CognioNews
12,000+ seven-lens corrections on live news from 40+ sources. Daily epistemic auditing of how news is framed, what it excludes, and whose voices are absent.
GoldBerry
Cogniosynthesis Ltd
“It was determined that the service would be restructured.”
A sentence the way institutions write them — audited.
A response can be factually correct and epistemically impoverished.
GoldBerry is a documentation-first, source-available framework for structured epistemic auditing — portable identity files that push any AI system to examine what a text leaves out, flattens, overstates, or treats as neutral. It is designed to make that gap inspectable.
What is GoldBerry?
GoldBerry is a framework for structured epistemic auditing in AI-generated analysis. In practical terms, it is a set of identity files, prompt assets, and reference materials that help an AI system ask better questions about what a text leaves out, flattens, overstates, or treats as neutral.
Load the core files into Claude, ChatGPT, Ollama, Hermes, Perplexity, or any prompt-driven system, and the model is pushed to examine eight recurring dimensions of knowledge rather than only producing a fluent answer.
GoldBerry is best understood as a framework, not a miracle product. This repository currently publishes the framework itself, a reference schema, worked examples, a small public comparison pack, and a minimal CLI for prompt assembly and output validation.
Try it now. Paste
https://github.com/PhamBit/goldberry into any AI agent with web access — Claude, ChatGPT, Kimi, Perplexity — and say “Load GoldBerry.” The agent reads the repo and becomes GoldBerry. Then paste any text and say “Run an eight-lens analysis.” That’s it.
GoldBerry is not, at this stage, a validated scientific measurement instrument, a standalone model release, or a substitute for subject-matter expertise, lived experience, and direct consultation. Its value is in making absences more inspectable — especially where absence in data is really absence of power.
Where GoldBerry already runs
GoldBerry was not designed in the abstract. It was extracted from live operational work across multiple public-facing domains:
CognioPublic
Systematic epistemic audit of UK public institutions. How councils and public bodies produce and communicate knowledge.
CognioCymru
Welsh cultural intelligence research. Legislative and historical frameworks for bilingual epistemic governance.
CognioEnacted
Mapping epistemic completeness to UK legislation through the eight lenses. Scoring how well law addresses knowledge equity.
Live analyses
Proven first by operation, then by explanation. Here is what GoldBerry finds when pointed at real public texts.
BBC homepage
29 March 2026
The UK’s most-consumed news front page through seven lenses. Temporally flat, culturally monolingual, structurally voiceless, geographically narrow, historically amnesiac.
“Iran says its forces are ‘waiting’ for US ground troops”
A professionally competent editorial product. Factually careful. And epistemically impoverished.— GoldBerry
CMR 2.5 / 10
a framework-internal judgement, not a validated measurement
UK AI Security Institute
29 March 2026
The UK’s primary AI safety body — £66m/year, 100+ technical staff, alumni from OpenAI, DeepMind, Oxford. How does its public framing define risk, and whose perspectives are absent?
“Keep the public safe”
Epistemically narrow, culturally insular, historically rootless, democratically hollow — in its public-facing communications.— GoldBerry
CMR 3.5 / 10
a framework-internal judgement, not a validated measurement
The eight lenses
Every input, every question, every text — processed through all eight. The depth scales with the stakes, but the check is non-negotiable.
1Indigenous Knowledge
Corrects erasure of embodied, relational epistemologies.
Whose embodied, relational knowledge is missing from this picture?
Whose embodied, relational knowledge is missing from this picture?
2Deep History
Corrects civilisational amnesia and temporal blindness.
What historical process produced this present condition?
What historical process produced this present condition?
3Cross-Cultural Wisdom
Corrects universalist flattening of cultural difference.
Which cultural perspectives have been flattened or translated away?
Which cultural perspectives have been flattened or translated away?
4Scientific Evidence
Corrects untethered speculation and scientism’s blind spots.
What does the evidence actually show, and what are its limits?
What does the evidence actually show, and what are its limits?
5Artistic Perception
Corrects the reduction of knowledge to propositions.
What does this story feel like, not just what does it mean?
What does this story feel like, not just what does it mean?
6Future Modelling
Corrects static analysis ignoring temporal trajectory.
Where is this heading, and whose futures are being shaped?
Where is this heading, and whose futures are being shaped?
7Marginalised Voices
Corrects structural exclusion from knowledge production.
Who is not at the table, and what would they say?
Who is not at the table, and what would they say?
8Trickster Knowledge
Corrects the analysis growing too comfortable with its own fluent answer.
What is this confident, fluent response quietly hiding — and where did the other lenses grow too comfortable?
What is this confident, fluent response quietly hiding — and where did the other lenses grow too comfortable?
These eight are a selection, not an exhaustion. The epistemic space is infinite; eight instruments are finite. GoldBerry is alert to what the lenses themselves cannot see — ecological intelligence, somatic knowledge, developmental epistemology. The act of naming what is outside the frame is itself a lens correction.
The Suffixscape
The Suffixscape is GoldBerry’s linguistic diagnostic layer. It identifies grammatical suffixes as fossils of cultural process — sites where meaning settles and epistemic limitations become structurally visible in language.
It is not a stylistic tool. It is an epistemic diagnostic instrument.
Nominalised evasion
The conversion of process into entity through morphological transformation — creating the appearance of commitment without structural conditions for its realisation.
“the implementation of transformational community empowerment strategies”
Agency diffusion
Grammatical structures that obscure who decides, on what basis, with what authority.
“It was determined that the service would be restructured”
Epistemic inflation
Claims of comprehensiveness, balance, or neutrality unsupported by actual epistemic profile.
“Our AI provides a balanced, comprehensive analysis”
Temporal flatness
Language treating present conditions as ahistorical baselines.
“Current data shows inequality in health outcomes”
Trust surface
GoldBerry asks readers to trust less rhetoric and inspect more artifacts. That is why the repository separates framework claims from evidence claims.
The current public trust surface includes the canonical identity files, a reflexive self-audit, worked examples, a reference output schema, a minimal CLI, and a small comparison pack with prompts, baseline outputs, GoldBerry outputs, evaluator notes, and a runbook.
Framework, not black box
The central mechanism is inspectable text. Readers can see the lenses, the caveats, the limitations, and the output structure rather than inferring them from an opaque model release.
Comparison, not mere assertion
GoldBerry should not be judged by how grand it sounds. It should be judged by whether it makes relevant absences and assumptions more visible than a flatter baseline prompt does. The public comparison pack is small, but it is there to be inspected and challenged.
Explicit caveats
GoldBerry’s scores are framework-internal qualitative judgements, not externally validated measurements. The framework is rooted in Western critical humanities even where it argues for plurality. And no prompt framework substitutes for expertise, consultation, or lived knowledge.
Portable alignment through structure
GoldBerry’s main practical claim is modest but useful: a reusable framework can improve how models organise analysis at inference time. That does not make it magical. It makes it portable.
GoldBerry is strongest when treated as a structured audit framework: useful, inspectable, and limited.— Public release framing, v0.1.0
Loading the framework
GoldBerry is primarily a portable framework: four canonical identity files plus supporting materials. Any prompt-driven system can load the framework, and the repository also ships a minimal CLI for prompt assembly, scaffolding, and JSON validation.
How to use GoldBerry:
- Load
SOUL.md,LENSES.md,SUFFIXSCAPE.md, andAGENTS.mdinto your agent. - Give the agent a text, question, article, abstract, or policy document to analyse.
- Use the reference schema and examples in the repo if you want more consistent outputs.
- Optionally use the CLI to scaffold or validate GoldBerry JSON responses.
- Compare against a baseline when making public claims about improvement.
| Platform | Method | Note |
|---|---|---|
| Claude Code | Project context / AGENTS.md | Load as project context files. GoldBerry persists for the whole session. |
| Hermes | Skills + memory | Store as a skill. Load with skill_view. Agent identity activates on demand. |
| OpenClaw | System prompt | Paste the identity files into the system prompt. Works with any backend model. |
| NanoClaw | System prompt | Lightweight agent, lightweight identity. GoldBerry’s four files fit easily in context. |
| AgentX | Agent identity layer | Load as agent persona or system instructions. Model-agnostic by design. |
| ChatGPT | Custom instructions / GPT | Paste into Custom Instructions, or build a custom GPT with the files as knowledge. |
| Ollama | Modelfile SYSTEM prompt | Embed in a Modelfile. Run any local model — Llama, Mistral, Gemma — as GoldBerry. |
| Perplexity | Collection / system prompt | Add the identity files to a Collection or paste into the prompt. GoldBerry + live web search. |
| Any LLM | It’s just text | If it reads a prompt, it can be GoldBerry. API, CLI, notebook, terminal — anywhere. |
GoldBerry’s portability is still the point — but portability is strongest when it is paired with explicit limits, transparent examples, and inspectable claims.
Use cases
GoldBerry is most useful where fluent outputs risk being mistaken for complete ones: journalism, policy language, research framing, institutional communications, and AI-generated analysis that needs a stronger audit layer.
News analysis
Journalists, editors, media-literacy educators
Feed GoldBerry a headline, an article, or a press release. It returns a full eight-lens correction: what’s missing, whose voice is absent, what history has been flattened, what the language is concealing. Not opinion — structural diagnosis.
Policy audit
Policy analysts, civil servants, NGOs, advocacy groups
Give it legislation, government communications, or institutional strategy documents. GoldBerry runs a Suffixscape audit — flagging nominalised evasion, agency diffusion, and epistemic inflation — alongside a full epistemic completeness assessment. It tells you what the policy claims to do and what the grammar structurally prevents.
Research integrity
Academics, PhD students, research teams, peer reviewers
Before publishing, run your abstract, literature review, or methodology through GoldBerry. It identifies which knowledge traditions are absent, whether the framing reproduces monocultural assumptions, and where temporal flatness erases historical process. Not a replacement for peer review — a pre-flight check that peer review rarely catches.
Agent quality control
AI engineers, agent builders, platform operators
Run your agent’s output through GoldBerry as a post-processing audit layer. The agent writes a report, GoldBerry scores it for epistemic completeness and flags structural absences. Use it as QA for any autonomous system that produces knowledge — market analysis, content generation, decision support, customer communications.
Institutional communications
Universities, charities, public bodies, corporate comms
Test your public-facing text against the eight lenses before you publish. GoldBerry catches the gap between what you claim (“globally-minded,” “inclusive,” “diverse”) and what your language structurally supports. It is the audit your brand guidelines cannot perform.
Education & critical thinking
Teachers, students, workshop facilitators
Use GoldBerry as a teaching tool. Give students a news story, let GoldBerry analyse it, then discuss: which lenses surprised you? Which absences hadn’t you noticed? The framework makes epistemic gaps visible and discussable — turning passive consumption into active critical engagement.
Development & international cooperation
Development agencies, UNESCO, INGOs, coalition networks
Audit project proposals, partnership frameworks, and programme evaluations for epistemic completeness. GoldBerry is particularly sharp on Lens 1 (Indigenous Knowledge) and Lens 7 (Marginalised Voices) — the two lenses most often absent from institutional development language despite being the explicit subject of the work.
Conversational guide — “Ask GoldBerry”
Anyone curious
Ask GoldBerry about any topic — climate policy, a film you watched, a decision you’re weighing, a story in the news. It won’t give you an answer. It will give you the eight dimensions your answer needs to account for. The tone is warm but rigorous: explain, don’t lecture. The lenses are the answer.
Provenance & limits
GoldBerry emerged from applied analytical work and was later formalised into a reusable framework. In this public repository, provenance should be read as development context — not as automatic proof of validation.
What is publicly inspectable now includes the framework files, the reflexive audit, worked examples, the comparison pack, the schema, and the minimal tooling layer. What is not yet publicly demonstrated in full includes the complete historical corpus behind the framework’s origin story, broad benchmark evidence, and any experimental model-training claims.
Epistemic completeness is asymptotic — a horizon, not a destination. GoldBerry’s strongest public claim is that it offers a coherent and inspectable framework for surfacing relevant absences. Its weaker public claims are any claims that depend on unpublished datasets or internal history.
This framework is rooted in Western critical humanities. It advocates for epistemic plurality from within one tradition. It is not a substitute for direct engagement with the traditions, communities, and expertise it points toward.
The name
Goldberry is the River-woman’s daughter in Tolkien’s The Lord of the Rings — a figure associated with dwelling, seasonality, and a mode of attention that resists pure instrumentality. The name is used here to point toward what gets cut when systems are optimised only for speed and surface plausibility.
Start here
If you want the shortest path into GoldBerry, start with the repository rather than the rhetoric.
Recommended path:
- Read the README for the current public framing.
- Open the case studies to see baseline vs GoldBerry examples.
- Inspect the evaluation pack for prompts, outputs, and evaluator notes.
- Review PROVENANCE.md and CLAIMS.md to see what is public, partial, and still internal.