Most "AI software platforms" today are really one agent on a pipeline. You type a prompt, it writes some code, you paste it somewhere, you ship. It works for a weekend project. It does not work for enterprise software.
We started AlgorithmShift because the gap isn't "generate code." It's the connected graph between business intent and shipped software.
The chain that real teams ship on
Every non-trivial piece of software ships through a chain:
intent → decision → plan → work → code → value
Each link is a place where most orgs lose context, traceability, or velocity.
- A PM writes a spec. The spec lives in Notion.
- A designer mocks it up. The mocks live in Figma.
- An engineer breaks it into tickets. The tickets live in Jira or Linear.
- Code gets written. The code lives in GitHub.
- Migrations get planned. They live in a Google Doc titled "run this in prod Tuesday."
- Release notes get written after everyone's too tired to remember what shipped.
What "one graph" means concretely
On AlgorithmShift:
- A requirement is a structured document, not a Notion page.
- Approving the requirement seeds a task graph — design, schema, pages, integrations, migrations — automatically, with dependencies already wired.
- Each task runs on a specialist agent that hands off to the next by contract. The design agent doesn't just generate markup; it emits design tokens the page agent consumes.
- Migrations are first-class. Every schema change is versioned, hashed, and attached to a release.
- A release carries its code, its migrations, its stories, and its notes. Promoting to staging means promoting all four together.
- Every line of code traces back — through task → story → requirement → goal — to a company objective.
Why the graph matters more than the agents
The specialist agents matter, but they're not the moat. The moat is what runs between them.
- The design agent's output is an artifact the schema and page agents both read.
- The schema agent's hash is stored in the same ledger a release later exports SQL from.
- The reviewer's approval is a record the orchestrator consults before unblocking the next phase.
Take any one agent out and plug a different LLM in — the platform still works. Take the graph out, and you're back to manual handoffs between seven tools.
What we're not building
We're not building a vibe-coding weekend tool. We're not trying to replace your engineers. We're not pretending AI is going to write your production code without humans in the loop.
We're building the system of record for what intent exists, what it turned into, and who approved each step. AI is the labor; the graph is the architecture.
Early access
We shipped early access in April. The first customer migrated off Salesforce in 45 days — 10 of them spent building a custom extractor because SF's proprietary DB has no clean ETL path. Five more are onboarding this month. If you've got a workflow you've been meaning to rebuild but never had the appetite to staff, book a demo — we'd love to show you what the graph feels like when you're inside it.