ASPERA.BOND

Audit

Technical audit

Technical audits cover terminal coder agents, local LLMs, transformers, DiT / diffusion generation, tensors, ASIC spectrogram and encode/decode paths, and hardware superstructure. Work starts with findings, then a documented fix path.

$100 USD · typically 48 hours to one week

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Latent structure

For LLMs, code models, and local stacks such as llama.cpp / Llama class models: keep latent and data layouts addressable so the model is not fed a raw dump.

Terminal coder agents

Work on the agent shell itself: memory management, rule management, skill management, and the terminal coder path.

Transformer optimization

Transformer stacks: attention path, layer budget, and mid-span signal — tune how the model spends compute without publishing the recipe.

DiT and diffusion

Diffusion Transformer and diffusion paths for text, image, video, music, and voice generation — step locks, settle quality, modality routing.

Tensor optimization

Tensor layouts and packs shaped for the silicon you actually run — less waste between model math and device memory.

Spectrogram on ASIC

Spectral processing for voice and signal work on ASIC paths — band lanes read before transform, not one blind pipe.

Encode / decode

Custom encode and decode software for ASIC and render devices — move work onto the silicon path that owns it.

Hardware and superstructure

Hardware optimization for CPU, GPU, NPU, ASIC, and extreme render stacks — affinity, host links, and the superstructure that holds the run together.

Deep attention

Stronger selection than a wide pass so mid-prompt instructions survive — used across LLM and agent workloads.

Prompt optimization

Extra prompt layers on the model path — select, order, bound, lock — so local and remote models take the same disciplined steer.

Speculative decode across genetics

Speculative decode style — with a twist. Draft models do not have to share a family. A SAP path lets unrelated small models propose, then the large path verifies. Same idea as speculative decoding; different genetics on the draft side.

Shard dissolve decode

Shard the large model and open multi-channel lanes. Small-model words stream in as fragments and dissolve into the large body — continuous fuse, not a single draft pass.

Working system

Bond Network

Published separately from audit. Bond Network is an AI system — not an ISP or web host. Models and roles run as one mesh: Input, Planner, Master, Memory, workers, monitors, Output — local or online.

Input · Planner · Master · Memory · Coder · Decoder · Encoder · Composer · Scraper · Small monitors · Output

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What ASPERA.BOND is

aspera.bond is a program laboratory. It publishes Bond Network (multi-model AI), audit work on AI stacks, and a desktop catalog — Marine, Systems, Mesh, and Creative.

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Programs