Playbook
Audit one public page, clarify the buyer path, tighten CTA/contact flow, and document what changed.
Crawl, score, repair, retest, teach.View PlaybookFollow-Up Starter Playbook
Turn one inbound path into a clean first-response and handoff workflow without sending until policy is green.
Intake, draft, review, gate, watch.View PlaybookProject Factory Launch Playbook
Move a scoped idea through ProjectSpec, build, QA, proof, and locked delivery.
Spec, build, verify, package, handoff.View PlaybookCode Intelligence Playbook
Create a safe code-reading and BuildSpec workflow for local agent teams without broad apply.
Scope, inspect, propose, test, review.View PlaybookRevenue Guardrail Playbook
Map checkout, proof, delivery lock, and customer handoff rules before changing live payment flows.
Map, protect, verify, unlock only with proof.View PlaybookCustom Agent Workflow Playbook
Define an AgentSpec, tool boundaries, proof contract, memory policy, evals, and rollback before production use.
Scope, AgentSpec, eval, package, monitor.View PlaybookSimple offers. Real flexibility.
Choose the level of support that fits how you work today, then scale as you grow.
Free AI Visibility + Workflow Review
$0
Start free when you need clarity on what is broken and which paid step, if any, is worth taking.
- Outcome: Find the first public website, offer, or follow-up leak before paying for a fix.
- What you get: A short visibility/workflow note, recommended offer path, and exact next action.
- Proof rule: Free review creates a recommendation only. It does not unlock delivery or trigger outreach.
$297 AI SEO Quick Fix
$297 one-time
Best when one page, CTA, or contact route needs a precise fix instead of a full rebuild.
- Outcome: Repair one narrow AI/search/buyer-understanding leak on a public website path.
- What you get: Page clarity review, answer-engine notes, CTA/contact-path recommendation, and proof-backed implementation packet.
- Proof rule: Paid delivery unlock requires matching Stripe proof, intake scope, and delivery checklist.
$497 AI Follow-Up Starter
$497 one-time
Best when leads arrive but the first reply, owner, or next step is inconsistent.
- Outcome: Turn one inbound path into a clearer first-response and handoff workflow.
- What you get: Lead response map, first-response structure, timing notes, and proof checklist.
- Proof rule: Drafts and workflows can be prepared; sending remains separately gated by communications policy.
$97/month Monitoring / Proof Watch
$97/month
Best after a path is working and needs lightweight recurring proof-watch.
- Outcome: Keep selected public pages, CTAs, links, and proof signals from drifting.
- What you get: Monthly findings, next-fix priorities, and proof-watch notes.
- Proof rule: Monthly work requires active subscription proof and does not publish, send, or scrape private systems.
Click to learn more.
Definitions explain the boxes, gates, agents, proof language, playbooks, and delivery rules behind AtlasisAI.
Start a conversation. Start real work.
Tell Atlas what you need help with and it will propose the right path forward.
- Business first intake
- Clear scope and next steps
- No pressure, just clarity