Agentic work needs a process, not a vibe.

ASAP stands for At Scale Agentic Production.

Taller's methodology for running hybrid human-agent teams under real delivery conditions: shared context, structured tasks, agent execution, human judgment, validation evidence, release discipline, and system learning. Individual AI usage creates output. ASAP creates reliable production.

Fast output. Broken process.

Most teams using AI today are trapped in the same loop. Paste a requirement. Get an answer. Manually check it. Move on. Repeat. That works for one person on one task. It collapses across teams, sprints, systems, and products.

The output is fast. The process around it is not.

ASAP closes the gap between what agents can produce and what enterprises can trust.

Every software era gets the process it deserves.

Waterfall

Sequential phases

Agile

Team-level iteration

SAFe

Enterprise adaptation

Vibe Coding

High output, low reliability

ASAP

Reliable agentic delivery

Methodology and platform

ASAP

The methodology for at-scale agentic production. Defines the pipeline, principles, and failure modes. Tool-agnostic—implement with your existing stack.

Open as a methodology. Any team can adopt.

Chiron

Built for hybrid teams of agents and humans. Guardrails, traceability, and repeatability built in. The recommended path—but not the only one.

Explore Chiron

Five stages. Humans at every one.

Humans lead at the front, agents lead in the middle, humans judge at the end. The pipeline prevents output collapse when agentic work scales.

01

Context Engineering

Humans lead

Goals, constraints, examples, and prior decisions are assembled into machine-readable context packets. AI collaboration agents help structure intent and produce well-formed briefs.

Without methodology: Context is pasted manually, lost between runs, inconsistent across team members.

02

Task Decomposition

Agents lead

Planner agents break goals into executable steps, identify dependencies, and sequence work. Critics challenge the plan for risks and gaps.

Without methodology: No shared task ownership. Dependencies are implicit. Agents generate tasks faster than humans can review.

03

Agent Execution

Agents lead

Executors carry out work under strict constraints. Brokers manage tools and credentials. Humans and agents work in parallel, 24/7.

Without methodology: No rate limits, no escalation paths, no credential management, no telemetry.

04

Validation & Evidence

Humans judge

Canary tests, runtime assertions, and policy gates verify correctness. Evidence is captured for compliance. Scrutiny is risk-calibrated—not applied uniformly.

Without methodology: Quality regressions without evidence. No audit trail. Senior engineers become the bottleneck.

05

Release & Learning

Humans judge

Based on validation feedback, governors adjust, plans are revised, and the loop runs again. Memory-Keeper records decisions and reasoning.

Without methodology: No decision memory means same mistakes repeated. No drift detection means gradual erosion.

What must exist to run ASAP

The capabilities required to run ASAP under real delivery conditions. Chiron provides all of them.

Shared Context Layer

Context packets persist across runs. Glossary ensures consistent terminology.

Structured Task System

Clear lifecycle states, dependency tracking, automatic escalation.

Parallel Execution

Humans and agents work simultaneously. Governors prevent collisions.

Human Influence Points

Approval gates without micromanagement. Override capability.

Validation Artifacts

Tests, evidence, logs captured automatically. Compliance built in.

Decision Memory

What was chosen, why, by whom. Rationale preserved for audit.

Pattern Libraries

Agents trained by shared standards. Output becomes predictable.

Agent Identity

Named configurations with track records. Trust accumulates over time.

Gradual transformation

Adoption is safe and incremental. More control, more trust, less risk at every stage.

01Getting started

Tool

Individual developers use AI tools independently. No shared context. Outcomes depend on operator skill.

ControlManual oversight
TrustTrust individual tools
02Structured workflows

Assisted

Teams use AI within defined workflows. Context is shared, prompts are templated. Humans still set the pace.

ControlStructured review points
TrustTrust repeatable workflows
03Human + agent teams

Hybrid

Humans and agents work in parallel. Roles are standardized. Trust enables lighter verification. 24/7 execution.

ControlGovernor-mediated autonomy
TrustTrust the platform’s guardrails
04Self-tuning systems

Reflexive

The system tunes itself within guardrails. Policies adapt based on outcomes. Full transparency, enterprise-wide.

ControlPolicy-driven self-adjustment
TrustTrust the system’s self-governance

Start with the methodology.
Scale with the platform.

ASAP can be adopted as a methodology. Chiron makes it operational.