For software teams working with AI
AI can make each specialist faster. The bottleneck moves to the gates between them.
Give every specialist a team of agents and each stage can produce more, faster. That does not automatically increase the flow of the whole delivery system. Tickets, designs, code, tests, and decisions still converge on human review gates, where queues grow and context has to be rebuilt. Loft gives people and agents one human-ratified product contract: a structured specification of what the product should do, what constrains it, who may change it, and what evidence matters for acceptance.
Local acceleration can slow the whole delivery system.
Adding agents to each existing role speeds up work inside that role. It does not automatically improve the transition from product design to architecture, implementation, testing, and acceptance. More local output can create a larger queue at the next human gate.
Each role builds private context
A product manager's agents, coding agents, and testing agents can each work from a different interpretation of the same product. Their transcripts and local instructions do not create shared organizational intent.
Handoffs carry output without enough intent
The next specialist receives tickets, designs, code, or test results, then has to reconstruct the decisions, constraints, and acceptance basis behind them.
Human gates absorb the extra volume
Faster specialist-and-agent loops send more work into review and approval points that still depend on senior people rebuilding context and resolving ambiguity.
How Loft works
Give every role and agent the same product contract.
The contract can connect capabilities, requirements, components, constraints, quality targets, architecture decisions, vocabulary, acceptance criteria, and evidence for the selected scope. Specialists add work from their own discipline instead of creating separate versions of the product, and teams propose and review changes as the product evolves. Coding agents implement from one approved version, or a reviewed snapshot of a proposed change, and the result is checked against that same version, so it can be judged against what people actually approved.
People designated by the customer decide and ratify product intent. Loft records the accepted state, proposed changes, decision history, authority, acceptance criteria, and linked evidence. Loft does not decide product truth or treat submitted evidence as proof by itself.
See how Loft worksSpecialists keep their expertise and share the same contract.
Product and domain specialists
Define outcomes, business rules, vocabulary, priorities, and acceptance conditions. Their agents help develop the product intent in more detail without turning a private workspace into the organizational contract.
Architects and engineers
Add technical constraints and decisions, then use coding agents to implement the approved scope. Their work remains connected to the intent it is meant to realize.
Testing and assurance specialists
Define independent scenarios, map executable evidence, and preserve failures or gaps instead of treating any passing test as complete proof.
Authorized product owners
Ratify changes to the contract and decide whether the implementation evidence is sufficient for acceptance.
Take one product contract through implementation, evidence, and a human decision.
Author
Define or recover intent, requirements, constraints, decisions, acceptance criteria, sources, and known gaps for the bounded change.
Ratify
Customer-designated people approve the version of the contract that will govern the work.
Implement
Loft's packaged agent skills give a coding agent the approved contract, affected scope, and implementation obligations. The agent changes the selected repository and runs the engineering workflow.
Reconcile
Reconciliation checks the implementation revision, test results, measurements, and other evidence against the approved contract, and shows what the evidence supports, what failed, what is missing, and what it cannot settle.
Decide
An authorized person reviews the result and evidence, then accepts, rejects, or reopens the work.
Start with a new product or an existing system.
New product
Establish the intent, constraints, decisions, and acceptance criteria for one product area before or alongside implementation. Update the contract through reviewed changes as the team learns.
Existing system
Treat code, tests, documents, runtime observations, and expert knowledge as evidence. Resolve conflicts and ratify the intended behavior for one area before people or agents make a consequential change.
A practical place to start
Choose one product area with a result people can judge.
A first engagement takes one consequential capability, workflow, service, API surface, or change through the complete Loft loop, from the first draft of the contract to a human acceptance decision.
An API or MCP interface may be part of the implementation. It is not the outcome by itself.
Explore the first engagementFor delivery organizations
Put customer authority into the delivery method.
Loft is exploring work with software delivery firms, consultancies, systems integrators, and implementation teams. Loft supplies the reusable product layer, including the Loft loop. A delivery organization brings customer context and implementation capacity. The customer retains domain authority and makes the final acceptance decision.
Learn about the partner pathLonger-term direction
Connect product decisions, software production, and operational evidence.
Current Loft already connects an approved product contract to bounded implementation and reconciliation. The Software Plant vision extends the same loop with the Yard and Berth pillars for broader production coordination and operational feedback. Yard and Berth are not products offered today.
Read the visionBring one product area or workflow worth making explicit.
Share a high-level, non-confidential description of the product context and where intent, authority, review, or acceptance is getting difficult. We will acknowledge the inquiry and work with you to decide whether a bounded first conversation makes sense.