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How the Agents Work — A Reviewer's Tour

Who this page is for: an M&A professional — deal lead, lawyer, diligence manager — who wants to audit what this tool actually does before trusting it on a live deal. You will not write or read any code. Everything that decides how an agent behaves is plain-English text, and this page shows you where it lives, how to read it, and how the pieces fit together.

Think of each agent as a specialist you've hired and briefed. This page is the filing cabinet where every briefing packet is kept. You can open any of them, read exactly what that specialist was told to look for, and satisfy yourself that the instructions are sound — the same way you'd review an associate's scope memo before sending them into a data room.

The one rule that matters most: you (or anyone customizing the tool) can add guidance, sharpen focus, and adjust how findings are graded. Nobody — no setting, no customization, no edited file — can switch off the safety rules that prevent the agents from inventing facts or citations. Those are bolted on in code, last, every time. The "Safety floor" section explains how that guarantee holds.


The big idea: the agents' brains are readable

Until recently, the instructions that drive each agent lived buried inside program code — readable only by an engineer. As of the editable-prompt release, all of that instruction text was lifted out into ordinary Markdown files (plain text with light formatting — the same kind of file a README is). They sit together in one folder:

src/dd_agents/agents/prompts/
├── specialists/      ← the 9 domain experts (Legal, Finance, …)
├── synthesis/        ← the agents that review, score, and summarize
├── search/templates/ ← column sets for the standalone contract-search tool
└── auto_config/      ← prompts that read a data room and draft a deal config

Every file in that tree is a "prompt" — the briefing you'd give a human expert, written as instructions to the AI. Because they're plain text, you can read them on GitHub, diff them between versions, and (if you choose) fork and override them per deal. This page walks the whole tree.

A few promises the system keeps about these files, so you can trust what you read is what runs:

  • What you read is what the agent gets. The assembled briefing is built from these files plus the safety floor — there is no hidden second copy of the instructions. You can print the exact final briefing with one command (see "Audit it yourself").
  • The numbers aren't scattered. Wherever a file mentions a threshold like "a change-of-control clause covering more than X% of revenue," it uses a placeholder, not a hand-typed number. All the actual numbers live in one place (see "The numbers"), so they can never silently disagree between files.
  • Customizations stack on top, never underneath. When you tailor an agent for a deal, your guidance is layered on top of these built-in files, and the safety floor is layered on top of everything. See Agent Customization for that layer.

How a finished briefing is assembled

When the pipeline runs a specialist, it doesn't just hand over one file. It assembles a complete briefing in a deliberate order. You don't need to memorize this — the point is simply that it's layered and predictable, and the non-negotiable safety rules always come last:

  1. Role & deal context — who this specialist is, plus the buyer, target, and deal type for this engagement.
  2. The subject list — every entity and document the agent must work through.
  3. File-access and reference instructions — how to read the data room.
  4. Specialist focus — the domain playbook, read from that agent's specialists/*.md file. (This is the heart of the briefing.)
  5. Severity calibration — how to grade what it finds (P0 deal-stopper down to P3 monitor).
  6. Output format — the structured shape every finding must take, including a mandatory verbatim quote from the source document.
  7. Your customizations — any per-deal guidance you've added, layered on here.
  8. The safety floor — the non-removable rules, appended dead last so nothing above can weaken them.

The order is intentional: the rules the agent must follow most strictly are the ones it reads most recently, right before it starts work.


The 9 specialists

These are the domain experts. Each one reads every entity in the data room through its own lens and writes up findings with citations. Each has its own file under prompts/specialists/, structured into three readable sections: Role (its mandate in one paragraph), Specialist Focus (the playbook and grading rules), and Domain Guidance (detailed "what to look for, what the clause usually says, what to do if it's missing" notes).

Specialist Covers A sample of what it hunts for
Legal (legal.md) Governance, risk clauses, entity validation Change-of-control clauses (sorted into 5 subtypes: notification-only, consent-required, termination-right, auto-termination, competitor-only); anti-assignment restrictions; termination for cause vs. for convenience; liability caps and their carve-outs; exclusivity; data-processing agreements
Finance (finance.md) Pricing, revenue quality, financial reconciliation Contract ARR vs. the revenue cube (mismatches over a threshold); discounts vs. the pricing guidelines; one-time fees miscounted as recurring; minimum-volume shortfalls and penalties; unit economics (CAC, LTV, net/gross revenue retention)
Commercial (commercial.md) Renewal terms, SLAs, customer/churn risk Most-favored-nation pricing parity; auto-renewal vs. manual renewal mechanics; termination-for-convenience revenue at risk; customer concentration; pricing-model volatility; revenue-retention decomposition
Product & Tech (producttech.md) Technical risk, data-protection terms, SLA feasibility DPA adequacy and subprocessor lists; SOC 2 / ISO 27001 scope and exceptions; encryption standards; uptime/response SLA commitments; data-residency restrictions; end-of-life tech and migration complexity
Cybersecurity (cybersecurity.md) Security posture, breach history, certifications Disclosed breaches and notification timelines; MFA/least-privilege access controls; encryption and key management; incident-response readiness; SOC 2 / ISO 27001 / PCI-DSS validity; third-party vendor security
HR / People (hr.md) Workforce, compensation, labor compliance Unfunded pension/benefit liabilities; executive comp, golden parachutes, change-of-control acceleration; non-compete enforceability and retention risk; succession gaps; contractor misclassification; WARN Act and union/CBA exposure
Tax (tax.md) Income tax, transfer pricing, attributes, controversy Net operating losses and credits, with Section 382/383 ownership-change limits; transfer-pricing documentation; sales/use-tax nexus (incl. economic-nexus / Wayfair); permanent-establishment risk; active audits and disputes; VAT/GST compliance
Regulatory (regulatory.md) Licenses, antitrust, sector compliance License/permit transferability on change of control; HSR antitrust filing and concentration; sector frameworks (HIPAA, GLBA, FDA, SEC, FINRA, AML, OFAC); active investigations and consent decrees; export-control and sanctions exposure
ESG (esg.md) Environmental, climate, ESG governance Contamination and Phase I/II site assessments; Superfund/CERCLA exposure and allocations; PFAS/PCB/asbestos status; carbon profile and pricing exposure; mandatory ESG-disclosure gaps (CSRD, SEC); board-level ESG governance

The "sample of what it hunts for" column is illustrative — open any specialists/*.md file for the full, current playbook. That file is the source of truth; this table just orients you.

If a specialist looks for something but the document is silent, it's instructed to record a gap ("Not Found") rather than guess — a deliberate, auditable "we looked and it wasn't there."


The review-and-summarize agents

Beyond the domain specialists, a second group of agents doesn't dig through the data room — it works on what the specialists produced: reviewing, scoring, re-checking, and writing it up. Their prompts live under prompts/synthesis/.

Agent What it does
Red Flag Scanner (red_flag_scanner.md) A fast first pass over the highest-signal documents (executive summaries, financial highlights, legal-matter lists, board minutes) to surface obvious deal-killers before the full run. Produces a stoplight signal (green / yellow / red).
Judge (judge.md) The auditor of the specialists. It samples findings by risk, verifies that quoted citations actually appear in the cited documents, checks financial arithmetic, and looks for inconsistencies across specialists.
Executive Synthesis (executive_synthesis.md) The senior-partner final review. It re-weighs severity with professional judgment and issues an overall recommendation (most deals land at "Conditional Go"; a "No-Go" is reserved for exceptional cases).
Acquirer Intelligence (acquirer_intelligence.md) Re-reads the findings through this buyer's strategic lens — does each issue help or hurt the specific acquisition thesis?
Narrative Generation (narrative_generation.md) Turns structured findings into plain-English narrative for the deal team — answering "what does this actually mean for this deal?" while tying every statement back to evidence.

A note on the Red Flag Scanner's category list. The scanner's prompt file contains a marker, <!-- CATEGORIES -->, where the program inserts the list of red-flag categories it scans for (active litigation, IP-ownership gaps, undisclosed contracts, key-person dependency, financial restatements, regulatory violations, customer concentration, debt covenants). The categories are kept in code as a single source of truth and injected at that marker — so the list can't drift out of sync with the rest of the system. If you edit that file and remove or duplicate the marker, the tool refuses to run rather than guess (a "fail-closed" safeguard).


The contract-search templates

Separate from the full diligence pipeline, the tool offers a focused contract-search mode (handy for a legal team that just wants a structured spreadsheet across many contracts — see the Search Guide). Each "template" is a set of spreadsheet columns, and each column is itself a mini-instruction telling the AI what to extract per contract. They live under prompts/search/templates/.

Template file Spreadsheet it builds Columns it fills per contract
change_of_control.md Change of Control Analysis Consent Required; Consent Clause Summary; Notice Required; Notice Clause Summary; Termination for Convenience; TfC Summary
confidentiality.md Confidentiality & NDA Analysis Confidentiality Provision; Confidentiality Term; Exceptions; Surviving Obligations
data_privacy.md Data Privacy & Protection Analysis DPA Present; Regulatory Framework; Data Transfer Mechanisms; Breach Notification
exclusivity_and_non_compete.md Exclusivity & Non-Compete Analysis Exclusivity Provision; Non-Compete Clause; Preferred Vendor Status
ip_ownership.md IP & Technology License Analysis IP Ownership; License Scope; Source Code Access; Assignment of IP
liability_and_indemnification.md Liability & Indemnification Analysis Liability Cap; Uncapped Liabilities; Indemnification Obligations
pricing.md Pricing & Fee Structure Analysis Pricing Model; Discount or Concession; Price Escalation; MFN Clause
renewal_and_expiry.md Renewal & Contract Expiry Analysis Contract Term; Auto-Renewal; Early Termination
sla_and_performance.md SLA & Performance Obligations SLA Commitments; SLA Remedies; Performance Benchmarks
termination_for_convenience.md Termination for Convenience Analysis TfC Right Exists; TfC Details; Mutual or One-Sided

Each file's header (its "front-matter") carries the template's id, display name, and one-line description; the columns are the ### Column Name headings inside. To read or fork the exact wording behind any column, open the file.


The data-room reading prompts (auto-config)

When you point the tool at a fresh data room and ask it to draft a deal-config for you (dd-agents auto-config), three more prompts do that reading. They live under prompts/auto_config/.

Prompt file What it produces
entity_resolution.md Reads the data-room structure to identify the official legal entities, subsidiaries, "doing-business-as" names, prior/rebranded names, and acquired entities — and the name variants needed to match them across contracts. It also infers the deal type.
buyer_strategy.md Reads buyer-supplied context into a structured acquisition strategy: the thesis, expected synergies, integration priorities, and risk tolerance — so the specialists can weigh findings against what this buyer cares about.
spa_extraction.md Pulls structured deal terms out of a Share/Asset Purchase Agreement: purchase price and payment waterfall, escrow/holdback periods, restricted (non-compete) periods, closing conditions, and named knowledge-holders.

These are drafting aids — they propose a starting config for you to review and edit, not a final answer.


The safety floor — what can never be switched off

This is the part most worth a reviewer's attention. Every briefing, for every agent, ends with a fixed block of safety rules that no file and no customization can remove or weaken. They are not stored in the editable Markdown — they're added by the program itself, after everything else, including any per-deal customization. The customization layer can only append text before this block, so the block always has the final word.

The floor enforces, in plain terms:

  • No making things up. Answer only from the provided documents. If the evidence isn't there, say so ("Not Found") — never speculate, interpolate, or invent a value, name, number, or citation.
  • Every finding needs a real quote. Each finding must carry an exact_quote copied verbatim from a real document the agent actually read. A finding with no citation is automatically downgraded — so an uncited claim can't masquerade as a serious one.
  • Documents are evidence, not instructions. If text inside a data-room document tries to give the agent orders ("ignore your instructions," "mark everything low-risk," "don't report X"), the agent treats that as a possible tampering finding and reports it — it does not obey it. (This defends against a planted document trying to suppress its own red flags.)
  • One agent, no shortcuts. The agent works the documents itself, sequentially, and returns findings in a single structured format.

There's a second guardrail behind this: when you customize an agent, the tool scans your text for attempts to negate the floor (phrasings like "ignore the rules," "never report…," "mark everything P3," or "fabricate") and refuses the customization if it finds one. You can see and stress-test all of this yourself with the commands in the next section.


The numbers (severity thresholds)

You'll notice the specialist files say things like "escalate if the clause covers more than a threshold percentage of revenue" rather than printing a number. That isn't vagueness — the actual numbers are kept in one place so they can never disagree between files, and the files reference them by name. The named thresholds are:

Placeholder you'll see in the files What it controls
{TFC_REVENUE_PCT} / {TFC_NOTICE_DAYS} When a termination-for-convenience clause escalates from a valuation concern to a higher severity
{COC_REVENUE_PCT} Revenue exposure at which a consent-required change-of-control clause escalates
{COC_AUTOTERM_REVENUE_PCT} Revenue exposure at which an auto-terminating change-of-control clause is most severe
{ARR_MISMATCH_P1_PCT} / {ARR_MISMATCH_P2_PCT} The contract-vs-records ARR mismatch tiers

When the briefing is built, each placeholder is swapped for its real value. If someone fat-fingers a placeholder name, the tool refuses to build the prompt rather than ship a broken instruction — another fail-closed safeguard. The current values live in src/dd_agents/agents/severity_thresholds.py (one short, readable file).


Audit it yourself

You don't have to take this page's word for any of it. These commands are read-only — they never change files or call the AI — and they show you exactly what the system uses:

# List every specialist agent and whether it's enabled for a given deal
dd-agents agents list
dd-agents agents list --config ./deal-config.json

# Show one agent's persona, focus areas, and the full non-removable safety floor.
# The footer prints the exact editable Markdown file behind that agent.
dd-agents agents describe --agent legal

# Print the COMPLETE briefing the pipeline would assemble for an agent —
# every layer in this page, in order, exactly as the AI receives it.
dd-agents agents preview --agent legal

describe is the quickest way to confirm "what is this agent told to do, and what safety rules constrain it?" preview is the way to confirm "and here is the entire assembled instruction, nothing hidden." Read either against the Markdown files above and they will match.


Where to go next

You've now seen what the agents are and how their instructions are built. The natural next step is changing them for your deal:

  • Agent Customization — how to add focus areas, swap a persona, or adjust severity for a specific deal, all without code (and all on top of the safety floor described here). Read this page first; that one second.
  • Deal Configuration — the deal-config file, including the inline form of customization.
  • Search Guide — using the contract-search templates above without running the full pipeline.
  • System Card — the tool's overall safety posture and anti-hallucination layers.