Methodology & Standards

Editorial
Standards

How we select, verify, frame, and publish · Agentic Workflow v1.0

Document reference: DAL-EDITORIAL-001 Effective: 15 April 2026 · Workflow: Agentic v1.0
§ 01 — Mission

What this publication is for

The Daily African Lens exists to provide timely, rigorous, and independently produced intelligence on artificial intelligence, machine learning, and data science developments across all 54 African Union member states. We cover the continent not as a monolith but as 54 distinct jurisdictions — each with its own policy environment, infrastructure conditions, funding ecosystem, and AI adoption trajectory.

Our purpose is to reduce information asymmetry. Africa's AI story is covered inconsistently by international media, with Nigeria, Kenya, South Africa, and Egypt receiving the majority of attention. Our mandate is broader: to track signal across every AU member state, surface developments that would otherwise go unreported internationally, and synthesise that signal into structured intelligence that is useful to policymakers, investors, researchers, practitioners, and the informed public.

54
Nations
All African Union member states in scope
20
Max items
Per daily edition, ranked by significance
4
Source tiers
From wire services to academic output
7
Agents
Agentic workflow components
§ 02 — Publication series

The two series and their structures

The Daily African Lens publishes two distinct series, each with a defined structure, cadence, and reference format. Both are archived permanently at this site.

Daily African Lens (DAL) — daily at 6:00 AM SAST
Format: DAL-[YY]-[NNN] e.g. DAL-026-088
Window: 24-hour SAST coverage window
Cap: Maximum 20 ranked items per edition
Scope: All 54 AU member states
Focus: AI · ML · Data Science · Digital Policy
Ranking: By continental significance, not recency
AI Weekly Intelligence (AIW) — every Tuesday at 6:00 AM SAST
Format: AIW-[YY]-[NN] e.g. AIW-026-06
Window: Tuesday 06:00 → Tuesday 05:59 SAST
§ 01: Executive Summary — 10 signals
§ 02: Key Developments + 2nd-order effects
§ 03: Market & Business Signals
§ 04: Strategic Insights — 3 macro themes
§ 05: Opportunities — actionable
§ 06: Risks & Threats
§ 07: Events Watch
§ 08: Intelligence Close
§ 03 — Source tier methodology

How we classify and weight sources

Every claim in every edition is sourced to a specific publication and date, displayed in the edition's source line. Sources are classified into four tiers. Higher-tier sources receive greater weight in story selection and ranking decisions. Where multiple tiers cover the same story, we cross-reference across tiers before finalising our treatment.

T1
Wire
International wire and broadcast services
Reuters, BBC, AFP, Bloomberg, Associated Press
Highest editorial standards, global distribution networks, experienced Africa desks. Tier 1 coverage of an African AI story is treated as a continental significance signal in itself — international wire pickup indicates the story has crossed a threshold of global relevance.
T2
Specialist
African technology and business media
TechCabal, ITWeb, Connecting Africa, TechAfrica News, Disrupt Africa, Business Tech, Ecofin Agency, Morocco World News, North Africa Post, Africa Intelligence Brief
The primary tier for African tech coverage. These publications have on-the-ground editorial knowledge, source relationships, and specialist domain expertise that Tier 1 services rarely match for African AI stories. Tier 2 is our editorial workhorse.
T3
Institutional
Government, regulatory, and institutional sources
Government gazettes, regulatory authority publications, AfDB, World Bank, IMF, AU Commission, NEPAD, UN ECA, company press releases and investor communications
Primary sources for policy and regulatory developments. A Government Gazette entry (e.g. South Africa's AI Policy gazette) is treated as definitive for the policy fact it establishes, regardless of whether Tier 1 or 2 media have covered it. Tier 3 sources are used directly for policy, investment, and institutional announcements.
T4
Academic
Research, academic, and civil society output
Peer-reviewed journals, university research centres (DAIR Institute, Masakhane, Deep Learning Indaba), think tank reports, civil society research publications
Used for longitudinal context, empirical grounding, and research findings. Tier 4 sources anchor the "second-order effects" and "strategic insights" sections of AI Weekly reports. We distinguish between pre-prints and peer-reviewed publications and note the distinction where relevant.
§ 04 — Selection and ranking criteria

How stories are chosen and ordered

The 20-item cap on daily editions is a deliberate editorial constraint. It forces prioritisation over comprehensiveness — we rank by continental significance, not by recency or volume. A story about a $1.28 billion AI infrastructure commitment in Morocco ranks above a product launch announcement regardless of which broke first.

The criteria applied to every candidate story are as follows:

C-01

Continental significance

Does this development affect AI adoption, governance, infrastructure, or investment across more than one country, or does it set a precedent with pan-African implications? Stories with continental reach rank above nationally contained stories of equivalent prominence.

C-02

Capital magnitude

Investment commitments, funding rounds, and infrastructure deals are ranked in part by their scale. A R7.5 billion data centre commitment (Equinix, South Africa) and a $1.28 billion AI factory MoU (Nexus, Morocco) are tier-one stories. A $500K seed round is context, not a lead item.

C-03

Policy and regulatory moment

Legislative milestones — gazetting, passage, deadline, consultation close — are treated as discrete events with permanent archival value. A policy that fails to pass its deadline is as significant as one that does; both represent a moment in the continent's AI governance trajectory.

C-04

Second-order effect potential

We explicitly model what a development implies beyond its immediate facts. A fiber investment approval is significant not just as infrastructure spending but as the enabling layer for AI service delivery. Stories with high second-order effect potential rank above stories that are significant in isolation only.

C-05

Geographic distribution

We actively work against the tendency to over-index on South Africa, Nigeria, Kenya, and Egypt. Where a story from a less-covered AU member state meets the significance threshold, it is included. We track nation coverage across editions to identify systematic gaps.

C-06

Source tier confirmation

A story covered only by a single Tier 3 press release and not yet confirmed by Tier 1 or Tier 2 reporting is included with appropriate qualification. We note the source tier and, where possible, cross-reference before ranking highly. We do not wait for Tier 1 pickup before covering a significant African story — that would systematically disadvantage less-internationally-covered nations.

§ 05 — Attribution and paraphrasing policy

How we handle source material

Every edition of The Daily African Lens carries a footer note: "All summaries are paraphrased editorial originals — no verbatim reproduction of source material." This is not boilerplate. It describes a deliberate production standard that applies to every item in every edition.

The standard in practice: We do not quote source articles. We read, assess, and rewrite — expressing the substance of what a source reports in our own editorial voice, with attribution to the source. The source line at the end of each item (e.g. "TechCabal · Morocco World News — 14 April 2026") identifies where we drew the information, but the text above it is original to this publication.

This approach serves three purposes: it respects the intellectual property of the publications we draw from; it ensures our analysis and framing are genuinely ours rather than aggregated fragments; and it produces a more useful output — one that synthesises across multiple sources rather than excerpting from one.

Where a direct quote from a primary source (a government official, a company statement, a research finding) is material to the story, we may use a brief attributed quotation with clear sourcing. This is the exception, not the standard mode of reporting.

Source lines in our editions follow the format: [Publication(s)] — [Date range]. Where multiple Tier 2 sources covered the same story, all are listed. Where a Tier 3 primary source (a government gazette, a company announcement) is the origin, it is listed by name and document reference where available.

§ 06 — Agentic workflow v1.0

How each edition is produced

The Daily African Lens is produced using an agentic AI workflow — a structured sequence of seven specialised agents that handle distinct stages of the production process, from source monitoring to final publication. The editorial framing, analytical voice, ranking decisions, and second-order effect reasoning in our output represent the product of this workflow operating under defined editorial parameters set by the human editorial desk.

We are transparent about this production method because we believe it is material to how readers assess and use our content. Agentic production does not diminish editorial quality; it enables consistency, speed, and continental coverage scope that would be unachievable by a small human team covering 54 nations daily.

Agent 01

Source Monitor

Continuously scans the four source tiers across all 54 AU member states. Identifies candidate stories within the 24-hour SAST window and flags them for the selection pipeline.

Agent 02

Significance Ranker

Applies the six selection criteria (C-01 through C-06) to each candidate story, producing a ranked shortlist that does not exceed 20 items for daily editions.

Agent 03

Cross-Reference Verifier

Cross-checks ranked items across source tiers, identifies single-source stories requiring qualification, and flags factual discrepancies between sources covering the same event.

Agent 04

Editorial Writer

Produces the paraphrased editorial summaries for each ranked item, applying the publication's voice and the no-verbatim-reproduction standard. Generates source line attributions.

Agent 05

Second-Order Analyst

For AI Weekly Intelligence reports: models the downstream implications of key developments. Responsible for the "2nd-order effects" annotations and the strategic insights sections.

Agent 06

Risk & Opportunity Mapper

Structures the Risks and Opportunities sections of weekly reports. Applies a geopolitical, regulatory, and capital-allocation lens to the week's developments.

Agent 07

Publisher & Formatter

Assembles the final edition HTML, applies the design system, generates edition metadata (reference number, date stamp, source lines), and prepares both the archive version and the Substack newsletter distribution.

The workflow operates under continuous improvement — v1.0 indicates the current stable release of the pipeline. Changes to the workflow that materially affect editorial output or methodology are versioned and noted in the relevant editions.

§ 07 — Editorial independence

What independence means in practice

The Daily African Lens does not accept payment for coverage, positive framing, or editorial positioning of any kind. We have no advertising relationships. We are not sponsored by any of the companies, governments, or institutions we cover.

The following principles govern every editorial decision:

§ 08 — Corrections policy

How we handle errors

We distinguish between three types of error and handle each differently:

To submit a correction, include the edition reference number, the specific item, the claim you believe is in error, and supporting evidence. Contact details are in Section 09 below. We review all correction requests within 5 business days.

Editorial contact

For corrections, methodology questions, tip submissions, or partnership enquiries, contact the editorial desk. We respond to all substantive editorial enquiries.

The Daily African Lens · Intelligence Desk · Johannesburg, South Africa

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