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Document / ATLAS-ARCH-01 · Dark Technical · Homepage Figure
Status / Fictional system · Revision / 08
Distributed intelligence architecture

The system architecture diagram became the website.

ATLAS coordinates AI agents, models, tools, memory systems, evaluation services, and external data sources through a controlled orchestration layer. The interface is organized like architecture documentation: references, schedules, routing detail, execution sequence, and revision records.

Technical clarity comes from hierarchy, construction lines, schedules, and references — not glow, not spectacle, and not dashboard shorthand.

Primary technical figure

System architecture

Select a component in the figure to inspect it. The selected object strengthens its outline, reveals associated callouts, exposes related construction lines, and updates the specification detail.

FIG. A-01 / ATLAS DISTRIBUTED EXECUTION ARCHITECTURE
Interactive object inspection enabled
Primary figure / distributed execution path Pan horizontally on mobile to inspect full figure
ATLAS distributed execution architecture A vertical system architecture diagram showing user request, orchestrator, agent layer, tool layer, memory and context, model router, and output, with technical callouts and connector lines. FIG. A-01 ATLAS / REV 08 USER REQUEST ING-01 / REQUEST NORMALIZATION ORCHESTRATOR ORCH-01 / TASK ROUTER · POLICY CONTROLLER LAYER A / AGENT LAYER Research Agent AGT-R1 Planning Agent AGT-P1 Execution Agent AGT-X1 Review Agent AGT-V1 LAYER B / TOOL LAYER Search TOOL-04 Code TOOL-07 Files TOOL-02 APIs TOOL-09 MEMORY / CONTEXT MEM-02 / CONTEXT STORE · RETRIEVAL PRIORITY MODEL ROUTER ROUT-01 / CLASS SELECTION · BUDGET CONTROL OUTPUT RESP-01 / VERIFIED RESPONSE 01 / TASK DECOMPOSITION Break request into agent-sized tasks, constraints, and goals. 02 / CONTEXT ROUTING Budgeted context allocation by source, priority, and recency. 03 / TOOL EXECUTION Connectors execute under scoped policy and audit rules. 04 / MEMORY WRITE Persist working state, retrieval evidence, and output cues. 05 / RESULT VERIFICATION Review and evaluation separate checking from generation.
Engineering schedule

System specification

This schedule treats services as an engineering system rather than a set of decorative metrics. Selecting components in the architecture highlights related service entries below.

SERVICE ROLE STATE LATENCY REV
ING-01 REQUEST NORMALIZATION ACTIVE 04 MS R12
ORCH-01 TASK ROUTER ACTIVE 42 MS R08
AGT-R1 RESEARCH AGENT ACTIVE 63 MS R12
AGT-P1 PLANNING AGENT ACTIVE 51 MS R11
AGT-X1 EXECUTION AGENT ACTIVE 47 MS R10
AGT-V1 REVIEW AGENT ACTIVE 78 MS R09
TOOL-04 WEB CONNECTOR STANDBY R03
TOOL-07 CODE CONNECTOR ACTIVE 35 MS R06
TOOL-02 FILE CONNECTOR ACTIVE 12 MS R04
TOOL-09 EXTERNAL API CONNECTOR ACTIVE 59 MS R05
MEM-02 CONTEXT STORE ACTIVE 18 MS R11
ROUT-01 MODEL ROUTER ACTIVE 24 MS R08
EVAL-01 RESPONSE REVIEW ACTIVE 78 MS R05
RESP-01 RESPONSE ASSEMBLY ACTIVE 09 MS R08
Schedule / SYS-SPEC-08 Active selection highlights related services
Step sequence language

Execution detail

One request moving through the system. Each stage receives an explicit reference, execution role, and system metadata, making the chain legible as a procedure rather than an animation.

Request

“Compare regional manufacturing trends.”

Sequence / EX-114 · Path / Research + Review
01
RECEIVE ING-01 · REQUEST NORMALIZATION
State / ACCEPTED
Latency / 04 MS
Inbound request is parsed, associated with a runtime policy profile, and stamped with an execution envelope.
02
DECOMPOSE ORCH-01 · TASK ROUTER
State / ACTIVE
Latency / 42 MS
The orchestrator separates the prompt into sub-questions, selects agent responsibilities, and allocates initial context budget.
03
RETRIEVE AGT-R1 + TOOL-04 + MEM-02
State / ACTIVE
Latency / 84 MS
Research tasks query external sources, inspect retained context, and return evidence candidates with source-level references.
04
ANALYZE AGT-P1 + AGT-X1 + ROUT-01
State / ACTIVE
Latency / 116 MS
Planning and execution agents synthesize evidence, compare regional signals, and route computation to the appropriate model class.
05
VERIFY AGT-V1 + EVAL-01
State / REVIEW
Latency / 63 MS
Verification is handled outside the execution path to check grounding, structure, source completeness, and response policy compliance.
06
SYNTHESIZE RESP-01 · OUTPUT ASSEMBLY
State / COMPLETE
Latency / 27 MS
Approved output is assembled, final references are attached, and the response leaves the system as a verified result package.
Allocated range schedule

Context window

Context is represented as a measured system allocation rather than a modern chart. The range shows how the active context budget is distributed across system rules, user input, retrieval evidence, working context, and response budget.

DETAIL B-02 / CONTEXT ALLOCATION RANGE
Total context budget / 128k tokens
SYSTEM 12% · 15.4k tokens
USER 18% · 23.0k tokens
RETRIEVAL 31% · 39.7k tokens
WORKING CONTEXT 24% · 30.7k tokens
RESPONSE BUDGET 15% · 19.2k tokens
SYSTEM Policy, routing instructions, execution constraints.
USER Primary request text, clarifications, task parameters.
RETRIEVAL External evidence, memory retrievals, linked documents.
WORKING CONTEXT Intermediate plans, tool results, synthesis notes.
RESPONSE BUDGET Reserved space for final assembly and citations.
Detail C-04

Model router

ATLAS does not route everything to one model class. The router evaluates task depth, modality, tool dependency, context demand, and response budget before choosing a path.

DETAIL C-04 / MODEL ROUTER
MODEL ROUTER Chooses a model class by task type, context demand, latency budget, and verification requirements.
01 / PRIORITY · TASK DEPTH
02 / PRIORITY · MODALITY
03 / PRIORITY · TOOL DEPENDENCY
04 / PRIORITY · CONTEXT SIZE
05 / PRIORITY · LATENCY BUDGET
Architecture record

Revision history

Changes are recorded as architecture documentation. This preserves what was modified, when it was modified, and who verified the current system state.

REV DATE CHANGE VERIFIED BY
08 AUG 14 ROUTING POLICY UPDATE SYSTEM
07 AUG 02 MEMORY PRIORITY MODEL QA
06 JUL 21 EVALUATION PATH SYSTEM
05 JUL 08 EXTERNAL CONNECTOR SCOPE OPS
04 JUN 24 LONG-CONTEXT ROUTING CLASS ARCH
03 JUN 12 REVIEW AGENT INSERTED INTO OUTPUT PATH QA
Revision block / ATLAS-REV-08 Current active architecture / revision 08
Conventional prose

What ATLAS is

The site uses technical drawing logic, but the product itself should still be understandable in plain language.

Architecture for AI systems, not just AI outputs.

ATLAS is a fictional infrastructure platform for operating AI systems that are composed of more than one model call. It coordinates incoming requests, breaks work into steps, dispatches specialized agents, manages tool access, allocates context, chooses model classes, and routes completed work into a separate verification path before the response is returned.

Orchestration matters because modern AI products are not single prompts. Useful systems have to decide what kind of work is being asked for, which tools are allowed, what information should be retrieved, how much context should be consumed, and when an answer should be checked before it is shown to a user. Without orchestration, those decisions are buried in application code and are hard to inspect or improve.

Context moves through ATLAS as a budgeted resource. User input, system rules, retrieval evidence, working memory, and response space all compete for a finite context window. ATLAS makes those allocations explicit so that teams can reason about quality, latency, and failure modes instead of treating context as an invisible implementation detail.

Verification is separated from execution because generation and checking are different jobs. Execution is responsible for producing candidate work. Verification is responsible for evaluating that work against evidence, structure, and policy. Keeping them separate improves traceability and makes it easier to change standards without rewriting the whole execution path.