DOC // 1NC-2026.05.MANIFESTO
REV 06 — MAY 2026

Slash 70% of conventional dev costs.
Build skills-first.

Code is the bottleneck. Skills — composable capabilities the agent invokes on demand — are the new substrate. The economics flip the moment you commit.

Velocity compounds. The trunk improves; every fork inherits. 70% less dev cost, end to end.

For founders shipping their first MVP. For dev shops productizing delivery. For enterprises wrapping the existing world.

— What changes

One number to build. Three transparent lines to run.

70%
less dev cost · build
5–10%
of build / mo · run

Skills-first means the trunk does the work, and every fork inherits weekly upgrades automatically. You own the IP. No revenue share. Export the code any time.

Get started →Find your door
70% LESS DEV COSTSKILLS > FEATURESMAINTENANCE BUILT INTRUNK IMPROVES · FORKS INHERIT100% IP OWNERSHIPNO REV SHAREWRAP, DON'T REPLACEAGENT IS THE PRODUCT70% LESS DEV COSTSKILLS > FEATURESMAINTENANCE BUILT INTRUNK IMPROVES · FORKS INHERIT100% IP OWNERSHIPNO REV SHAREWRAP, DON'T REPLACEAGENT IS THE PRODUCT
01
— The Math

Year one, conventional dev costs roughly 4× what skills-first does.

Path A — Conventional

Code-first build, conventional team

  • Build (one-time)$10,000
  • Hosting (12 mo, self-managed)~$1,500
  • Maintenance retainer (12 mo)~$12,000
  • Marketing tools / freelance GTM~$6,000
Year one~$29,500
Path B — 1nceptionAI

Skills-first build, hosted, maintained

  • Build (one-time, 70% less than conventional)$3,000
  • Server & platform (12 mo)~$2,700
  • LLM credits (pass-through, varies)~$900
  • GTM motion (mid-tier baseline)~$3,600
Year one~$10,200

The headline savings is 70% on the build. The honest year-one number, once you account for hosting, a part-time dev retainer, and the marketing tooling a code-first build never bundles, is closer to ~65% — and the gap widens every year after, because forks on our trunk compound while conventional code rots.

Get started →
02
— The Manifesto

Six tenets for the skills-first era of product development.

→ TENET 01

Skills are the unit of construction.

A feature lives in a codepath, owned by a team, shipped on a sprint. A skill lives in a registry, declared in natural language, invoked by an agent on demand. Authoring a skill is faster than authoring a feature. The bottleneck moves from engineering capacity to domain clarity — which is where the bottleneck should have been all along.

→ TENET 02

Code is the manual override.

Code still exists. It's inspectable, testable, real. But it isn't the default. It's the steering wheel you grab when autopilot needs to hand off — for custom integrations, deterministic outcomes, regulated workflows. Trust but verify. The fallback makes the front-line braver.

→ TENET 03

The agent is the product.

Stop treating AI as a feature you bolt on top of a finished product. The agent is what the customer pays for. Everything else — UI, code, dashboards — is scaffolding that exists so the agent can do its job and the human can verify the outcome.

→ TENET 04

Wrap the existing world; don't replace it.

The world has Salesforce, Workday, NetSuite, mainframes, half-broken internal APIs. Skills wrap them. The agent invokes them. The legacy stack becomes a callable surface, not a migration project. Ten years of accumulated infrastructure becomes leverage, not debt.

→ TENET 05

The trunk improves; every fork inherits.

One trunk. Many forks. When a skill gets sharper in the trunk, every customer instance inherits the upgrade automatically. Compounding leverage replaces per-customer rebuilds. This is the architectural decision that lets us charge 30% and still bake maintenance in.

→ TENET 06

Velocity compounds when you commit.

Teams that hedge — "we'll go skills-first afterv1 in code" — build a v1 that locks them out of the new path. Sunk cost wins. The org learns to ship features. The skills-first vision dies in a roadmap meeting. Commit, or don't bother.

03
— Three Doors, One Factory

Pick the door that matcheswhat you're trying to ship.

We built 1nceptionAI to ship our own products — OnePgr, Kai, and others. Then we opened the factory. The trunk is the same. The fork bends to your shape.

I
Door 01
FOUNDERS

Serious founders.
Skip the agency quote.

// 30% to build · transparent monthly to run

You have a real idea, real domain expertise, a real timeline. You were going to spend $10–25K on a freelancer or boutique agency. We deliver the same outcome — agent-native, not vibe-coded — for 30% of that quote. You own the IP. No rev share.

→ ONE-TIME · BUILD
30%
A $10K project is $3K. A $25K project is $7.5K. Includes 13 specialist agents, fork tuned to your idea, advisor anthros pressure-test, deployed on our infrastructure.
→ MONTHLY · RUN
Server & platform
5–10% of build cost. Hosting, agent runtime, trunk upgrades, maintenance.
LLM credits
Bring your own API key, or we manage and you pay credits consumed. Pass-through.
GTM motion
Baseline retainer for outbound, ads, lead-gen agents. Tiered by lead volume.
→ OPTIONAL · ADD-ONS
Partner
Pair with a human developer who babysits the system for you.
Export
Take the full code repo with build instructions. No questions asked.
II
Door 02
DEV SHOPS

Dev shops & agencies.

// fork.tune.deliver · wholesale economics

You deliver to clients. You don't want to rebuild an agent stack from scratch for every engagement. Stand on our trunk. Fork per client. White-label the surface. Inherit weekly upgrades. Bill against a factory that already runs production lines.

→ WHAT YOU GET
Multi-tenant workspace
Per-client forks with isolation, governance, and audit trail your clients trust.
White-label or co-brand
Your surface, our factory underneath. Or co-brand if it fits the engagement.
Author client-specific skills
Build proprietary skills against our trunk. Keep them yours.
→ HOW PRICING WORKS
Wholesale tiers
Per-fork pricing scales with volume. The more clients you bring, the better the unit economics. Talk to us for the rate card.
III
Door 03
ENTERPRISE

Enterprises &
product teams.

// rebuild.wrap.compound

You have a roadmap, a real codebase, real customers, and you're done shipping AI bolt-ons. Build agent-native alongside your existing stack. Wrap your SaaS, APIs, and legacy systems as skills. Keep code as the inspectable override.

→ WHAT YOU GET
Skills-first architecture
For product orgs. Skills become the unit of construction; code is the override.
Wrap your existing world
Salesforce, Workday, NetSuite, internal APIs, half-broken integrations. All callable.
Code-level inspectability
SSO, audit log export, dedicated support, fallback paths first-class.
→ HOW PRICING WORKS
Custom contract
Annual platform license + per-fork build fees + run-cost recovery. Sized to scope. Talk to engineering.
— Our Story

We built it for ourselves first.

Rajiv Saxena
Founder & CEO, OnePgr · Creator of 1nceptionAI
18+ years in enterprise software. Wharton MBA. Previously Cisco-WebEx, Microsoft, Siebel. Built OnePgr's product, then built the factory that built it.

Two years ago we started tinkering with the new agent stack — models, MCP, skills, orchestration patterns — while continuing to run OnePgr in production. Real customers. Real revenue. Real edge cases the demo videos never show.

Somewhere in the middle of the tinkering, we noticed the work had stopped being "a feature for OnePgr." It had become a way of building products. A repeatable factory. Skills that composed cleanly. A trunk that improved every week and pushed the upgrade to every fork that depended on it.

"The economics that fall out of this are wild. Once the trunk does the work, charging 30% of agency rates with maintenance built in stops being a discount. It's just the right number."

We packaged it. We called it 1nceptionAI. We used it to build new products inside our portfolio — Kai, and others — at velocities that would have been impossible six months earlier.

Now we're opening it. Three doors. Founders who would have spent $10–25K on an agency and prefer to keep the difference. Dev shops that want a factory under their delivery practice. Enterprises that have decided the bolt-on era is over. Same trunk. Different forks.

— Required Reading

Why 95% of GenAI pilots fail — and what comes next.

The Tesla analogy. The MIT data. The Gartner forecast. The architectural shift from features to skills. The case for committing to skills-first development before sunk cost decides for you.

Read the white paper →
DOC // WHITEPAPER · MAY 2026

What the 95% Failure Rate of GenAI Pilots Actually Teaches Us

By Rajiv Saxena
95%
of pilots fail. The architecture is doing more of the work than the model.
— The Door is Open

Three doors. Same trunk. Pick yours.

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