FullSpecFullSpec
AI-native apps + agents · $5K pilot / $10K standard

AI-native apps and agents,
shipped from spec.

FullSpec turns messy business workflows into production apps, embedded agents, human approval loops, and operating systems your team can actually use.

Get your spec

Required so we can save your spec and follow up if you want the build.

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Enter name, email, and at least one sentence of workflow context to unlock generation.

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.fullspec/spec.md
idle

Spec will stream here.

Describe what you want to build. We'll return an app surface, agent workflow, data model, and 5-day plan.

Built for founders inFintechB2B SaaSDevToolsHealthtechMarketplaceClimateVertical SaaS
What FullSpec builds

Apps are the surface. Agents are the operating layer.

We do not bolt a chatbot onto a dashboard. We design the app, the agent roles, the approval loop, and the data trail as one system.

01 · AI-native apps

Interfaces where people work

Dashboards, portals, mobile workflows, internal tools, data products, and customer-facing apps built around the real job.

Workflow UIData modelIntegrationsProduction deploy
02 · Agent systems

Agents where work moves

Slack agents, email agents, research agents, revenue agents, support triage, and operator copilots with clear permissions.

Tool accessHuman approvalEscalation pathsAudit trail
03 · Transformation

Operating systems for AI delivery

Dedicated teams for companies with AI mandates: roadmap, context engine, delivery cadence, governance, and executive reporting.

Dedicated engineersAgent opsContext enginePortfolio reporting
Business context
Spec engine
App UI
Agent workers

Every serious AI workflow needs the same backbone: context, UI, tools, approval, logging, and ownership.

Two paths

Have the system built. Or build it yourself.

Same methodology. Same spec engine. Apps where humans work, agents where work moves, and specs that keep both aligned.

FullSpec Studio

We ship it for you

From $10K · apps + agents · turnkey

  • Discovery call → same-day spec
  • We run the full FullSpec Method end-to-end
  • Working app, agent workflow, deployment, owned by you
  • Same flat fee if we need an extra day to finish locked scope
  • 30-day post-ship support included
Book a discovery call
FullSpec Method

You ship it yourself

Free → Ultra · credits-based

  • Plugin for Cursor, VS Code, Claude Code
  • 9 modes · contextual specs grounded in your repo
  • Free with $5 credits · paid tiers from $20/user/mo
  • Open methodology — specs live in your repo
See plugin pricing
The 5-day playbook

Monday spec. Friday system.

Same flow every time. No discovery theater, no requirement docs nobody reads, no agent demos without the app and approval path.

  1. Day 01 · Monday

    Spec

    Discovery call. Workflow → app surface, agent roles, data model, and UX brief.

  2. Day 02 · Tuesday

    Plan + UX

    Architecture brief, screens, approval loops, agent tools. You review before code.

  3. Day 03 · Wednesday

    Build

    AI agents code and draft workflows against the spec while a senior engineer drives.

  4. Day 04 · Thursday

    Test + Guard

    Automated tests, accessibility, security review. We don't ship anything red.

  5. Day 05 · Friday

    Ship

    App, agents, repo, specs, and runbook handed over. 30-day support starts.

Why we can ship in 5 days

We use our own engine.

Every Studio engagement runs on the FullSpec Method. Each phase produces a contextual document for the app, the agent workflow, the data model, and the human approval path. AI agents execute against it. Senior engineers drive.

No estimates. No scope creep. No 6-week kickoff. Just serious workflow transformation, compressed into a scoped build.

Next.js · VercelReact Native · ExpoSupabase · PostgresCloudflareOpenAI · Anthropic
.fullspec/9 docs · 47 KB
  • idea.md
    Frame the problem
  • spec.md
    Define what we ship
  • plan.md
    Architecture brief
  • ux.md
    Screens + design tokens
  • build.md
    Agent execution log
  • test.md
    Coverage + scenarios
  • guard.md
    Security checklist
  • ship.md
    Deployment runbook
  • sell.md
    Launch brief
How we earn trust

Proof beats hype.

We are keeping the proof layer honest while the first public pilot builds are underway. Example scopes live on the work page.

Locked scope before code
Every Studio build starts with a Monday spec both sides approve: user flows, data model, integrations, acceptance criteria, and explicit cuts.
No open-ended discovery
Artifacts you can inspect
You leave with the repo plus the spec docs: idea, spec, plan, UX, build, test, guard, ship, and sell. The source of truth is yours.
Repo + 9 spec docs
Public proof as pilots ship
The first public case studies will include the scope, walkthrough, stack, and outcome. Until then, we are not presenting testimonials as proof.
Pilot case studies in progress
Pilot cohort · launching this week

First 5 builds at $5K.

We're onboarding our first 5 founders. Half price ($5K instead of $10K) in exchange for a public case study. Same 5-day playbook. Same fixed-scope process.

  • 5-day app or agent pilot, your stack, deployed and yours
  • Public case study permission
  • Direct line to the team for 30 days
  • First-mover pricing locked for any future builds
Slots
3 taken2 open
Apply by Sunday. Spec call Monday. Ship Friday.
vs traditional dev shops

We're not an agency.

Agencies sell hours. We ship operating software: the app, the agent workflow, the approval path, and the handoff docs.

Agency
FullSpec
Time to live system
3–6 months
5 days · scoped apps + agents
Pricing model
Hourly + retainer
Flat fee · scope flexes
If timeline slips
Change order, more $
Same fee · locked scope
What you get
Code + invoice
App, agents, repo + specs
Stack lock-in
Their picks
Your stack, your tools
After hand-off
More invoices
30-day free support
For companies · enterprise

AI delivery mandate. Dedicated engineers and agent systems.

For teams under pressure to transform real operations with AI: internal apps, agent workers, approvals, audit trails, and executive reporting. Annual program, dedicated context engine, and custom SDLC modes.

  • Dedicated engineers and delivery leadership
  • AI-native apps, agents, and approval loops
  • Dedicated FullSpec context engine + SSO
  • Custom modes for your QA, security, design system
  • SOC 2 + IP firewall + dedicated infrastructure
Built for teams running
  • $200K+AI delivery mandate
  • AppsWhere humans work
  • AgentsWhere work moves
  • 1Spec layer for both

Transform one workflow by Friday.

Bring a messy workflow on Monday. Walk into the weekend with the app, the agent workflow, and the operating spec.